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, Agent Core, and AWS Launchpad related programmes.
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 Agent Core.
- 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.
Qualifications
- Hands on 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 Foundation Models, RAG (Retrieval Augmented Generation), Knowledge Bases, Prompt Engineering, Guardrails, and Responsible AI.
- Experience with AWS Agent Core and/or agentic AI architectures including AI agents and orchestration frameworks, tool integration patterns, agent 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.
Required Skills
- Service Management Consulting - SIAM, ITSM, Non-ITSM.
- Experience delivering GenAI or Agentic AI solutions in production environments.
- Knowledge of frameworks such as Lang, Graph, 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.
#J-18808-Ljbffr
