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

AI Technical Lead | Staff Software Engineer | Forward Deployed Engineering Team Lead | Principal AI Engineer\n

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Bristol | London | Manchester | Cambridge (Hybrid - 2 Days Per Week Onsite)

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£80,000 - £130,000 + Bonus + Comprehensive Benefits

Build the Future of Enterprise AI\n

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

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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.

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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.

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

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Alternative Job Titles\n

We recognise great people often have different job titles.

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You may currently be working as:

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• AI Technical Lead
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• Staff Software Engineer
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• Staff AI Engineer
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• Staff Machine Learning Engineer
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• Senior Staff Engineer
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• Principal Software Engineer
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• Principal AI Engineer
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• Principal Machine Learning Engineer
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• Lead AI Engineer
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• Lead Software Engineer
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• Engineering Manager
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• AI Engineering Manager
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• Machine Learning Engineering Manager
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• AI Solutions Architect
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• Enterprise AI Architect
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• AI Platform Lead
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• AI Practice Lead
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• Applied AI Lead
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• GenAI Engineering Lead
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• AI Delivery Lead
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• Technical Lead
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• Technical Director
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• Head of AI Engineering
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• Head of Software Engineering
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• Lead Full Stack Engineer
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• Forward Deployed Engineer
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• Forward Deployment Engineering Team Lead
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• AI Consultant
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• Enterprise Architect
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• Solution Architect
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• Innovation Lead
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What You'll Be Doing\n

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

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Projects include:

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• Enterprise AI Platforms
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• Agentic AI
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• AI Agents
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• Multi-Agent Systems
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• Voice AI
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• Conversational AI
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• AI Assistants
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• Document Intelligence
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• Intelligent Search
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• Knowledge Management
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• Enterprise Data Platforms
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• Workflow Automation
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• AI Product Development
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• Enterprise Software Modernisation
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You'll work closely with engineering, architecture, product and executive leadership, translating complex business challenges into scalable technical solutions.

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

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Technology Environment\n

This organisation is technology agnostic.

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

Enterprise AI\n

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• Generative AI
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• GenAI
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• LLMs
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• Large Language Models
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• Foundation Models
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• Agentic AI
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• AI Agents
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• Autonomous Agents
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• Multi-Agent Systems
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• RAG
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• Retrieval Augmented Generation
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• Prompt Engineering
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• AI Evaluation
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• AI Observability
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• AI Governance
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• Responsible AI
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• AI Security
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• Guardrails
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• Model Context Protocol (MCP)
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• Function Calling
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• Tool Use
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• AI Orchestration
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AI Platforms\n

Experience with one or more:

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• OpenAI
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• Azure OpenAI
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• Anthropic Claude
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• Google Gemini
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• AWS Bedrock
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• Hugging Face
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• LangChain
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• LangGraph
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• Semantic Kernel
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• AutoGen
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• CrewAI
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• LlamaIndex
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• Pinecone
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• Weaviate
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• Milvus
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• ChromaDB
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Cloud Platforms\n

Commercial experience with one or more:

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• AWS
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• Microsoft Azure
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• Google Cloud Platform (GCP)
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Enterprise Data\n

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• Data Engineering
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• Data Platforms
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• ETL
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• Vector Databases
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• Enterprise Search
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• Semantic Search
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• Knowledge Graphs
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• OCR
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• Document Processing
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• SQL
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• NoSQL
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• Streaming Data
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Software Engineering\n

Strong experience across several of:

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• Python
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• TypeScript
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• Java
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• C#
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• Go
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• JavaScript
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• React
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• Node.js
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• .NET
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• APIs
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• Microservices
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• Event Driven Architecture
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• Kubernetes
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• Docker
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• CI/CD
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• Infrastructure as Code
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• GitHub Actions
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• Terraform
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What We're Looking For\n

You'll bring:

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• Experience building enterprise AI solutions in production
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• Excellent software engineering fundamentals
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• Strong system design and architecture experience
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• Experience leading engineering teams or technical programmes
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• Ability to communicate effectively with business stakeholders, executives and engineering teams
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• Experience delivering AI products within regulated or enterprise environments
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• Commercial awareness and customer-facing experience
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• Passion for coaching and mentoring engineers
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We're looking for someone who can bridge business strategy with modern AI engineering.

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Why Join?\n

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• Join an established global technology organisation
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• Work alongside an international team of 50+ engineers
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• Significant investment into AI and Engineering
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• Greenfield AI programmes
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• Opportunity to influence technical strategy
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• Work with modern enterprise AI technologies
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• Hybrid working (2 days onsite)
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• Clear career progression
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• Competitive salary
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• Annual bonus
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• Excellent benefits
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• Flexible working culture
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Apply Now\n

If you're excited by building enterprise-scale AI platforms that combine cutting-edge technology with real-world business impact, we'd love to hear from you.

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167 Solutions Ltd is acting as the recruitment partner on behalf of our client. We welcome applications from candidates with diverse technology backgrounds who have a passion for engineering excellence and enterprise AI.