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167Solutions

AI Technical Lead

United Kingdom
£80k – £130k/yr
Posted about 21 hours ago
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AI Technical Lead | Staff Software Engineer | Forward Deployed Engineering Team Lead | Principal AI Engineer

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

£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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What You'll Be Doing

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
  • Agentic AI
  • 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

Enterprise Data

Commercial experience with one or more:

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

Experience with one or more:

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

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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.

Why Join?

  • 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

Apply Now

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. 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.

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Skills

Generative AI
Large Language Models
Agentic AI
RAG
Prompt Engineering
Python
TypeScript
System Design
Software Architecture
Machine Learning
Cloud Platforms
Kubernetes
Docker
CI/CD
Data Engineering
AI Orchestration

Location

United Kingdom

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