Lead AI Engineer - Architect Scalable ML & LangChain

Tata Consultancy Services; Manchester; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Pension

Health care

Life assurance

Laptop

Phone

Training resources

Discounts within Tata network

Health & wellness initiatives

London Marathon sponsor

Job summary

Tata Consultancy Services in Manchester is seeking a Lead AI Engineer to design, build and optimise scalable AI workflows and intelligent systems that enhance enterprise processes and customer experiences. You will lead solution development and ensure best-practice implementation across model design, performance optimisation and integration.

You will work with cross-functional teams, apply prompt-engineering techniques, and stay current with AI/ML trends.

Qualifications

• Hands-on AI/ML framework experience required.
• Experience building scalable AI workflows.
• Proficiency in Python; cloud platforms familiarity.

Responsibilities

• Design and implement AI workflows and high-performing ML models.
• Build solutions using LangChain for agent-based and RAG-driven architectures.
• Optimise and scale AI/ML models for reliability and efficiency.
• Apply prompt-engineering techniques to improve LLM outputs.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Communicate insights and recommendations to stakeholders.
• Stay current with AI/ML trends, tooling and best practices.

Skills

TensorFlow

PyTorch

scikit-learn

Python

R

Java

Data structures

Algorithms

Statistical modelling

Analytical skills

Communication

Collaboration

LangChain

RAG systems

Cloud platforms

Google Cloud

Azure

Prompt engineering

Responsible AI

Tools

Vertex AI

Gemini

Azure OpenAI

Cloud Vision

Job description

Tata Consultancy Services in Manchester is seeking a Lead AI Engineer to design, build and optimise scalable AI workflows and intelligent systems that enhance enterprise processes and customer experiences. You will lead solution development and ensure best-practice implementation across model design, performance optimisation and integration.

You will work with cross-functional teams, apply prompt-engineering techniques, and stay current with AI/ML trends.