LP
Mainframe Resource
LinkedIn Recruiter Post
Urgent hiring for Mainframe professionals in Canada. Requires COBOL, JCL, DB2, VSAM, IMS skills with mid - senior experience.
About the role
- Senior Lead AI Developer building production AI/ML systems and LLM agents for Oliver Wyman’s management consulting clients. Leading technical projects and AI solution development across industries.
Responsibilities
- Manage technical projects
- Design and build extensible, production-quality AI/ML systems and pipelines
- Explore data and craft AI solutions addressing core business problems
- Work with Partners and Principals to shape proposals leveraging AI and engineering capabilities
- Build and deploy LLM-based agent systems in production
- Keep up with state-of-the-art developments and emerging modelling and data engineering methodologies
- Advocate best practices in modelling, code hygiene, and data engineering
- Lead development of proprietary AI/ML solutions, algorithms, analytical tools, and infrastructure
- Collaborate with Oliver Wyman partners, Quotient and other practice groups, specialists, and consultants
- Engage directly with clients to understand business challenges and develop appropriate solutions
Requirements
- Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or another quantitative and computational science
- Track record designing and deploying large-scale technical solutions delivering tangible, ongoing value
- Direct experience building and deploying robust, complex production systems implementing modern artificial intelligence at scale
- Comfort making consequential design decisions rapidly in time-boxed, large-project environments
- Fluency in modern programming languages for artificial intelligence and agents across 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 compound AI systems, retrieval-augmented generation, tool use, agentic memory, and multi-agent orchestration
- Experience designing and operating evaluation frameworks and observability tooling for AI quality, failure-mode detection, and production performance
- Proficiency in LLM system design, prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost/latency optimization
- Practical awareness of AI risk, bias, and governance in high-stakes or regulated environments
- Solid theoretical grounding in the mathematical foundations of AI/ML
- Applied understanding of a class of modelling or analytical techniques
- Fluency in statistics, linear algebra, and vector calculus
- Interest or background in Financial Services, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries
- Experience presenting at high-impact AI/ML developer conferences and connections to the AI/ML developer community are highly valued
- Open-source contributions or compelling side projects are valued but not required
Benefits
- Performance-based incentives may be available in addition to base salary
- Hybrid work with flexibility to work remotely
- Collaboration, connections, and professional development benefits from working together in the office
- Diverse, inclusive, and flexible work environment
- Reasonable accommodation for disabilities and medical needs
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