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Project Manager AI-agentic development and architecture experience Onsite at Lake Forest,CA

E-Solutions, Inc.Lake Forest, CA🇺🇸United StatesPosted 11 Aug 2026

Why This Role Stands Out

This role offers a unique opportunity to lead AI-agentic development projects, blending strong Agile methodologies with cutting-edge architecture governance. You'll thrive here if you are a seasoned Project Manager with a passion for innovation and a knack for stakeholder management, making a significant impact on groundbreaking technology. Apply now to join a dynamic team and advance your career in a pivotal area of AI development.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

 
Overall: This is a Scrum Master / Project Manager role with strong Agile delivery responsibilities plus emerging AI-agentic development governance and architecture experience.
 
 

Key Skills

  • Project Management & Scrum Master
  • Agile/Scrum, SAFe, Kanban
  • Stakeholder & Client Management
  • Requirement Gathering & User Stories
  • Jira & Confluence
  • SDLC, Governance & Compliance
  • Risk, Dependency & Release Management
  • UAT & Cross-functional Team Coordination

Key Responsibilities

  • Lead Scrum ceremonies and drive Agile best practices.
  • Manage end-to-end project delivery—scope, timelines, risks, dependencies.
  • Gather requirements and convert them into user stories with acceptance criteria.
  • Manage product backlog, sprint progress, velocity, and delivery.
  • Remove impediments and drive continuous improvement.
  • Coordinate Dev, QA, Product, and business stakeholders.
  • Manage UAT, releases, reporting, and senior leadership communication.
  • Handle multiple projects/teams while ensuring SDLC and compliance standards.

BizChat / AI-Agentic Skills

  • Experience with agentic IDEs and AI-assisted SDLC.
  • Define architecture and agent-executable tasks.
  • Establish AI guardrails, permissions, reviews, and governance.
  • Supervise AI agents across microservices, legacy modernization, and large codebases/monorepos.
  • Integrate agentic workflows with CI/CD pipelines.
  • Ensure security, compliance, auditability, and traceability of AI-generated code.
  • Establish quality/review practices for AI-assisted development.
  • Mentor teams on AI autonomy vs. correctness and maintainability.
  • Assess impact on SDLC, CI/CD, security posture, and technical debt.

Project Manager AI-agentic development and architecture experience Onsite at Lake Forest,CA1Project Manager,AI-agentic development governance and architecture experienceN/AC2CUnited States

Skills

Scrum
Agile
Confluence
Continuous Improvement
Jira
Kanban
SAFe

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