AI Ops Engineer

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Endava

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2023-02

Healthcare • Marketing • Logistics

Endava is a technology company that partners with clients to drive meaningful change through innovative technological solutions. With over two decades of experience, Endava combines world-class engineering, industry expertise, and a people-centric mindset to transform businesses across various sectors. Specializing in areas such as finance and banking, healthcare, media, and telecommunications, Endava leverages its industry-specific knowledge to create solutions that meet the evolving needs of the market. The company is committed to building trusted partnerships and creating positive impacts for both businesses and people.

📋 Description

• Design, build, and enhance LLM-powered and agentic AI solutions for enterprise Infrastructure & Operations use cases • Develop and integrate domain-specific AI agents for questions, operational investigations, and defined workflows • Build MCP integrations and tool-calling capabilities connecting AI agents to enterprise platforms and APIs • Develop backend services and integrations primarily using Python and REST APIs • Integrate the AI platform with ServiceNow/CMDB, Dynatrace, Zabbix, and GCP • Build pipelines and services to ingest, normalize, enrich, and contextualize operational data • Implement RAG and grounding strategies for accurate enterprise context • Develop read-only AI workflows for incident triage, incident management, RCA, infrastructure discovery, and Help Desk automation • Extend workflows toward controlled automation, proactive outage prevention, and coordinated self-healing • Apply guardrails, validation, access controls, and human-in-the-loop patterns • Use AI-assisted engineering tools to accelerate software development and automation • Implement AI observability and evaluation capabilities measuring quality, confidence, token consumption, reliability, latency, and MTTR • Collaborate with architects, platform engineers, observability, IT operations, search, data, and security teams • Improve knowledge quality and cross-validation to reduce hallucinations • Contribute to secure, scalable, observable, and maintainable enterprise AI engineering standards and patterns

🎯 Requirements

• 3–5 years of overall relevant engineering experience • Approximately 1–2 years of hands-on Generative AI/LLM experience • Approximately 2–3 years of foundational experience in backend software, Python, API integration, data, cloud, automation, or AIOps • Strong Python programming skills and production backend service experience • Strong experience designing, building, and consuming RESTful APIs • Practical knowledge of LLMs, prompt engineering, context management, embeddings, vector retrieval, and RAG • Hands-on experience with agentic or multi-agent frameworks such as LangChain/LangGraph, AutoGen, CrewAI, or comparable technologies • Experience or strong understanding of MCP, function/tool calling, agent registries, and AI orchestration patterns • Experience with modern AI coding assistants or autonomous development tools such as Devin or Windsurf • Familiarity with ServiceNow/CMDB, Dynatrace, Zabbix, and/or GCP • Understanding of ITSM, incident management, observability, monitoring, infrastructure telemetry, or AIOps • Experience with structured and unstructured data for AI consumption • Understanding of AI safety, data governance, security, access control, grounding, hallucination mitigation, and responsible AI • Experience designing or operating reliable, scalable, observable, and maintainable production systems • Ability to understand complex enterprise environments and translate operational requirements into technical solutions • Ability to collaborate with architects, engineers, infrastructure, IT operations, security, and other technical stakeholders • Comfortable delivering phased solutions from read-only AI assistance to controlled automation and agentic execution • Ability to work onsite at corporate or client offices as necessary • For positions requiring travel or event attendance, valid driver’s license and acceptable driving record are required

🏖️ Benefits

• Competitive salary package • Share plan • Company performance bonuses • Value-based recognition awards • Referral bonus • Career coaching • Global career opportunities • Non-linear career paths • Internal development programmes for management and technical leadership • Complex projects • Rotations • Internal tech communities • Training • Certifications • Coaching • Online learning platforms subscriptions • Pass-it-on sessions • Workshops • Conferences • Hybrid work • Flexible working hours • Employee assistance programme • Global internal wellbeing programme • Access to wellbeing apps • Hobby clubs and interest groups • Inclusion and diversity programmes • Events and celebrations • Medical, Dental, vision, Disability coverage • Flexible Spending Accounts (Medical, Transit, and Dependent Care) • Employer Paid Life Insurance and AD&D Coverages • Health Savings account paired with our low-cost High Deductible Medical Plan • 401(k) Safe Harbor Retirement plan with employer match with immediately vest