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About Oliver Wyman
Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.
For more information, visit oliverwyman.com , or follow us on LinkedIn and X .
This is a hybrid role that has a requirement of working at least three days a week in the office.
We are looking for an experienced LLM / GenAI Engineer to design, develop, and deploy enterprise Generative AI solutions using Databricks Genie, large language models (LLMs), and modern AI frameworks. You will be joining us in building Oliver Wyman’s new hub in Lisbon.
This role focuses on training and optimizing AI models, building scalable LLM architectures and orchestration frameworks, and enabling intelligent AI-powered workflows using structured and unstructured data. The ideal candidate has strong experience in Python, APIs, MCP integrations, prompt engineering, RAG architectures, and production-ready AI deployment.
We will count on you to :
- Develop and optimize enterprise GenAI and LLM solutions using Databricks Genie
- Build scalable frameworks and architectures for LLM applications
- Design and implement RAG (Retrieval-Augmented Generation) pipelines and semantic search solutions
- Develop APIs and AI services to expose LLM capabilities across enterprise applications
- Design and support MCP (Model Context Protocol) integrations to enable AI agents and intelligent workflows
- Integrate structured and unstructured data into AI solutions
- Fine-tune, evaluate, and monitor LLM models for enterprise use cases
- Develop prompt engineering strategies and AI orchestration workflows
- Collaborate with data engineers, platform teams, and business stakeholders to operationalize AI capabilities
- Implement AI governance, observability, security, and monitoring best practices
- Support deployment and scaling of AI applications in cloud environments
- Research and evaluate emerging GenAI technologies and frameworks
What makes you stand out?
- 3+ years of experience in AI Engineering, Machine Learning Engineering, Software Engineering, or related roles
- Strong hands-on experience with Python and enterprise AI application development
- Experience working with Databricks Genie, LLM frameworks (LangChain, LlamaIndex, etc.), and Generative AI technologies
- Experience designing and implementing RAG (Retrieval-Augmented Generation) architectures
- Experience with prompt engineering, embeddings, vector databases, and semantic search solutions
- Experience building APIs, AI microservices, and enterprise AI integrations
- Familiarity with MCP frameworks and AI agent communication architectures
- Experience deploying and monitoring scalable AI/LLM solutions in cloud environments
- Experience with AI governance, observability, model evaluation, and security best practices
- Familiarity with MLflow, MLOps, and modern AI deployment practices
- Experience integrating structured and unstructured data into AI workflows
Skills and Attributes:
- Strong critical thinking and problem-solving skills with passion for AI innovation
- Deep curiosity about Generative AI, LLMs, intelligent agents, and emerging technologies
- Strong ability to rapidly prototype and develop scalable AI solutions
- Self-motivated with ability to work independently while collaborating across cross-functional teams
- Strong communication skills with ability to explain AI concepts and solutions to technical and business audiences
- Ability to translate business problems into practical and scalable AI-driven solutions
- Strong innovation mindset with focus on continuous learning and experimentation
- Ability to evaluate and optimize AI model performance, reliability, and scalability
- Strong attention to detail with focus on AI governance, security, and responsible AI practices
- Ability to work effectively in fast-paced and rapidly evolving AI environments
- Strong collaboration and stakeholder management skills with ability to drive AI adoption across the organization
- Passion for building modern AI platforms, frameworks, and intelligent automation solutions
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
As of November 7, 2024, the Business Group Global Boilerplate Language, Country Specific Regulatory Language (Ex. US EEO Statement) OR Global Diversity Statement, and Global Hybrid Work Policy Statement have been automated except for:
Marsh McLennan Agency
Mercer Marsh Benefits
Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.