At a Glance
- Tasks: Lead AI project delivery, ensuring quality and timely execution of innovative solutions.
- Company: Dynamic tech 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: Be at the forefront of AI technology and drive impactful projects.
- Qualifications: Experience in Agile delivery and familiarity with AI/ML projects.
The predicted salary is between 60000 - 80000 € per year.
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
AI Service Delivery Manager in London employer: BULLIT MANAGEMENT SERVICES LIMITED
As an AI Service Delivery Manager at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and continuous improvement. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth in the rapidly evolving field of AI. Located in a vibrant tech hub, our team is dedicated to delivering cutting-edge solutions while fostering a sense of community and shared success.
Contact Detail:
BULLIT MANAGEMENT SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Service Delivery Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with Agentic AI. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got experience with Agile delivery or AI/ML projects, make sure to highlight that in conversations. Share specific examples of how you've managed sprints or tackled challenges.
✨Tip Number 3
Get involved in relevant communities! Join forums or groups focused on AI and Agile methodologies. Engaging with others can lead to job leads and insider tips on openings.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who can drive AI initiatives. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Service Delivery Manager in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Agile delivery and AI projects. We want to see how your skills align with the role of AI Service Delivery Manager, so don’t hold back on showcasing relevant achievements!
Showcase Your Technical Skills:Don’t forget to mention your familiarity with tools like Jira and Confluence, as well as any exposure to cloud environments like AWS or GCP. We’re keen on seeing how you can contribute to our tech stack, so be specific about your experiences!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key responsibilities and achievements are easy to spot. Use bullet points if it helps!
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 shows you’re serious about joining the StudySmarter team!
How to prepare for a job interview at BULLIT MANAGEMENT SERVICES LIMITED
✨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 tracked deliverables in your previous roles. This will show that you understand the core principles of delivery execution.
✨Familiarise Yourself with AI Workflows
Since the role involves Agentic AI initiatives, it’s crucial to have a solid grasp of AI/ML concepts and workflows. Prepare examples of how you've implemented or overseen AI solutions, particularly focusing on multi-agent systems and API integrations.
✨Showcase Your Coordination Skills
Highlight your experience in coordinating across teams, especially in tech environments. Be ready to share specific instances where you drove daily stand-ups or resolved blockers, as this demonstrates your ability to keep projects on track.
✨Prepare for Technical Questions
Expect questions about your experience with cloud environments like AWS or GCP, and tools like Jira or Confluence. Brush up on LLMOps concepts and be prepared to discuss how you’ve tracked operational metrics in past projects.
