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- Tasks: Lead the design and delivery of innovative Gen-AI solutions across EMEA.
- Company: Join a forward-thinking tech company committed to inclusive hiring.
- Benefits: Competitive salary, professional growth, and a dynamic work environment.
- Why this job: Make a real impact in the exciting field of generative AI.
- Qualifications: 5-8 years in data science or engineering with Gen-AI expertise.
- Other info: Mentorship opportunities and collaboration with cross-functional teams.
The predicted salary is between 43200 - 72000 £ per year.
Anticipated Contract End Date/Length: December 31, 2026
Work set up: Onsite (must be eligible for BPSS)
Our client in the Information Technology and Services industry is looking for a Gen‑AI Technical Lead to drive the delivery and scaling of generative AI initiatives across EMEA. This role combines hands‑on technical leadership with stakeholder engagement, focusing on enterprise‑grade Gen‑AI workflows that deliver measurable business impact within regulated and operational environments.
What you will do:
- Lead the design, development and delivery of end‑to‑end Gen‑AI solutions using enterprise‑ready workflows.
- Apply retrieval‑augmented generation, prompt engineering, open‑source LLMs and orchestration frameworks to solve business problems.
- Drive Gen‑AI projects across operational and functional areas, ensuring solutions can scale across EMEA and globally.
- Collaborate closely with engineering, operations and product teams to deliver solutions within enterprise AI stack constraints.
- Translate complex AI and technical concepts into clear, business‑aligned outcomes for senior stakeholders.
- Act as a visible technical authority and trusted advisor in high‑stakes discussions and decision‑making forums.
- Mentor and uplift analysts and practitioners to accelerate Gen‑AI adoption and capability growth.
- Support and lead initiatives aligned with the broader AI operations strategy, serving as a deputy lead for Gen‑AI programs.
Qualifications:
- 5–8 years of hands‑on experience in data science or data engineering with demonstrable delivery of Gen‑AI solutions.
- Strong practical experience with Gen‑AI workflows including RAG, prompt engineering, open‑source large language models and frameworks such as LangChain.
- Proven experience leading AI initiatives in enterprise or operational environments.
- Strong ability to collaborate across cross‑functional teams in complex, regulated environments.
- Demonstrated stakeholder management skills with experience presenting to and influencing senior leaders.
- Experience mentoring teams and driving adoption of emerging AI capabilities.
- Excellent communication skills with the ability to bridge technical and business perspectives.
Additional Information:
Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship. HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements. We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted. HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.
Gen‑AI Technical Lead in Manchester employer: HelloKindred
Contact Detail:
HelloKindred Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen‑AI Technical Lead in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Gen-AI projects. This gives you a chance to demonstrate your hands-on experience and technical prowess, making you stand out to employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to translate technical jargon into business outcomes for stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Gen‑AI Technical Lead in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Gen-AI Technical Lead role. Highlight your experience with generative AI workflows and any relevant projects you've led. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your hands-on experience with technologies like retrieval-augmented generation and open-source LLMs. We love seeing specific examples of how you've applied these in real-world scenarios, so be detailed!
Communicate Clearly: Remember, you’ll need to bridge the gap between technical and business perspectives. Use clear, concise language in your application to demonstrate your ability to communicate complex ideas effectively. We appreciate clarity just as much as technical prowess!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at HelloKindred
✨Know Your Gen-AI Inside Out
Make sure you’re well-versed in generative AI concepts, especially retrieval-augmented generation and prompt engineering. Brush up on open-source large language models and frameworks like LangChain, as these will likely come up during your interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've led AI initiatives in the past. Be ready to discuss how you’ve collaborated with cross-functional teams and influenced senior stakeholders. Highlight your experience in mentoring others to drive Gen-AI adoption.
✨Translate Tech to Business
Practice explaining complex AI concepts in simple terms. You’ll need to demonstrate your ability to align technical solutions with business outcomes, so think of scenarios where you’ve successfully bridged that gap.
✨Engage with Real-World Scenarios
Be prepared to discuss specific projects or challenges you've faced in regulated environments. Think about how you ensured scalability across EMEA and globally, and be ready to share insights on overcoming obstacles in enterprise AI workflows.
