LLMOps AI Platform Engineer

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact Jacobs is looking for an experienced LLMOps/AI Platform Engineer to join our team. In this role, you will help design, build, and operationalize enterprise-grade AI and GenAI solutions in cloud environments, with a strong focus on scalability, governance, observability, and production readiness. You will work across modern AI platforms and delivery teams to enable secure, reliable, and maintainable multi-agent, RAG, and conversational AI solutions that integrate with enterprise data landscapes and support real business outcomes. Key Responsibilities Implement and improve MLOps and LLMOps practices for enterprise AI and GenAI solutions in cloud environmentsBuild and maintain CI/CD pipelines across development, UAT, and production environmentsDevelop monitoring, logging, observability, and operational dashboards covering system health, usage, model performance, and agent activitySupport versioning, traceability, and controlled management of prompts, configurations, models, and AI componentsContribute to the productionization of multi-agent, RAG, and conversational AI solutionsIntegrate AI solutions with structured and unstructured enterprise data sourcesCollaborate with AI engineers, data engineers, software engineers, architects, and product teams throughout the delivery lifecycleImplement security and governance controls, including access management, auditability, privacy safeguards, and output validationContribute to automated testing, smoke testing, integration testing, and performance validationSupport backend and platform engineering activities using Python and cloud-native servicesParticipate in technical discussions with clients and internal stakeholders regarding platform operations, governance, deployment, and solution handoverHelp improve engineering standards, automation, tooling, documentation, and delivery practices Here's what you'll need 3+ years of experience in MLOps, DevOps, platform engineering, ML engineering, software engineering, or a related roleGood proficiency in Python and familiarity with production software engineering practicesHands-on experience with cloud environments, preferably Microsoft AzureExperience with data or AI platforms such as Databricks, Microsoft Fabric, Azure Machine Learning, or similar technologiesExperience building or maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent toolingUnderstanding of deployment, monitoring, logging, versioning, and release processes for AI, ML, or data systemsExperience working with at least one GenAI pattern, such as LLM applications, RAG, conversational AI, or AI agentsFamiliarity with prompt management, model configuration, traceability, or observability practices for GenAI systemsUnderstanding of enterprise security concepts, including role-based access control, audit trails, secrets management, and privacy safeguardsFamiliarity with embeddings, vector databases, indexing, metadata management, or retrieval techniquesExperience working with structured or unstructured dataStrong analytical and problem-solving skillsAbility to collaborate effectively within multidisciplinary delivery teamsGood communication skills and willingness to develop client-facing and consulting capabilitiesCandidates are not expected to have experience with every technology listed. We value strong engineering fundamentals, practical cloud experience, and the ability to learn and apply new technologies Nice to have Experience delivering AI, data, or cloud solutions in enterprise, consulting, or regulated environmentsFamiliarity with enterprise data governance tools and patterns, such as Databricks Unity CatalogExperience supporting conversational or multilingual AI solutionsFamiliarity with integrations involving custom web applications, APIs, or Microsoft TeamsExposure to frontend integration patternsFamiliarity with trunk-based development and modern automated testing practicesUnderstanding of AI safety practices, including guardrails, output validation, evaluation, and hallucination mitigationExposure to infrastructure as code, containerization, or Kubernetes We offer Rewarding employment full-time employment/b2b contract with a salary that matches your qualificationsHybrid work model - enjoy the flexibility of working from home, with just several office days per monthFlexible hours - start your day anytime between 730 and 1000 AMComprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing systemCo-financed holidays - enjoy "Wczasy pod Gruszą" for a well-deserved breakGlobal projects - engage in exciting international projectsInclusive networks - join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and moreContinuous learning - participate in our Graduate Development Program, Learners’ Community, and self-learning platformsLanguage courses - enhance your skills with courses in English, German, and Polish We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs. As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team [1] recruitmentpoland@jacobs.com Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.