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About the Role
At Oliver Wyman Quotient, we partner with clients to deliver breakthrough outcomes for their toughest AI challenges by blending AI technology with deep industry expertise. As a Senior Lead AI Engineer, you will manage technical projects and help teams design and build extensible, production-quality AI/ML systems and pipelines.
Responsibilities
- Managing technical projects and helping teams design and build AI/ML systems and pipelines.
- Exploring data and crafting AI solutions to answer core business problems.
- Working with Partners and Principals to shape proposals that leverage AI and engineering capabilities.
- Building and deploying LLM-based agent systems in production.
- Keeping up with the domain’s state of the art and developing familiarity with emerging modelling and data engineering methodologies.
- Advocating application of best practices in modelling, code hygiene and data engineering.
- Leading the development of proprietary AI/ML solutions, algorithms, or analytical tools and infrastructure on projects and asset development.
Requirements
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science.
- Compelling track record of designing and deploying large-scale technical solutions that deliver tangible, ongoing value.
- Direct experience having built and deployed robust, complex production systems that implement modern artificial intelligence at scale.
- Comfort in environments where large projects are time-boxed, and consequential design decisions may need to be made and acted upon rapidly.
- Demonstrated fluency in modern programming languages for artificial intelligence / agents, covering the end-to-end AI development lifecycle.
- Knowledge of one or more agentic platforms, including but not limited to: Azure Foundry, AWS Bedrock, Gemini Enterprise Agent Platform.
- Deep familiarity with the architecture, performance characteristics, and limitations of compound AI systems, including retrieval-augmented generation, tool use, agentic memory, and multi-agent orchestration.
- Experience designing and operating evaluation frameworks and observability tooling to measure AI system quality, detect failure modes, and maintain performance in production.
- Proficiency in LLM system design, including prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost/latency optimization.
- Practical awareness of AI risk, bias, and governance, including how to identify and mitigate failure modes in high-stakes or regulated environments.
- Solid theoretical grounding in the mathematical core of the major ideas in AI/ML.
- Applied understanding of a class of modelling or analytical techniques.
- Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus.
- Interest/background in Financial Services, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries.
Skills
- AI/ML systems and pipelines
- AI solutions
- LLM-based agent systems
- Modelling methodologies
- Data engineering methodologies
- Modern programming languages for artificial intelligence / agents
- Agentic platforms
- Compound AI systems
- Retrieval-augmented generation
- Tool use
- Agentic memory
- Multi-agent orchestration
- Evaluation frameworks
- Observability tooling
- LLM system design
- Prompt engineering
- Context and token management
- Structured output
- Fine-tuning tradeoffs
- Cost/latency optimization
- AI risk, bias, and governance
- Statistics
- Linear Algebra
- Vector Calculus
Location
- New York
- Boston
- Chicago
- DC
Work Type
- Hybrid
Experience Level
- Senior Lead
Education Level
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science
Salary/Compensations
- $195K to $250K USD
Benefits
- Health and welfare benefits
- Tuition assistance
- 401K savings and other retirement programs
- Employee assistance programs
About the Company
- Oliver Wyman is a global leader in management consulting.
- Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation.
- The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities.
- Oliver Wyman is a business of Marsh McLennan [NYSE: MMC].
- Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman.
- With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective.
- 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.
Equal Opportunity
- Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.
- Marsh is committed to embracing 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, veteran status (including protected veterans), or any other characteristic protected by applicable law.
- If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.
- Marsh McLennan 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 McLennan 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.
- 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.