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Senior Consultant - AI Tech Transformation - TC - FS
Job in
Manchester, Greater Manchester, M9, England, UK
Listed on 2026-09-21
Listing for:
EY
Full Time
position Listed on 2026-09-21
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
Senior Consultant - AI Tech Transformation - TC - FS The opportunityWe are seeking a Senior Consultant specializing in generative AI to help design and build GenAI solutions for our clients. This is a hands-on, delivery-focused role: you will build key solution components, support the overall architecture, and work directly with client teams to move solutions into production. It is an excellent role for a strong engineer growing into architecture and client-facing leadership.
YourKey Responsibilities
- Build and deliver GenAI solution components: RAG pipelines, prompt orchestration, tool-calling integrations, and APIs.
- Support the solution architecture and contribute to design decisions within your components.
- Ensure your components are reliable, secure, performant, and cost-aware.
- Contribute to delivery execution: implementation, testing, debugging, and resolution of technical issues.
- Apply engineering standards, reusable frameworks, and accelerators in your work.
- Take ownership of the quality and timeliness of your deliverables.
- Implement generative AI solutions using LLMs, RAG pipelines, prompt orchestration, and agentic workflows.
- Build components for insurance use cases (claims intake automation, submission triage, document intelligence, underwriting copilots, policy Q&A, contact-center copilots).
- Implement and tune RAG: chunking, embeddings, vector stores, retrieval tuning, and grounding to reduce hallucination.
- Develop multi-agent and tool-calling workflows for insurance processes.
- Apply LLMOps and quality practices: prompt engineering, evaluation, guardrails, monitoring, and cost/latency optimization.
- Apply responsible AI practices: hallucination controls, PII handling, and compliance-aware handling of sensitive data.
- Support integration with core insurance platforms (Guidewire, Duck Creek, Sapiens) and enterprise data/content systems.
- Work directly with client teams to deliver solutions and resolve technical questions.
- Explain technical decisions, tradeoffs, and progress clearly to project team members and stakeholders.
- Prepare and support demos and technical walkthroughs.
- Collaborate across engineering, data, and business stakeholders during delivery.
- Support and guide junior consultants where needed.
- Strong hands-on engineering skills and eagerness to grow into architecture.
- A delivery mindset with attention to quality and detail.
- Clear communication and a collaborative, client-facing attitude.
- Curiosity and a fast learning pace in a rapidly evolving field.
- Bachelor's or Master's in Computer Science, Engineering, or a related field.
- Experience in technology delivering software or data solutions, including hands-on work on at least two GenAI or AI/ML projects (with ~1 year of GenAI experience).
- Hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks (Lang Chain, Llama Index, Semantic Kernel, or equivalent).
- Practical experience with RAG, embeddings, and vector databases (Pinecone, Weaviate, pgvector, Azure AI Search).
- Familiarity with agentic architectures, function/tool calling, and structured outputs.
- Prompt engineering and evaluation experience, with awareness of guardrails and safety.
- Experience with at least one cloud GenAI platform (Azure OpenAI, AWS Bedrock, Google Vertex AI).
- Solid programming skills and understanding of API design and integration patterns.
- Awareness of responsible AI and…
Position Requirements
10+ Years
work experience
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