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Ai engineer - all seniorities

Nuneaton
Datatech Analytics
Ai engineer
Posted: 14 March
Offer description

AI Architect

Financial Services | London | Hybrid

At Datatech Analytics, we're delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services.

The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform how data and AI drive decision making across the business.

As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions.

The role

You will design and architect enterprise AI platforms, translating complex business challenges into scalable AI and data solutions.

Working closely with engineering teams and senior stakeholders, you'll help organisations move from experimentation with AI to production-ready AI systems embedded within core business platforms.

What you'll be doing

Defining enterprise AI architecture strategies for financial services clients.

Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems.

Architecting **end-to-end AI pipelines**, from data ingestion through to model deployment.

Leading engineering teams across AI, machine learning and data engineering.

Engaging senior stakeholders to shape AI transformation programmes and technical strategy.

Technology environment

Typical platforms and technologies include:

Cloud platforms such as **AWS, Azure or Google Cloud**
Data platforms including **Databricks, Snowflake or BigQuery**
Python and modern ML frameworks
Generative AI, LLM integration and RAG pipelines
MLOps tooling and modern ML lifecycle management.

The profile

Experience designing enterprise AI or data platforms in complex technology environments.

A background delivering large-scale transformation programmes, often within consulting or advisory environments.

Strong technical leadership combined with the ability to engage senior stakeholders across business and technology teams.

Experience working within Financial Services environments is highly valued.

If you'd like to learn more about the opportunity, feel free to reach out for a confidential conversation.APPLY NOW

Datatech Analytics

#AI #AIArchitecture #FinancialServices #DataPlatforms #MachineLearning #DatatechAnalytics

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