2 months ago
Base Salary
$195k - $250k/yr
Responsibilities
- Explore data and craft AI solutions addressing core business problems.
- Manage technical projects and lead the design and development of production-quality AI/ML systems and pipelines.
- Build and deploy LLM-based agent systems in production.
- Work with Partners and Principals to shape proposals using Oliver Wyman’s AI and engineering capabilities.
- Lead development of proprietary AI/ML solutions, algorithms, analytical tools, and infrastructure.
- Design and operate AI evaluation frameworks and observability tooling to measure quality, detect failure modes, and maintain production performance.
- Advocate best practices in modeling, code hygiene, and data engineering.
- Engage directly with clients and collaborate with consultants and other technical specialists to deliver solutions.
Requirements
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or another quantitative and computational science.
- A strong track record designing and deploying large-scale technical solutions that deliver ongoing value.
- Direct experience building and deploying robust, complex production systems implementing modern AI at scale.
- Fluency in modern programming languages and the end-to-end AI development lifecycle.
- Knowledge of one or more agentic platforms, including Azure Foundry, AWS Bedrock, or Gemini Enterprise Agent Platform.
- Deep familiarity with retrieval-augmented generation, tool use, agentic memory, multi-agent orchestration, and compound AI systems.
- Experience with LLM system design, including prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost and latency optimization.
- Experience designing and operating evaluation frameworks and observability tooling for AI systems.
- Practical awareness of AI risk, bias, governance, and failure-mode mitigation in high-stakes or regulated environments.
- Applied understanding of modeling or analytical techniques and strong grounding in statistics, linear algebra, and vector calculus.
- Experience presenting at high-impact AI/ML engineering conferences and connections to the AI/ML engineering community are highly valued.
- Open-source contributions or compelling side projects are valued but not required.
- Interest or background in financial services, healthcare and life sciences, consumer, retail, energy, or transportation industries.
Benefits
- Base salary range of $195K to $250K USD plus potential performance-based incentives.
- Health and welfare benefits, tuition assistance, 401K savings and other retirement programs, and employee assistance programs.
- Hybrid work arrangement with at least three days per week in the local office or onsite with clients, plus team anchor days for office-based teams.
- Flexible and inclusive work environment with reasonable accommodation support.
Categories
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.