AI Engineering Senior Analyst/Manager

Role Title: AI Engineering Senior Analyst/Manager

Location: UK

Salary: Competitive salary and package dependent on experience

Career Level: Senior Analyst, Consultant and Manager

As a team:

Supply Chain and Engineering is a major functionally-oriented consulting practice: we help our clients to identify and quantify the transformational opportunities available in today’s dynamic business environment. Our work spans a range of value-focused operations assignments from redefining an operating model, reconfiguring national, regional or global supply chain footprint and capabilities through to global sourcing of core categories and creation of supply chain risk frameworks to ensure that potential risks are transparent and the extended supply chain is resilient.

In this role you will:

• Design and deliver AI solutions across AWS, Azure, and GCP.
• This role involves hands-on development, cloud solutioning, and direct client interaction to build scalable, production-grade AI applications.

What’s In It For You

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services, we are known for.

Closing Date for Applications

31/10/2026

Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

We are looking for experience in the following skills:

• Hands-on experience with at least one cloud (AWS/Azure/GCP)
• Strong programming skills in Python and JavaScript/TypeScript
• Experience with APIs, microservices, and full stack development
• Experience with LLM frameworks (LangChain, Langgraph, LlamaIndex) or GenAI use cases
• Understanding of RAG and vector databases
• Exposure to Databricks or data platforms
• Exposure to client-facing or stakeholder interaction
• Domain experience in supply chain or manufacturing

Set yourself apart:

• Experience working with multiple cloud platforms
• Domain experience in Pharma

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