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Job Description Job Purpose: The Level 3 Network Security Engineer is a senior technical expert responsible for designing, implementing, and troubleshooting complex network security solutions across the organization. This role requires in-depth knowledge of enterprise security technologies, proactive threat mitigation, and seamless integration of security controls into the network infrastructure to meet the regulatory demands of a financial institution. Key Responsibilities & Duties Design & Architecture: Develop and maintain security architecture for network infrastructure, including firewalls, VPNs, proxies, and intrusion prevention systems. Ensure alignment with security frameworks such as SAMA, ISO 27001, and NIST. Advanced Troubleshooting: Lead in-depth analysis and resolution of complex security-related incidents and performance issues. Coordinate with cross-functional teams during security investigations and post-incident reviews. Security Operations & Monitoring: Implement and maintain security monitoring tools (e.g., SIEM, IDS/IPS). Analyze security logs and traffic patterns to identify and mitigate potential threats. Firewall & Perimeter Management: Manage and optimize enterprise firewalls (e.g., Fortinet, Palo Alto, Cisco ASA). Oversee access control policies, NAT, site-to-site VPNs, and internet gateways. Compliance & Risk Management: Enforce security policies and ensure audit readiness for internal and external compliance. Assist in risk assessments, vulnerability management, and remediation planning. Project Support & Integration: Participate in the design and deployment of new applications and services, ensuring secure-by-design principles are followed. Evaluate emerging technologies and recommend security enhancements. Documentation & Standards: Maintain detailed documentation of configurations, policies, and procedures. Contribute to the continuous improvement of network security standards and practices. Skills & Qualifications Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role Deep understanding of enterprise-grade firewalls, VPNs, NAC, and threat detection tools. Strong troubleshooting skills across Layer 2–7, with a focus on perimeter and endpoint protection. Familiarity with Zero Trust architecture, segmentation, and defense-in-depth strategies. Hands-on experience with Fortinet, Palo Alto, Cisco ASA/FTD, and relevant security tools. Excellent communication skills and experience working with cross-functional teams. Education & Certifications Bachelor’s Degree in Computer Science, Information Security, or related field. Preferred certifications: - Fortinet NSE 4–7 - Palo Alto PCNSE - Cisco CCNP Security / CCIE Security - CISSP or CISM (a plus) Working Conditions May require occasional on-site support during major incidents or projects. Flexibility to work off-hours for emergency changes or incidents. Regular collaboration with infrastructure, SOC, and compliance teams. Platform Proficiency (Required) Palo Alto NGFW — primary enterprise firewall platform (design, policy management, threat prevention, GlobalProtect VPN) Cisco ASA/FTD — secondary firewall platform Cisco ISE — Network Access Control (posture assessment, guest access, BYOD workflows, subject to Cybersecurity team approvals) SolarWinds NPM/NTA — network security monitoring and traffic analysis Dynatrace — full-stack observability for security event correlation ServiceNow — change control, incident management for all security changes (CAB process, maintenance windows, evidence attachment, rollback plans) Compliance & Regulatory (Maaden-Specific) NCA (National Cybersecurity Authority) — Saudi national cybersecurity framework (replaces SAMA, which applies to banking sector only) NDMO (National Data Management Office) — Saudi data governance mandates ISO 27001, NIST, CIS hardening baselines Support for NCA/CIS-aligned server and network device hardening with drift correction Operational Context Coordinate with SOC team for remediation/evidence (SOC operations themselves are out of DXC scope — owned by Maaden Cybersecurity) Participate in Unified Endpoint Security (UES) consolidation initiative (current state: multiple EDR/AV agents causing policy conflicts) Support Zero Trust architecture implementation aligned with network segmentation strategy across all 23+ sites Preferred Certifications (Reordered For Maaden) Palo Alto PCNSE (primary) Cisco CCNP Security / CCIE Security CISSP or CISM (a plus) Fortinet NSE certifications (desirable but not primary) Language Bilingual Arabic and English proficiency required At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here. Show more

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing. Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing. Job Purpose: We are looking for a Senior SecOps Engineer to act as the technical SME for cloud and solutions security, supporting presales and delivery engagements on network security, firewalls, and DevSecOps. The role owns security architecture design, technical governance, and hands-on implementation guidance across customer environments. Responsibilities: Act as the technical SME on network security, firewalls (FortiGate, Palo Alto, Check Point, or similar), and DevSecOps across presales and delivery engagements Lead the design and review of secure cloud and hybrid architectures: network segmentation, Zero Trust, IAM, WAF, SIEM/SOAR Own firewall and network security architecture design, sizing, and migration, including HA/failover, VPN, and segmentation Design and implement DevSecOps pipelines: security-as-code, SAST/DAST/SCA integration, and policy-as-code Apply cloud security best practices to protect applications, data, and infrastructure across IaaS/PaaS/SaaS Provide technical presales support: SME sessions, security assessments, proposals, and statements of work for security engagements Support incident response, threat detection, and vulnerability management across cloud/hybrid environments Contribute to security governance: compliance mapping (ISO 27001, NIST, CIS Benchmarks), risk assessments, and client security reviews Maintain and evolve the SecOps knowledge base, security policies, and playbooks Mentor mid-level SecOps engineers and contribute to internal security capability building Requirements Bachelor's degree in Computer Science, Engineering, or related field 6+ years of hands-on experience in cloud/network security, with demonstrated SME-level depth in at least two of: network security, firewalls, DevSecOps Proven expertise with enterprise firewall platforms (FortiGate, Palo Alto, Check Point, or similar) - design, migration, and HA/failover Hands-on expertise in cloud security controls: WAF, IAM, SCPs, Secrets Management, KMS, CASB, DLP, SIEM/SOAR across AWS, Azure, and/or GCP Strong proficiency in Infrastructure as Code and Security as Code (Terraform, CloudFormation, Azure ARM) Solid knowledge of network security fundamentals: VPNs, IDS/IPS, micro-segmentation, Zero Trust Practical experience with container/Kubernetes security (admission controllers, service mesh, runtime scanning, policy enforcement) Experience integrating security into CI/CD pipelines (SAST/DAST/SCA tools, policy-as-code) Working knowledge of compliance frameworks: ISO 27001, SOC 2, GDPR, CIS Benchmarks Proficiency in automation/scripting (Python, Bash, or PowerShell) for security tasks Certificates: Fortinet NSE4+ or Palo Alto PCNSE (or equivalent), plus a cloud security certification (AWS/Azure/GCP Security Specialty) or CISSP/CCSP Show more

Job Purpose The Cybersecurity GRC Engineer plays a critical dual role in safeguarding the organization’s digital assets while advancing its cybersecurity governance maturity. This position is responsible for detecting and responding to threats, managing vulnerabilities, and maintaining core security infrastructure. Simultaneously, the role ensures alignment with regulatory standards and cybersecurity frameworks by managing risk, enforcing compliance, and supporting audit readiness. By integrating operational defense with strategic risk oversight, the engineer contributes to a secure, resilient, and regulation-compliant environment that supports business continuity and digital trust. Responsibilities/Duties Profil de candidat recherché : Cybersecurity Operations Perform root cause analysis and assist in remediation of security breaches. Conduct vulnerability assessments and ensure timely patching and configuration updates. Collaborate with IT teams to safeguard systems, networks, and cloud environments. Governance, Risk & Compliance (GRC) Develop and enforce security policies, procedures, and standards aligned with ISO 27001, NIST, and internal audit requirements. Maintain the information security risk register and manage control assessments. Support third-party risk assessments and internal/external audit readiness. Perform risk and impact assessments for IT and business processes, proposing mitigation plans. Monitor compliance with data protection laws, regulatory standards, and internal controls. Develop cybersecurity awareness content and promote a risk-aware culture. Security Monitoring, Metrics & Reporting Build dashboards and metrics for key risk indicators (KRIs) and performance indicators (KPIs). Provide reports on incident response, compliance gaps, and control effectiveness. Ensure documentation of security incidents, investigations, and preventive actions. Support change management processes by reviewing technical risks and security implications of system modifications. Continuous Improvement & Research Stay updated on cybersecurity trends, technologies, and threat intelligence. Recommend tools and best practices to enhance detection, prevention, and recovery capabilities. Participate in cybersecurity projects, system upgrades, and cross-departmental initiatives. Drive maturity improvement by contributing to gap analyses, self-assessments, and capability building. Qualifications ESSENTIAL QUALIFICATIONS, KNOWLEDGE & EXPERIENCE Bachelor’s degree in Computer Science, Information Security, Engineering, or related field. Relevant certifications such as: Technical Security: CompTIA Security+, CEH, eJPT, ECIR, or GIAC. GRC & Risk: CRISC, ISO 27001 Lead Implementer/Auditor. Fluent in English and Arabic, French is a plus. Knowledge Strong grasp of cybersecurity principles, risk assessment, incident response, and threat intelligence. Familiarity with industry frameworks: ISO 27001, NIST CSF, CIS Controls. Good understanding of IT infrastructure, access control, networking protocols (TCP/IP, DNS, HTTP), and Active Directory. Working knowledge of scripting (e.g., PowerShell, Python, Bash) is a plus. Experience 3-5 years of experience in cybersecurity or GRC, preferably within a large or regulated organization. Practical involvement in security operations, compliance audits, vulnerability assessments, and control implementations. Experience handling internal and external assessments, including ISO audits and risk evaluations. Exposure to Operational Technology (OT)/IACS environments is a strong advantage. Experience with third-party risk management and security audits. Experience using security technologies: SIEM, firewalls, IDS/IPS, EDR, vulnerability management platform. DESIRED BEHAVIORS Security-first mindset with a high sense of integrity, responsibility, and ethical conduct. Critical thinker who applies analytical skills to diagnose risks and resolve security challenges effectively. Detail-oriented, especially when evaluating incidents, documentation, and compliance requirements. Communicates with impact, able to translate technical risks into understandable business terms across all levels. Collaborative team player who fosters alignment between cybersecurity, IT, and business functions. Proactive learner who stays current with evolving threat landscapes, compliance standards, and best practices. Resilient and organized under pressure, capable of balancing multiple tasks while meeting deadlines. Persuasive and assertive, driving security adoption across the organization without compromising stakeholder relationships. Comfortable with ambiguity, and adaptable to evolving priorities in a dynamic cybersecurity landscape. Show more

Who We Are Is What We Do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly. Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers. Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are. Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator's top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google. Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work. Summary This role ensures compliant and high-quality HR operations within the assigned country, managing onboarding and offboarding, leave requests, and administrative processes for Employees of Record (EORs) in line with local laws and operational guidelines. It also serves as the country subject matter expert, supporting EORs and clients, maintaining HR knowledge, and contributing to HR projects including mass onboarding and offboarding initiatives. Responsibilities Ensuring and maintaining compliance and HR operations in their assigned country in accordance with relevant employment laws and regulations and operational rules and RACI. Managing leave requests and processing administrative tasks for Employee of Records (EORs), such as applications, HR letters, and enrollments. Auditing, maintaining, and updating internal and external HR-related knowledge in collaboration with stakeholders. Providing support to EORs and clients for HR-related questions or concerns through all available communication channels. Managing standard onboarding and offboarding processes for EORs. Collaborating on HR project management, specifically for mass onboarding and offboarding initiatives. Responsible for ensuring the quality of the HR operations in the assigned countries. Being the subject matter expert for the country's operational quality and knowledge. Qualifications Minimum of 3-5 years of experience as an HR Specialist or similar roles managing the full employee lifecycle (onboarding to termination) in a fast-paced environment, and supporting a high volume of employees. Mandatory fluency in English and French (written and spoken). Mandatory: Hands-on HR experience supporting employees in France, with knowledge of local labor law and employment regulations. Really good to have: HR experience supporting employees in Benelux countries (Belgium, Netherlands, Luxembourg). Mandatory to be located in the EMEA region, and International HR experience in this region and beyond is a competitive advantage. HR qualifications or certifications are a valuable asset. Excellent communication skills and strong customer orientation. Experience working in start-up environments is highly valued. Strong analytical skills: identify, scope and resolve complex and sensitive HR issues. Data driven: you challenge the status quo and strive to improve response times and employee experience. Experience using JIRA, Zendesk, Slack, Claude, Gemini or other tools is a plus. Comfortable working in a fast-paced, dynamic environment and managing changing priorities. Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. Our salary range reflects gross base salary. For commercial roles with commission eligibility, this figure represents On-Target Earnings (OTE), inclusive of base salary and target commission. Salary ranges are quoted in USD as a consistent global reference. Your offer will be localized to your country's currency using a market-aligned conversion. Final pay is based on objective, job-related criteria including experience, skills, and location. We don't ask about salary history. Offers are based on the role and what you bring to it. Some things you'll enjoy Stock grant opportunities dependent on your role, employment status and location Additional perks and benefits based on your employment status and country Optional flexible working office membership, with IWG At Deel, we're an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics. Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page. Deel welcomes persons with disabilities to apply to any of our open roles. We will provide application and/or interview accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities or other needs. If you require application and/or interview accommodations, please inform our Talent Acquisition Team via email (recruiting@deel.com) and a team member will be in touch to ensure your equal participation. As part of our hiring process, we primarily rely on interviews and role-related assessments. In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations. This application process may utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications. This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws. We ensure human oversight is maintained in all final hiring decisions. Your personal data is not used to train AI models. For more information on how we process your personal data, please see our Recruitment Privacy Policy. For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT Show more

Job Purpose: The Senior Network Security Engineer is a senior technical expert responsible for designing, implementing, and troubleshooting complex network security solutions across the organization. This role requires in-depth knowledge of enterprise security technologies, proactive threat mitigation, and seamless integration of security controls into the network infrastructure to meet the regulatory demands of a financial institution. Key Responsibilities & Duties: · Design & Architecture: Develop and maintain security architecture for network infrastructure, including firewalls, VPNs, proxies, and intrusion prevention systems. Ensure alignment with security frameworks such as SAMA, ISO 27001, and NIST. · Advanced Troubleshooting: Lead in-depth analysis and resolution of complex security-related incidents and performance issues. Coordinate with cross-functional teams during security investigations and post-incident reviews. · Security Operations & Monitoring: Implement and maintain security monitoring tools (e.g., SIEM, IDS/IPS). Analyze security logs and traffic patterns to identify and mitigate potential threats. · Firewall & Perimeter Management: Manage and optimize enterprise firewalls (e.g., Fortinet, Palo Alto, Cisco ASA). Oversee access control policies, NAT, site-to-site VPNs, and internet gateways. · Compliance & Risk Management: Enforce security policies and ensure audit readiness for internal and external compliance. Assist in risk assessments, vulnerability management, and remediation planning. · Project Support & Integration: Participate in the design and deployment of new applications and services, ensuring secure-by-design principles are followed. Evaluate emerging technologies and recommend security enhancements. · Documentation & Standards: Maintain detailed documentation of configurations, policies, and procedures. Contribute to the continuous improvement of network security standards and practices. Skills & Qualifications: · Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role · Deep understanding of enterprise-grade firewalls, VPNs, NAC, and threat detection tools. · Strong troubleshooting skills across Layer 2–7, with a focus on perimeter and endpoint protection. · Familiarity with Zero Trust architecture, segmentation, and defense-in-depth strategies. · Hands-on experience with Fortinet, Palo Alto, Cisco ASA/FTD, and relevant security tools. · Excellent communication skills and experience working with cross-functional teams. Education & Certifications: · Bachelor’s Degree in Computer Science, Information Security, or related field. · Preferred certifications: · - Fortinet NSE 4–7 · - Palo Alto PCNSE · - Cisco CCNP Security / CCIE Security · - CISSP or CISM (a plus) Working Conditions: · May require occasional on-site support during major incidents or projects. · Flexibility to work off-hours for emergency changes or incidents. · Regular collaboration with infrastructure, SOC, and compliance teams. Platform Proficiency (Required) · Palo Alto NGFW — primary enterprise firewall platform (design, policy management, threat prevention, GlobalProtect VPN) · Cisco ASA/FTD — secondary firewall platform · Cisco ISE — Network Access Control (posture assessment, guest access, BYOD workflows, subject to Cybersecurity team approvals) · SolarWinds NPM/NTA — network security monitoring and traffic analysis · Dynatrace — full-stack observability for security event correlation · ServiceNow — change control, incident management for all security changes (CAB process, maintenance windows, evidence attachment, rollback plans) Compliance & Regulatory (Maaden-Specific) · NCA (National Cybersecurity Authority) — Saudi national cybersecurity framework (replaces SAMA, which applies to banking sector only) · NDMO (National Data Management Office) — Saudi data governance mandates · ISO 27001, NIST, CIS hardening baselines · Support for NCA/CIS-aligned server and network device hardening with drift correction Operational Context · Coordinate with SOC team for remediation/evidence (SOC operations themselves are out of DXC scope — owned by Maaden Cybersecurity) · Participate in Unified Endpoint Security (UES) consolidation initiative (current state: multiple EDR/AV agents causing policy conflicts) · Support Zero Trust architecture implementation aligned with network segmentation strategy across all 23+ sites Preferred Certifications (Reordered for Maaden) · Palo Alto PCNSE (primary) · Cisco CCNP Security / CCIE Security · CISSP or CISM (a plus) · Fortinet NSE certifications (desirable but not primary) Language Bilingual Arabic and English proficiency required Show more

AI Engineer – Agentic AI & LLM Applications Job Summary We are seeking an AI Engineer to help transition enterprise AI capabilities from prototype to production. In this role, you will design, build, and deploy robust Agentic AI systems capable of planning, reasoning, and executing complex business workflows. You will combine strong software engineering skills with hands-on expertise in LLMs, AI agents, RAG, orchestration frameworks, tool calling, evaluation, observability, and LLMOps. You will also experiment with emerging models, frameworks, and tools to identify technologies that can deliver measurable business value. The ideal candidate is a hands-on and forward-thinking engineer who enjoys experimentation but understands what is required to operate AI systems reliably in production. You will work closely with product managers, business stakeholders, data engineers, and platform teams to deliver AI solutions that address real-world enterprise needs. Project Overview About the Client Our client is a leading multi-brand technology solutions provider serving business, government, education, and healthcare customers across the United States, United Kingdom, and Canada. The organization provides a broad range of technology offerings, spanning hardware and software through integrated IT solutions including security, cloud, data center, and networking. About the Project The project focuses on advancing enterprise AI capabilities from experimentation and prototyping into reliable, scalable, production-grade Agentic AI solutions. The team is developing AI agents capable of interacting with enterprise systems, retrieving and reasoning over business data, invoking tools, maintaining state, and executing multi-step workflows with appropriate human oversight. This role provides an opportunity to work at the intersection of AI engineering, software engineering, LLM applications, RAG, agent orchestration, and production AI operations. Key Responsibilities Agentic AI Engineering & Orchestration Architect, design, develop, and deploy complex Agentic AI workflows using modern AI technologies and the Microsoft AI ecosystem. Build multi-agent systems capable of handling complex workflows, loops, interruptions, and human-in-the-loop interventions. Design reliable agent orchestration patterns using frameworks such as LangChain, LangGraph, or equivalent technologies. Develop tool-use and function-calling capabilities that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms. Integrate agents with enterprise platforms such as Salesforce, Workday, ServiceNow, and other business systems. Design agent state-management solutions supporting memory, conversational history, context management, and persistence. Implement appropriate safeguards around agent actions, tool access, and autonomous execution. LLM & Model Engineering Integrate and evaluate commercial and enterprise LLM APIs, including OpenAI, Azure OpenAI, Anthropic, Gemini, and similar providers. Experiment with emerging models, agent frameworks, tools, and techniques to identify opportunities for enterprise adoption. Design prompts and agent instructions using advanced techniques such as ReAct, few-shot prompting, structured outputs, and other appropriate approaches. Optimize applications to handle model limitations including rate limits, context-window constraints, latency, non-deterministic responses, and transient failures. Evaluate model performance across different use cases and select appropriate models based on quality, latency, cost, and business requirements. RAG & Data Engineering Design and implement production-grade Retrieval-Augmented Generation (RAG) pipelines. Optimize document ingestion, chunking, embeddings, vector indexing, retrieval, and re-ranking strategies. Work with vector databases such as Pinecone, Weaviate, pgvector, or equivalent technologies. Collaborate with Data Engineering teams to develop and maintain high-quality golden datasets for agent and RAG evaluation. Implement strategies to improve retrieval accuracy, relevance, freshness, and context quality. Ensure data pipelines support reliable and secure consumption by AI agents. LLMOps, Evaluation & Quality Develop automated evaluation pipelines for AI applications and agents. Implement LLM-as-a-Judge and other evaluation approaches to measure accuracy, relevance, hallucination, safety, and task completion. Integrate AI quality gates into CI/CD pipelines to prevent poorly performing agent versions from reaching production. Establish evaluation datasets, benchmarks, regression tests, and quality metrics for AI systems. Implement production observability and tracing to monitor agent workflows, model calls, tool usage, latency, errors, and failures. Use tracing and observability platforms to investigate agent behavior and troubleshoot production issues. Monitor token consumption, model usage, latency, and infrastructure costs. Optimize prompts, context size, caching, model selection, and application architecture to improve cost and performance. Production Engineering Transform AI prototypes and proof-of-concepts into maintainable, scalable, production-ready applications. Apply software engineering best practices including testing, version control, code reviews, documentation, CI/CD, and automated quality controls. Design systems that account for the probabilistic nature of AI while maintaining predictable business outcomes. Implement appropriate error handling, retries, fallbacks, validation, and human-in-the-loop controls. Ensure AI applications meet enterprise requirements for reliability, security, scalability, and maintainability. Innovation & Collaboration Evaluate emerging AI models, frameworks, agent protocols, and technologies. Identify opportunities to standardize emerging technologies across the enterprise. Collaborate with Product Managers and business stakeholders to translate business problems into practical AI solutions. Communicate technical concepts and AI limitations clearly to non-technical stakeholders. Document architecture, technical designs, implementation decisions, and operational practices. Share knowledge and establish engineering best practices across the AI development community. Required Skills & Experience Core Engineering Bachelor's degree with 5+ years of software engineering experience, including exposure to AI/ML applications; or 9+ years of software engineering experience with exposure to AI/ML applications. Strong hands-on Python development experience. Strong software engineering fundamentals, including APIs, distributed systems, testing, version control, and production application development. Experience building and deploying production software rather than only prototypes or proof-of-concepts. Agentic AI Hands-on experience designing and building AI agents / Agentic AI solutions. Experience implementing multi-step agent workflows, tool calling, function calling, and agent orchestration. Experience with LangChain, LangGraph, or comparable agent orchestration frameworks. Understanding of agent state, memory, context management, and human-in-the-loop patterns. LLM Engineering 2+ years of hands-on experience building applications with LLMs. Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Anthropic, Gemini, or equivalent. Strong understanding of prompt engineering and LLM application design. Experience handling production challenges including rate limits, context-window limitations, latency, failures, and non-deterministic outputs. RAG & Vector Databases Experience designing and implementing RAG solutions. Hands-on experience with vector databases such as Pinecone, Weaviate, pgvector, or equivalent. Understanding of embeddings, chunking, vector search, metadata filtering, retrieval optimization, and re-ranking. LLMOps & Production AI Experience implementing AI evaluation and testing strategies. Experience with automated evaluation, regression testing, or LLM-as-a-Judge approaches. Experience with AI observability, tracing, and production monitoring. Understanding of AI cost optimization, including token usage, caching, prompt optimization, and model selection. Preferred Skills Experience with Microsoft AI technologies and the Azure AI ecosystem. Experience with Azure OpenAI. Experience with enterprise SaaS integrations such as Salesforce, Workday, or ServiceNow. Experience with agent evaluation frameworks and AI observability platforms. Experience implementing multi-agent architectures. Experience with structured outputs and tool/function calling. Experience with AI security, guardrails, and responsible AI practices. Experience with CI/CD and MLOps/LLMOps platforms. Experience evaluating emerging agent protocols and connectivity standards. Experience with Kubernetes and cloud-native application deployment. Technical Environment Language: Python LLMs: OpenAI, Azure OpenAI, Anthropic, Gemini Agent Frameworks: LangChain, LangGraph, and similar frameworks Vector Databases: Pinecone, Weaviate, pgvector AI Architecture: Agentic AI, Multi-Agent Systems, RAG Enterprise Integration: APIs, SaaS platforms, databases, enterprise applications AI Quality: LLM-as-a-Judge, evaluation datasets, regression testing Observability: AI tracing, distributed tracing, application monitoring Cloud: Microsoft Azure and enterprise cloud environments Engineering: Python, Git, CI/CD, automated testing Key Competencies Agentic AI Architecture LLM Application Development Python Engineering RAG & Retrieval Engineering Agent Orchestration Tool & Function Calling LLM Evaluation AI Observability Production AI Engineering AI Cost & Performance Optimization Education Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline is preferred. Why This Position? This is an opportunity to work on the transition from AI experimentation to enterprise-scale production AI. You will have the opportunity to: Build sophisticated Agentic AI systems that solve real business problems. Work hands-on with rapidly evolving LLMs, models, and AI frameworks. Design production-grade architectures rather than isolated AI prototypes. Influence enterprise standards for agent orchestration, RAG, evaluation, and LLMOps. Collaborate with product, business, data, platform, and engineering teams. Help define how AI agents are safely and reliably deployed across the enterprise. Show more