Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Senior Manager, Insurance AI Engineer (Forward Deployed Engineer) role.

Rezi rewrites your resume against Deloitte's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Senior Manager, Insurance AI Engineer (Forward Deployed Engineer) posting at Deloitte — free, in seconds.

About the Role

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. You’ll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart.

Responsibilities

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.
Guide architecture of data pipelines powering GenAI use cases.
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices.
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud).

Requirements

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.
Extensive experience in software engineering, data engineering, data science, or analytics engineering.
Proven hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments.
Proven experience with one of the following Frontier GenAI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK.
Proven experience leading project workstreams/engagements and translating business problems into AI solutions within the Insurance sector.
Proven experience building reliable, maintainable, and well-documented code.
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments.
Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation.
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
Experience operating within hybrid onshore/offshore teams.
Familiarity with security, privacy, and compliance considerations.

Skills

AI engineering
GenAI
LLM
Generative AI
ML techniques
Cloud environments (AWS, Azure, and/or Google Cloud)
Spark
Airflow/dbt
Streaming
Data modeling
ML/data science
Feature engineering
Experimentation
Model evaluation
MLOps/LLMOps
Prompt management
APIs
Microservices
Event-driven architectures

Location

London

Work Type

Hybrid working
Permanent
FTC

Experience Level

Senior practitioner-leader
Extensive experience in software engineering, data engineering, data science, or analytics engineering
Proven hands-on experience building and deploying GenAI/LLM-powered solutions
Proven experience leading project workstreams/engagements
Proven experience building reliable, maintainable, and well-documented code

Education Level

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.

About the Company

Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete.
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.
Our values: lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact.
Distinctive thinking, deep expertise, innovation and collaborative working.
We lead transformation at the heart of our clients; re-engineering the core of our clients’ organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees.

Equal Opportunity

We want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution.
You can be your best that you can make the kind of impact you, and we, live for.
Your expertise is our capability, so we’ll make sure it never stops growing.
Through world-class development, you’ll gain invaluable technical and personal skills.
Whatever your level, you’ll learn how to lead.