At a Glance
- Tasks: Lead the design and delivery of innovative enterprise AI products that tackle real business challenges.
- Company: Join a rapidly growing global tech organisation with a focus on AI engineering.
- Benefits: Enjoy a competitive salary, annual bonus, and comprehensive benefits in a flexible working culture.
- Other info: Hybrid working model with clear career progression and opportunities for mentorship.
- Why this job: Shape the future of enterprise AI and influence technical strategy in a dynamic environment.
- Qualifications: Experience in building enterprise AI solutions and strong software engineering fundamentals required.
The predicted salary is between 80000 - 100000 £ per year.
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
- Gen AI 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
- 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
- Gen AI
- 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
- Open AI
- Azure Open AI
- Anthropic Claude
- Google Gemini
- AWS Bedrock
- Hugging Face
- Lang Chain
- Lang Graph
- Semantic Kernel
- Auto Gen
- Crew AI
- Llama Index
- Pinecone
- Weaviate
- Milvus
- Chroma DB
- 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
- No SQL
- Streaming Data
- Software Engineering
Strong experience across several of
- Python
- Type Script
- Java
- C#
- Go
- Java Script
- React
- Node. js
- . NET
- APIs
- Microservices
- Event Driven Architecture
- Kubernetes
- Docker
- CI/CD
- Infrastructure as Code
- Git Hub 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
- #J-18808-Ljbffr
AI Technical Lead | Staff Software Engineer | Principal AI Engineer | GenAI | in Bristol employer: 167 Solutions
Join a leading consultancy that champions innovation and digital transformation, offering a dynamic work culture where collaboration and creativity thrive. With competitive salaries and a commitment to employee growth, you will have access to continuous learning opportunities and the chance to work on impactful projects with enterprise clients across the UK and Europe. Experience the unique advantage of being part of a forward-thinking team dedicated to shaping the future of technology in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Technical Lead | Staff Software Engineer | Principal AI Engineer | GenAI | in Bristol
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at 167 Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to 167 Solutions.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like 167 Solutions.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like 167 Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Technical Lead | Staff Software Engineer | Principal AI Engineer | GenAI | in Bristol
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at 167 Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at 167 Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at 167 Solutions
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If 167 Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
