Senior Lead AI Engineer

IMPORTANT REQUIREMENT: Candidates must currently be working for a consulting firm or have most recently worked for a consulting firm.

THE ROLE AND RESPONSIBILITIES

No two projects are the same. You’ll work with varied and diverse teams to deliver unique and unprecedented products across industries.

As a Senior Lead AI Engineer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and pipelines that consistently drive solutions to be extensible, scalable, and production quality.

You are an expert in selected domains and can contrast methods and select appropriate approaches based on the data or modelling problem at hand. You will engage directly with clients to understand their business challenges and craft appropriate solutions through collaboration with technical specialists and consultants.

Your responsibilities will include:

• Exploring data and crafting AI solutions to answer core business problems
• Working with leadership to shape proposals that leverage AI and engineering capabilities
• Building and deploying LLM-based agent systems in production
• Keeping up with your 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, analytical tools, and infrastructure on projects and asset development

YOUR EXPERIENCE & QUALIFICATIONS

You are a well-rounded technologist who brings substantial real-world experience and:

• Currently working for a consulting firm or most recently employed by a consulting firm. Candidates whose most recent employer was not a consulting firm will not be considered.
• 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, including:
• Direct experience building and deploying robust, complex production systems that implement modern artificial intelligence at scale
• Comfort working in environments where large projects are time-boxed and consequential design decisions must be made and acted upon rapidly

AI ENGINEERING & TECHNICAL EXPERTISE

• Demonstrated fluency in modern programming languages for artificial intelligence and 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, or 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

ADDITIONAL QUALIFICATIONS

• Solid theoretical grounding in the mathematical core of AI/ML, including:
• Applied understanding of modelling or analytical techniques
• Fluency in statistics, linear algebra, vector calculus, and the mathematical principles of data science
• Compelling side projects or contributions to the open-source community are valued but not required
• Experience presenting at high-impact AI/ML engineering conferences and strong connections to the AI/ML engineering community are highly valued
• Interest or background in Financial Services, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries