Senior Manager, Insurance AI Engineer (Forward Deployed Engineer), Engineering, AI & Data, Technology & Transformation

London; Alabama; Hybrid; USD 140,000 - 220,000; Full time

Job summary

Deloitte's AI Forward Deployed Engineers are seeking a Lead AI FDE to guide senior delivery pods that design, develop and deploy GenAI powered solutions for strategic clients. You will set direction, remove blockers and stay hands-on, translating tech trade-offs for executive sponsors.

This role requires deep AI/ML expertise, strong leadership, and the ability to align engineering work with client outcomes across onshore/offshore teams in a globally delivered engagement.

Qualifications

• Proven leadership of AI/ML delivery teams.
• Experience delivering GenAI solutions.
• Ability to work with C-suite stakeholders.

Responsibilities

• Drive adoption of AI across the delivery lifecycle.
• Serve as client-facing senior engineering partner for product, data and platform leaders.
• Coordinate multi-pod or multi-workstream engagements with reliable architecture.
• Mentor and develop junior engineers.

Skills

GenAI

Leadership

Client engagement

ML engineering

Architectural design

Delivery coordination

Job description

We are looking for motivated, curious, team-orientated individuals to join our market-leading Insurance AI delivery team, leveraging their knowledge of the Insurance sector and AI engineering skills to drive our clients’ growth and modernisation strategies forwards, especially as the use of AI, data and technology becomes more prevalent. We have extensive experience at the forefront of transformation programmes as Insurers build industry-leading capabilities, solutions and deliver differentiated growth.

At Deloitte, AI Forward Deployed Engineers (FDE) don’t just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte?It’show we approach the thousands of decisions we make everyday. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, whereverwe arein the world, welead the way,serve with integrity, take care of each other ,fosterinclusion, andcollaborate for measurable impact. These five shared values lead every decision wemake and action we take, guiding us to deliver impact how and where it mattersmost .

Connect to your opportunity

As a Lead AI FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte’s most strategic clients. You’ll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You’ll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximise speed and scale.

Your role

As an AI FDE, you will solve our clients’ most challenging business problems by applying Generative AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions. In this role, you may be expected to:

• Drive the adoption of AI across the delivery lifecycle, helping teams use them effectively from planning and design through implementation and ongoing support.
• Serve as client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
• Navigate organisational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
• Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates
• Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.
• Mentor and develop junior FDEs
• Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms
• Set direction for prompt and context engineering, tool-use patterns, and human-in-the-loop controls
• Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.
• Review and contribute to production-quality code, ensuring suitability for development and maintenance by autonomous coding agents.