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

167 Solutions Ltd
Manchester, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 120K

Job location

Manchester, United Kingdom

Tech stack

Java
JavaScript
.NET
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
C Sharp (Programming Language)
Cloud Computing
Continuous Integration
Information Engineering
ETL
Github
Graph Database
Python
Knowledge Management
Node.js
NoSQL
Product Management
Standard Sql
Search Technologies
Software Engineering
Data Streaming
TypeScript
Enterprise Search
Enterprise Data Management
Core Voice Platform
Google Cloud Platform
Enterprise Software Applications
Chatbots
PyTorch
React
Large Language Models
Multi-Agent Systems
Prompt Engineering
Generative AI
Event Driven Architecture
AI Platforms
Kubernetes
HuggingFace
Data Management
Virtual Agents
Terraform
Docker
Microservices

Job 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

Requirements

  • 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

Benefits & conditions

£80,000 - £130,000 + Bonus + Comprehensive Benefits Build the Future of Enterprise AI

167 Solutions is partnering with a rapidly growing global technology organisation that is investing heavily in its UK AI Engineering capability.

With an established international engineering team of over 50 software and AI engineers, this is an opportunity to help shape the next generation of enterprise AI platforms, intelligent software and agentic systems being deployed into some of the world's most recognised organisations.

We're looking for an engineering leader who combines exceptional software engineering fundamentals with hands-on experience delivering enterprise-scale Generative AI solutions into production.

Whether your background is software engineering, machine learning, platform engineering or forward deployed engineering, we're interested in hearing from you.

Alternative Job Titles

We recognise great people often have different job titles.

You may currently be working as:

  • AI Technical Lead
  • Staff Software Engineer
  • Staff AI Engineer
  • Staff Machine Learning Engineer
  • Senior Staff Engineer
  • Principal Software Engineer
  • Principal AI Engineer
  • Principal Machine Learning Engineer
  • Lead AI Engineer
  • Lead Software Engineer
  • Engineering Manager
  • AI Engineering Manager
  • Machine Learning Engineering Manager
  • AI Solutions Architect
  • Enterprise AI Architect
  • AI Platform Lead
  • AI Practice Lead
  • Applied AI Lead
  • GenAI Engineering Lead
  • AI Delivery Lead
  • Technical Lead
  • Technical Director
  • Head of AI Engineering
  • Head of Software Engineering
  • Lead Full Stack Engineer
  • Forward Deployed Engineer
  • Forward Deployment Engineering Team Lead
  • AI Consultant
  • Enterprise Architect
  • Solution Architect
  • Innovation Lead, * Join an established global technology organisation
  • Work alongside an international team of 50+ engineers
  • Significant investment into AI and Engineering
  • Greenfield AI programmes
  • Opportunity to influence technical strategy
  • Work with modern enterprise AI technologies
  • Hybrid working (2 days onsite)
  • Clear career progression
  • Competitive salary
  • Annual bonus
  • Excellent benefits
  • Flexible working culture

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