Senior LLMOps/AI Platform Engineer

Jacobs is looking for an experienced Senior 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

• Design, implement, and optimize MLOps and LLMOps practices for enterprise AI and GenAI solutions in cloud environments

• Build and manage CI/CD pipelines across development, UAT, and production environments to support controlled, reliable deployments

• Develop and maintain monitoring, observability, and operational dashboards covering system KPIs, usage analytics, model performance, and agent activity

• Implement versioning, traceability, and controlled prompt and configuration management for AI agents and GenAI components

• Support the productionization of multi-agent and RAG-based solutions that integrate structured and unstructured enterprise data sources

• Collaborate closely with AI engineers, data engineers, software engineers, architects, and product teams to ensure end-to-end delivery of scalable AI platforms

• Help design secure and governed AI solutions with strong access control, auditability, privacy controls, and hallucination mitigation mechanisms

• Contribute to testing and release processes including automated testing, smoke testing, integration testing, and performance validation

• Support backend and platform engineering activities using Python and cloud-native services

• Advise clients and internal stakeholders on platform design, operational governance, handover, and best practices for sustainable AI adoption

• Continuously improve engineering standards, automation, tooling, and delivery practices in line with evolving AI and business needs

Here's what you'll need

• 5+ years of experience in MLOps, DevOps, platform engineering, ML engineering, or related roles, with a strong focus on cloud-based solutions

• Strong proficiency in Python and experience supporting production grade software engineering practices

• Hands-on experience with Azure based environments and modern data and AI platforms such as Databricks and Fabric

• Experience building and managing CI/CD pipelines using Azure DevOps or equivalent tooling

• Strong understanding of model lifecycle management, deployment governance, monitoring, logging, and release processes for AI and ML systems

• Experience operationalizing GenAI, LLM, RAG, or multi-agent solutions in enterprise environments

• Knowledge of prompt management, model versioning, traceability, and observability practices for GenAI systems

• Experience designing or supporting secure enterprise solutions with role based access control, audit trails, and privacy safeguards

• Understanding of vector databases, metadata management, embeddings, indexing, and retrieval techniques to improve LLM output quality

• Experience working with structured and unstructured enterprise data to support scalable AI solutions

• Strong analytical and problem solving skills, with the ability to balance engineering quality, governance, and delivery speed

• Excellent communication and consulting skills, with the ability to work directly with stakeholders and contribute to architecture and operating model discussions

Nice to Have

• Enterprise & regulated AI delivery: Experience building AI solutions in regulated industries and consulting environments, with strong exposure to enterprise data governance patterns (e.g., Databricks Unity Catalog) and multi‑client delivery 

• Conversational AI & integrations: Hands‑on experience supporting conversational and multilingual AI solutions delivered via custom web applications and Microsoft Teams, including frontend integration patterns 

• Engineering excellence & AI safety: Familiarity with trunk‑based development, modern testing strategies, and AI safety practices such as guardrails, output validation, and hallucination mitigation

We offer

• Rewarding employment full-time employment/b2b contract with a salary that matches your qualifications

• Hybrid work model - enjoy the flexibility of working from home, with just several office days per month

• Flexible hours - start your day anytime between 7:30 and 10:00 AM

• Comprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system

• Co-financed holidays - enjoy "Wczasy pod Gruszą" for a well-deserved break

• Global projects - engage in exciting international projects

• Inclusive networks - join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more

• Continuous learning - participate in our Graduate Development Program, Learners’ Community, and self-learning platforms

• Language 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