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# AI Technical Lead | Staff Software Engineer | Principal AI Engineer | GenAI | £80k-£130k

- **Company:** 167 Solutions Ltd
- **Location:** Manchester, UK
- **Experience:** Expert
- **Salary:** £80,000.0 - £120,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Github, Graph Database, Python (Programming Language), Knowledge Management, Node.Js, NoSQL, Software Product Management, Standard Sql, Search Technologies, Software Engineering, Data Streaming, TypeScript, Enterprise Search, Enterprise Data Management, Core Voice Platform, Google Cloud, Enterprise Software Applications, Chatbots, Pytorch, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Event Driven Architecture, AI Platforms, Kubernetes, HuggingFace, Data Management, Virtual Agents, Terraform, Docker, Microservices
- **Published:** July 27, 2026
- **Apply:** https://www.reed.co.uk/jobs/ai-technical-lead--staff-software-engineer--principal-ai-engineer--genai--80k-130k/57163984

## About the Role

* AI Agents
 * Autonomous Agents
 * Multi-Agent Systems
 * RAG
 * Retrieval Augmented Generation
 * Prompt Engineering
 * AI Evaluation
 * AI Observability
 * AI Governance
 * Responsible AI
 * AI Security
 * Guardrails
 * Model Context Protocol (MCP)
 * Function Calling
 * Tool Use
 * AI Orchestration

AI Platforms

Experience with one or more:

 * OpenAI
 * Azure OpenAI
 * Anthropic Claude
 * Google Gemini
 * AWS Bedrock
 * Hugging Face
 * LangChain
 * LangGraph
 * Semantic Kernel
 * AutoGen
 * CrewAI
 * LlamaIndex
 * Pinecone
 * Weaviate
 * Milvus
 * ChromaDB

Cloud Platforms

Commercial experience with one or more:

 * AWS
 * Microsoft Azure
 * Google Cloud Platform (GCP)

Enterprise Data

 * Data Engineering
 * Data Platforms
 * ETL
 * Vector Databases
 * Enterprise Search
 * Semantic Search
 * Knowledge Graphs
 * OCR
 * Document Processing
 * SQL
 * NoSQL
 * Streaming Data

Software Engineering

Strong experience across several of:

 * Python
 * TypeScript
 * Java
 * C#
 * Go
 * JavaScript
 * React
 * Node.js
 * .NET
 * APIs
 * Microservices
 * Event Driven Architecture
 * Kubernetes
 * Docker
 * CI/CD
 * Infrastructure as Code
 * GitHub Actions
 * Terraform

What We're Looking For

You'll bring:

 * Experience building enterprise AI solutions in production
 * Excellent software engineering fundamentals
 * Strong system design and architecture experience
 * Experience leading engineering teams or technical programmes
 * Ability to communicate effectively with business stakeholders, executives and engineering teams
 * Experience delivering AI products within regulated or enterprise environments
 * Commercial awareness and customer-facing experience
 * Passion for coaching and mentoring engineers

We're looking for someone who can bridge business strategy with modern AI engineering., * Architect

 * AI
 * LLM
 * go
 * Pytorch
 * Pythin
 * Genai
 * Python

## Description

You'll lead the design and delivery of enterprise AI products that solve genuine business problems rather than proof-of-concepts.

Projects include:

 * Enterprise AI Platforms
 * Agentic AI
 * AI Agents
 * Multi-Agent Systems
 * Voice AI
 * Conversational AI
 * AI Assistants
 * Document Intelligence
 * Intelligent Search
 * Knowledge Management
 * Enterprise Data Platforms
 * Workflow Automation
 * AI Product Development
 * Enterprise Software Modernisation

You'll work closely with engineering, architecture, product and executive leadership, translating complex business challenges into scalable technical solutions.

You'll mentor engineers, influence technical direction and help establish engineering best practice across the organisation.

Technology Environment

This organisation is technology agnostic.

You'll likely have experience across several of the following technologies.
Enterprise AI

 * Generative AI
 * GenAI
 * LLMs
 * Large Language Models
 * Foundation Models


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