At a Glance
- Tasks: Lead a cross-functional team to innovate AI solutions and enhance telephony platforms.
- Company: Join a forward-thinking company focused on responsible AI and inclusivity.
- Benefits: Generous pension, annual bonus, share schemes, 30 days holiday, and wellbeing initiatives.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Shape the future of AI while fostering an inclusive and high-performance culture.
- Qualifications: Proficiency in Java, Python, TypeScript, and experience in leading multi-team projects.
The predicted salary is between 92701 - 109060 £ per year.
Salary Range: £92,701 - £109,060
We support flexible working – click here for more information on flexible working options.
Flexible Working Options: Hybrid Working, Job Share
Location: Manchester
Hours: Full-time – 35 hours
Working Pattern: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Manchester office.
About this opportunity:
Exciting opportunity for a hands-on Responsible AI Lead to join our Voice, Workforce Intelligence Lab. You’ll lead a cross-functional team to build and evolve our telephony and digital platforms. This is a technical team lead role combining technical depth with people leadership. As a senior leader in the lab, you will provide technical leadership in shaping and delivering next-generation capabilities—integrating advanced software engineering practices with Language Models and Generative AI within a cloud-native architecture. Your expertise will drive innovation, set engineering standards, and influence the strategic direction of cutting-edge solutions. Developing the upcoming era of autonomous AI for colleagues and customers is our focus—ensuring safety, security, and scalability.
As a Responsible AI Lead, you’ll set technical direction and lead multiple teams to design, build and run AI Agents on Google Cloud, blending open-source tools with GCP native services. You’ll stay hands-on when needed and help grow engineering capability—all while delivering outcomes at pace in a regulated environment.
What you’ll do:
- Define strategy and technical direction for agentic AI services (patterns, standards, runtime quality), working closely with Engineering peers, Product & Architecture teams.
- Lead, develop and coach multiple teams, fostering a high-performance and inclusive engineering culture.
- Design and deliver AI Agents using services such as Vertex AI (including Agent Builder), Cloud Run/GKE, Pub/Sub, CloudSQL, BigQuery, Cloud Storage, Secret Manager and IAM, integrating securely with enterprise systems.
- Achieve efficiently with quality: CI/CD, automated testing (unit, contract, end-to-end), performance testing, SRE practices, and actionable observability (logs, metrics, traces).
- Engineer for safety, security and cost-effectiveness by implementing guardrails, supervising model/agent evaluations, secrets management, IAM scoping and FinOps.
- Lead the full lifecycle (design, build, run, iterate), ensuring resilience, scalability and operability.
- Influence and lead others in the platform by providing reusable components, patterns, and templates; leading vendor interactions; streamlining the tech infrastructure; and communicating effectively with senior collaborators.
What you’ll need:
- Proficiency in Java, Python and TypeScript, with experience delivering production services (APIs, event-driven systems, microservices), ideally on GCP.
- Proven technical leadership of large, multi-team deliveries—setting strategy, making sound architectural decisions and enabling teams to deliver at pace.
- Hands-on experience with agentic AI: building LLM-powered applications/agents, tool use, orchestration, retrieval (RAG), prompt and safety engineering, evaluation and telemetry.
- Proficient knowledge of cloud-native engineering: containers (GKE/Cloud Run), Terraform/IaC, continuous integration/continuous deployment, automated quality assurance, observability, optimising performance, and managing incidents.
- Solid knowledge of security, privacy and compliance in regulated environments; confident working with Risk, Security and Legal teams.
- Excellent communication and stakeholder engagement skills, with the ability to simplify complex concepts into clear, outcome-focused narratives.
It would be great if you had any of the following:
- Experience with Vertex AI Agent Builder/Agentspace, LangGraph, multi-agent patterns or agent-to-agent protocols.
- Knowledge of data governance and model risk practices in financial services.
- Exposure to Azure/AWS or cross-cloud patterns.
- Experience building communities of practice and engineering guilds.
About working for us:
Our focus is to ensure we’re inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
Benefits:
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Responsible AI Lead in Manchester employer: Dormont Manufacturing Co
Join a forward-thinking organisation in Manchester as a Responsible AI Lead, where innovation meets inclusivity. With a strong focus on employee growth, we offer flexible working options, a generous pension contribution, and a supportive culture that celebrates diversity. Our commitment to developing cutting-edge AI solutions ensures that you will be at the forefront of technology while enjoying a healthy work-life balance and numerous wellbeing initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Responsible AI Lead in Manchester
✨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 Dormont Manufacturing Co 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 Dormont Manufacturing Co.
✨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 Dormont Manufacturing Co.
✨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 Dormont Manufacturing Co 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 Responsible AI Lead in Manchester
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 Dormont Manufacturing Co.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Dormont Manufacturing Co 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 Dormont Manufacturing Co
✨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 Dormont Manufacturing Co 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.
