5 days 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.
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