- Roland Berger
- Lisbon,
- Full-Time
- 81 days ago
Forward Deployed Engineer (all genders).
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Forward Deployed Engineer (all genders): our view in 3 lines...
- The Role:A client-facing engineering role delivering GenAI proofs-of-value and pilots into production for the Roland Berger AI Lab.
- The Person:Lead client workshops to define requirements and deliver PoVs and pilots by coding Python pipelines, building agentic workflows, fine-tuning models, evaluating results and integrating secure cloud and MCP deployments.
- Requirements:Requires Python, expertise with AI agents, fine-tuning models, CI/CD tools (GitHub, GitLab, Azure DevOps), Docker and cloud deployments on Azure, AWS and GCP.
About the role
Job Description
Join our growing Roland Berger AI Lab to turn high-value ideas into working (Gen)AI solutions—quickly and safely. In this client-facing role you will lead use-case ideation workshops, derive business & technical requirements and deliver PoVs and pilots that can graduate to production.
Your day-to-day will involve coding in Python, building agentic workflows, fine-tuning models, conducting evaluations, and integrating data/tools via secure APIs- You will also design and integrate MCP solutions, ensuring seamless integration, observability and versioning. Collaborating closely with Backend, DevOps, and Architects, you will deliver secure, scalable, and observable deployments across Azure, AWS, GCP and on-premise environments.
If you're ready to make a significant impact in the AI landscape, we are looking forward to hearing from you!
Qualifications
- Degree in Computer Science/Engineering or equivalent experience
- 3–6 years experience in GenAI engineering with delivery to end users
- Proficiency in Python engineering for data processing and ML: clean code, typing, tests, packaging, profiling, code quality assessment
- Expertise with AI agents: orchestration, tool-calling, prompts-as-code and safe tool execution
- Experience with fine-tuning models, dataset preparation, and evaluation using metrics and regression suites
- Strong knowledge of CI/CD pipelines (e.g., GitHub,GitLab,Azure DevOps, Docker) and cloud deployments (Azure, AWS, GCP)
- Proficiency in MCP integration: implementing servers/clients, defining schemas, and ensuring secure tool access (RBAC/ABAC)
- Familiarity with data access and integration (SQL/NoSQL/object stores, vector databases, graph databases), event/async patterns, caching, performance and cost awareness
- Excellent communication skills in English
Additional Information
Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal. If you have any questions, don't hesitate to contact me.
