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- Tasks: Lead Gen AI projects and engage with stakeholders to drive business outcomes.
- Company: Dynamic technology consultancy in Greater Manchester.
- Benefits: Competitive daily rate based on experience and professional growth opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 5-8 years in data science or engineering with Gen-AI expertise.
- Other info: Onsite role, 4-5 days a week, fostering collaboration and leadership.
The predicted salary is between 48000 - 72000 £ per year.
A technology consultancy is seeking a Gen AI Technical Lead for a project in Greater Manchester. This role requires onsite presence 4-5 days a week and 5-8 years of relevant experience in data science or engineering, specifically in Gen-AI workflows.
The candidate should excel in cross-functional leadership, stakeholder engagement, and translating AI concepts into business outcomes. Competitive daily rate based on experience.
Gen AI Lead - Manchester (Onsite, 4-5 days) employer: OCTOPUS COMPUTER ASSOCIATES
Contact Detail:
OCTOPUS COMPUTER ASSOCIATES Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Lead - Manchester (Onsite, 4-5 days)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who are already working in AI or consultancy. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Showcase your skills! Prepare a portfolio that highlights your experience with Gen-AI workflows. Use real-world examples to demonstrate how you've translated AI concepts into tangible business outcomes.
✨Tip Number 3
Ace the interview! Research the company and come prepared with questions that show your interest in their projects. Be ready to discuss how your cross-functional leadership can benefit their team.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Gen AI Lead - Manchester (Onsite, 4-5 days)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and Gen-AI workflows. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Gen AI Lead position. We love seeing candidates who can translate complex AI concepts into real business outcomes.
Showcase Leadership Skills: Since this role involves cross-functional leadership, make sure to highlight any experiences where you've led teams or engaged with stakeholders. We’re looking for someone who can inspire and drive collaboration!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at OCTOPUS COMPUTER ASSOCIATES
✨Know Your Gen AI Inside Out
Make sure you brush up on your knowledge of Gen AI workflows. Be ready to discuss specific projects you've worked on and how they relate to the role. This will show that you not only understand the technology but can also apply it effectively.
✨Showcase Your Leadership Skills
Since this role requires cross-functional leadership, prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to engage stakeholders and drive collaboration, as this will be key to your success in the position.
✨Translate Tech Speak into Business Value
Practice explaining complex AI concepts in simple terms. The interviewers will want to see how you can bridge the gap between technical details and business outcomes. Think of examples where your work has directly impacted business goals.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Prepare by thinking through potential challenges you might face in the role and how you would address them, especially in a consultancy environment.
