At a Glance
- Tasks: Lead AI initiatives on AWS, guiding teams and engaging with clients.
- Company: Dynamic tech firm focused on Generative AI and cloud solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a collaborative team driving cutting-edge AI transformations.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 8 years in tech delivery, strong AWS knowledge, and stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
Mandatory Skill: AWS AgentCore, Bedrock and familiarity with AWS Technologies with Engagement Management experience.
Overview: Seeking a Tech PM to lead the delivery of enterprise-scale Generative AI and Agentic AI initiatives on AWS. The role requires a blend of client-facing consulting, technical leadership, solution governance, and hands-on understanding of AWS AI services, particularly Amazon Bedrock, AgentCore, and AWS Launchpad-related programmes.
Key Responsibilities:
- Lead client engagements from discovery through design, implementation, and adoption of AI solutions.
- Act as the primary interface between business stakeholders, technology teams, and AWS partners.
- Drive solution strategy, delivery governance, risk management, and executive reporting.
- Facilitate workshops to identify, prioritise, and define AI and automation use cases.
- Design and oversee implementation of GenAI and agent-based solutions using Amazon Bedrock and AgentCore.
- Guide architecture decisions across model selection, security governance, guardrails, and enterprise integration.
- Support presales activities, solution shaping, effort estimation, and proposal development.
- Manage cross-functional delivery teams and ensure successful programme outcomes.
Required Skills & Experience:
- 8 years of consulting, technology delivery, or programme management experience.
- Proven experience leading complex cloud or digital transformation engagements.
- Hands-on knowledge of Amazon Bedrock including:
- oRAG Retrieval-Augmented Generation
- oKnowledge Bases
- oPrompt Engineering
- oGuardrails and Responsible AI
- Experience with AWS AgentCore and/or agentic AI architectures including:
- oAI agents and orchestration frameworks
- oTool integration patterns
- oAgent memory and observability
- Working knowledge of AWS Launchpad and AWS engagement/governance frameworks.
- Strong stakeholder management skills with experience engaging Director, CIO, and executive-level stakeholders.
- Experience leading geographically distributed teams.
Preferred Qualifications:
- Experience delivering GenAI or Agentic AI solutions in production environments.
- Knowledge of frameworks such as LangGraph, CrewAI, Strands, AutoGen, or similar.
- AWS certifications: Solutions Architect, AI Practitioner, or Professional certifications.
- Experience in regulated industries such as Financial Services, Insurance, Healthcare, or Public Sector.
Success Measures:
- Successful delivery of AI transformation programmes on schedule and within budget.
- Adoption and measurable business value from Bedrock-based AI solutions.
- Strong stakeholder satisfaction and executive engagement.
- Effective governance, risk management, and team leadership throughout the engagement.
Ideal Candidate Profile:
A technically credible Engagement Manager who can confidently lead discussions with enterprise executives while effectively guiding teams implementing Amazon Bedrock and Agentic AI solutions on AWS. The candidate should be equally comfortable discussing business outcomes, programme governance, and solution architecture.
Technical PM in London employer: TESTQ TECHNOLOGIES LTD
TESTQ Technologies LTD. is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the UK Insurance and Financial Services sector. With a strong emphasis on employee growth, you will have the opportunity to mentor and lead talented data engineers while working on cutting-edge cloud technologies like AWS, Databricks, and MongoDB. The company prioritises a supportive environment that encourages professional development and provides unique advantages such as flexible working arrangements and a commitment to data governance and security.
