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- Tasks: Lead AI project delivery, manage sprints, and ensure quality deployment of innovative solutions.
- Company: Dynamic tech consulting firm focused on cutting-edge AI initiatives.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a forward-thinking team and drive impactful AI projects that shape the future.
- Qualifications: 15+ years in Agile delivery with experience in AI/ML project management.
The predicted salary is between 70000 - 90000 £ per year.
Experience: 15+ Years
Role Purpose: Own the day-to-day delivery and execution of Agentic AI initiatives, ensuring sprint-level progress, quality delivery, and successful deployment of AI solutions into production.
Key Responsibilities:
- Delivery Execution and Sprint Management: Manage end-to-end delivery at sprint and release level, plan and track sprint backlogs, user stories, and deliverables, ensure adherence to timelines, scope, and quality standards, monitor team velocity, burndown, and delivery KPIs.
- Team and Workstream Coordination: Coordinate across Engineering, development, and architecture teams, drive daily stand-ups, sprint planning, reviews, and retrospectives, identify and resolve blockers impacting delivery, ensure clear task ownership and accountability.
- Agentic AI Implementation Oversight: Track development of multi-agent workflows (planner, executor, memory, etc.), ensure delivery of components such as orchestration, APIs, and integrations, support testing cycles including functional, integration, and UAT, ensure readiness for deployment and release.
- LLMOps and Release Management: Ensure implementation of prompt and model versioning, testing and evaluation pipelines, support release management across environments (dev/test/prod), track operational metrics such as latency, defect rates, and token usage.
- Quality and Risk Management: Ensure adherence to testing standards and acceptance criteria, track and mitigate delivery risks and issues, ensure compliance with security and governance requirements.
- Stakeholder Communication: Provide regular updates on sprint progress and delivery status, escalate risks, delays, and dependencies proactively, coordinate with business teams during UAT and rollout.
Technical Stack:
Must Have:
- Experience in Agile delivery (Scrum/Kanban) for technology programs.
- Exposure to AI/ML or Generative AI project delivery.
- Understanding of Agentic AI workflows and LLM-based applications, API integrations and distributed systems.
- Experience with cloud environments (AWS/GCP).
- Strong delivery tracking, reporting, and coordination skills.
Good to Have:
- Exposure to LangChain, LangGraph, CrewAI, or AutoGen.
- Familiarity with LLMOps concepts and tools.
- Understanding of RAG pipelines or vector databases.
- Experience with Jira, Confluence, or similar tools.
Technical Project Manager - Tech Consulting in London employer: ixceed solutions
Contact Detail:
ixceed solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Project Manager - Tech Consulting in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech consulting space, especially those who have experience with AI projects. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your past projects, especially those involving Agile delivery and AI implementations. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and AI concepts. Be ready to discuss how you've managed sprint backlogs and tackled blockers in previous roles. Confidence in your knowledge will impress interviewers!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Technical Project Manager - Tech Consulting in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Technical Project Manager role. Highlight your Agile delivery experience and any exposure to AI/ML projects, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've managed sprint deliveries and coordinated teams in the past. We love a good story!
Showcase Your Technical Skills: Don’t forget to mention your familiarity with tools like Jira or Confluence, and any experience with cloud environments. This will help us see how you can hit the ground running in our tech stack.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at ixceed solutions
✨Know Your Agile Inside Out
Make sure you brush up on Agile methodologies, especially Scrum and Kanban. Be ready to discuss how you've managed sprint backlogs and user stories in your previous roles, as this will show your understanding of the delivery execution process.
✨Showcase Your AI Knowledge
Since the role involves Agentic AI initiatives, be prepared to talk about your experience with AI/ML projects. Highlight any specific tools or frameworks you've used, like LangChain or LLMOps, to demonstrate your technical expertise.
✨Communication is Key
This role requires regular updates and stakeholder communication. Think of examples where you've successfully escalated risks or coordinated with teams during UAT. Clear communication can set you apart from other candidates.
✨Be Ready for Technical Questions
Expect questions about API integrations and distributed systems. Brush up on your knowledge of cloud environments like AWS or GCP, and be ready to discuss how you've tracked operational metrics in past projects.