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For Companies At a Glance
- Tasks: Lead exciting AI projects, managing schedules, resources, and Agile delivery cycles.
- Company: Join a fantastic client known for world-class AI-driven solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Be at the forefront of AI technology, making a real impact in various industries.
- Qualifications: 5+ years in technical project management with experience in AI and software integration.
- Other info: Security clearance is required; start ASAP!
The predicted salary is between 48000 - 72000 £ per year.
My client is currently recruiting for a Technical AI Software Project Manager to come in and work on some very exciting projects.
Key Responsibilities
- Manage 5+ software & hardware projects, including deployments, developments, and integrations of AI-driven solutions such as AVIS.
- Lead Agile delivery cycles, including Scrum or Kanban, ensuring projects are delivered on time and within budget.
- Manage project schedules, resources, risks, and issues, ensuring alignment with client requirements and internal objectives.
- Collaborate with Tech Leads to ensure technical oversight and appropriate trade-offs in design and architecture, particularly when integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and other advanced AI technologies.
Minimum Qualifications & Experience
- 5+ years of experience as a Technical Project Manager or equivalent in managing software and AI-driven projects.
- Proven track record in managing software projects that have shipped to production (ideally with React and Python stacks, such as Django, FastAPI, or Flask).
- Experience delivering AI-driven projects and integrating Large Language Models (LLMs), RAG workflows, or similar technologies (ideally relevant to AVIS or similar products).
- End-to-end delivery experience in Agile environments, managing sprints, timelines, and budgets.
- Ability to pull up a GitHub PR and communicate effectively with engineers to discuss trade-offs and technical decisions.
- Experience in regulated environments (e.g., defence, aerospace, healthcare, finance), and managing compliance/security accreditations.
- Strong experience in scope and requirement definition, resource management, and budget control.
- Experience working in fast-moving commercial environments, particularly in start-ups or high-growth companies.
- Strong communication skills, with the ability to present and liaise with senior stakeholders, customers, and external parties.
This role requires security clearance or you must at least be eligible for security clearance.
AI Project Manager (Oxford) employer: Think IT Resources
Contact Detail:
Think IT Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Project Manager (Oxford)
✨Tip Number 1
Familiarise yourself with Agile methodologies, especially Scrum and Kanban, as these are crucial for the role. Consider obtaining a certification if you haven't already, as it demonstrates your commitment and understanding of project management frameworks.
✨Tip Number 2
Brush up on your technical knowledge, particularly around AI technologies like Large Language Models and Retrieval-Augmented Generation. Being able to discuss these topics confidently will set you apart during interviews.
✨Tip Number 3
Network with professionals in the AI and project management fields. Attend relevant meetups or webinars to connect with others who may have insights or even referrals for the position you're interested in.
✨Tip Number 4
Prepare to discuss your experience in regulated environments, as this is a key requirement. Think of specific examples where you've managed compliance or security accreditations, and be ready to share these during your conversations.
We think you need these skills to ace AI Project Manager (Oxford)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing AI-driven projects and Agile methodologies. Emphasise your familiarity with technologies like React, Python, and Large Language Models, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and project management. Mention specific projects you've led that align with the job description, particularly those involving integrations of advanced AI technologies.
Highlight Relevant Experience: In your application, focus on your experience in regulated environments and your ability to manage compliance and security accreditations. This will demonstrate your suitability for the role's requirements.
Showcase Communication Skills: Since strong communication skills are essential for this position, include examples of how you've effectively liaised with stakeholders and managed project teams. This can set you apart from other candidates.
How to prepare for a job interview at Think IT Resources
✨Showcase Your Project Management Experience
Be prepared to discuss your previous experience managing software and AI-driven projects. Highlight specific examples where you successfully delivered projects on time and within budget, especially those involving Agile methodologies like Scrum or Kanban.
✨Demonstrate Technical Knowledge
Familiarise yourself with the technologies mentioned in the job description, such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows. Be ready to discuss how you've integrated these technologies in past projects and your understanding of their implications.
✨Communicate Effectively with Engineers
Since the role requires liaising with technical teams, practice discussing technical concepts clearly and concisely. Be prepared to pull up a GitHub PR and explain trade-offs and decisions made during the development process.
✨Prepare for Stakeholder Engagement
Given the need to present to senior stakeholders, think about how you can effectively communicate project updates and align client requirements with internal objectives. Prepare examples of how you've managed stakeholder expectations in the past.
