6 часов назад
AI Technical Project Manager (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Technical Project Manager (Agentic AI): Lead end-to-end delivery of Agentic AI and Generative AI initiatives for enterprise applications with an accent on Agile execution, backlog prioritization, and cross-functional stakeholder management. Focus on coordinating AI architecture and integrations, establishing prompt engineering and testing practices, and managing deployment through APIs and CI/CD pipelines.
Location: Remote with a hybrid option in Coppell, Texas, United States
Company
is a digital engineering and consulting company delivering digital transformation strategies and solutions for enterprise clients.
What you will do
- Lead end-to-end delivery of Agentic AI and Generative AI projects in an Agile environment.
- Work with Product Owners, engineering teams, and business stakeholders to prioritize backlogs and define project roadmaps.
- Drive sprint planning, backlog grooming, risk management, milestone tracking, and stakeholder communication.
- Coordinate cross-functional teams to ensure timely, high-quality project delivery.
- Collaborate on AI solution architecture, integrations, and deployment strategies.
- Establish delivery practices for prompt engineering, testing, evaluation, governance, and observability.
Requirements
- 10+ years of experience in technical project management.
- Strong experience with Agile/Scrum, backlog prioritization, stakeholder management, and analytical problem-solving.
- Hands-on Python experience for production-grade application development.
- Experience with LLM orchestration frameworks such as LangGraph, LangChain, GitLab Duo, Amazon Bedrock, Cortex, or similar platforms.
- Understanding of Agentic AI concepts, including agent loops, state machines, ReAct patterns, and multi-agent orchestration.
- Knowledge of prompt engineering, REST APIs, OpenAPI specifications, API integration, CI/CD pipelines, and DevOps practices.
Nice to have
- Experience delivering Generative AI or LLM-based enterprise applications.
- Exposure to AWS, Azure, or GCP; Amazon Bedrock experience is a plus.
- Experience in banking, financial services, or other regulated industries.
- Familiarity with AI governance, model evaluation, observability, and security best practices.
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Culture & Benefits
- Consulting work with enterprise clients on digital transformation initiatives.
- Contingent-worker engagement within the Digital Engineering organization.
- Remote work arrangement with a hybrid option in Coppell, Texas.
- Equal employment opportunity regardless of protected personal characteristics.
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