GenAI System Architect — Lead AI Pipelines & Strategy

Deloitte (UK)

Alabama

Hybrid

USD 159,000 - 238,000

Full time

8 days ago
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Job summary

Deloitte in London seeks a Lead GenAI System Architect to drive the design, deployment, and operation of advanced generative AI solutions for diverse clients. You will lead cross‑functional teams, engage with senior stakeholders, and translate complex AI concepts into business value.

The role emphasizes scalable pipelines, model governance, and staying ahead of AI research while operating within a hybrid work model from London.

Qualifications

  • PhD or equivalent in Computer Science, ML, AI, or related discipline.
  • Extensive experience designing, deploying enterprise‑grade AI/ML solutions with leadership.
  • Deep domain expertise applying AI/Generative AI in regulated/data-rich industries.
  • Proven thought leadership in AI/ML (patents/publications/open‑source).
  • CAoE certifications (AWS/Google/Azure/IBM ML) desirable.

Responsibilities

  • Lead end-to-end AI/ML solution design, development, and deployment at scale.
  • Engage with senior client stakeholders to define transformative AI strategies.
  • Oversee development/operationalisation of large language models and generative systems.
  • Mentor cross-functional AI teams and promote reusable best practices.
  • Stay ahead of AI research and integrate new technologies into client projects.

Skills

Python proficiency
LLMs & Generative AI
MLOps & CI/CD for ML
Cloud platforms (AWS/Azure/GCP)
Stakeholder management
Data processing & storage (SQL/Spark/H
Security & governance

Education

PhD in CS/ML/AI or related
Industry certifications (AWS/Google/Azure/IBM ML)

Tools

LangChain
LangGraph
PyTorch
TensorFlow

Job description

Deloitte in London seeks a Lead GenAI System Architect to drive the design, deployment, and operation of advanced generative AI solutions for diverse clients. You will lead cross‑functional teams, engage with senior stakeholders, and translate complex AI concepts into business value.

The role emphasizes scalable pipelines, model governance, and staying ahead of AI research while operating within a hybrid work model from London.

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