3 days ago
Base Salary
$195k - $250k/yr
Responsibilities
- Explore data and develop AI solutions addressing core business problems.
- Manage technical projects and lead the design and development of extensible, production-quality AI/ML systems and pipelines.
- Work with Partners and Principals to shape proposals using Oliver Wyman’s AI and engineering capabilities.
- Build and deploy LLM-based agent systems in production.
- Develop proprietary AI/ML solutions, algorithms, analytical tools, and infrastructure.
- Advocate best practices in modeling, code hygiene, and data engineering.
- Engage directly with clients and collaborate with consultants and technical specialists to deliver solutions.
Requirements
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or another quantitative and computational discipline.
- 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.
- Experience making consequential design decisions rapidly in time-boxed large-project environments.
- Knowledge of one or more agentic platforms, including Azure Foundry, AWS Bedrock, or Gemini Enterprise Agent Platform.
- Deep familiarity with compound AI systems, including retrieval-augmented generation, tool use, agentic memory, and multi-agent orchestration.
- Experience designing and operating evaluation frameworks and observability tooling for AI system quality, failure detection, and production performance.
- Proficiency in LLM system design, prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost and latency optimization.
- 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 mathematical foundations including statistics, linear algebra, and vector calculus.
- Experience presenting at 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 is desirable.
Benefits
- Base salary range is $195K to $250K USD, with potential performance-based incentives.
- Benefits include health and welfare coverage, tuition assistance, 401K savings, retirement programs, and employee assistance programs.
- Hybrid work arrangement requires colleagues to work in their local office or onsite with clients at least three days per week, with office-based teams identifying at least one weekly anchor day.
- Flexible and inclusive work environment with accommodations available upon request.
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.