Description We are seeking an experienced Technical Project Manager - AI Integration to lead the planning, execution, and delivery of AI-powered initiatives across the organization. This role bridges business objectives, engineering execution, and AI strategy, ensuring successful integration of artificial intelligence solutions into existing products, workflows, and business processes.
The ideal candidate is open to a HYBRID schedule and has a strong technical background, exceptional project management skills, and hands-on experience managing AI/ML initiatives involving large language models (LLMs), automation, data integration, and cloud-based technologies.
Key Responsibilities
- Lead end-to-end delivery of AI integration projects from discovery through deployment, post-launch support, and continuous optimization.
- Develop and manage project plans, schedules, budgets, resource allocations, and risk mitigation strategies to ensure successful project execution.
- Partner with business leaders, product managers, engineering teams, data scientists, and external vendors to define AI use cases, requirements, and implementation roadmaps.
- Coordinate the integration of AI technologies-including large language models (LLMs), machine learning solutions, intelligent automation, and AI-powered applications-into existing business processes and enterprise systems.
- Translate business objectives into actionable technical project plans and facilitate communication between technical and non-technical stakeholders.
- Manage multiple concurrent projects using Agile, Scrum, or hybrid project management methodologies while tracking milestones, dependencies, deliverables, and overall project health.
- Oversee testing, user acceptance, deployment planning, production releases, and post-implementation support to ensure successful solution adoption.
- Identify, assess, and mitigate project risks, issues, and dependencies, escalating concerns and driving timely resolution when necessary.
- Ensure AI initiatives comply with organizational standards for security, privacy, governance, regulatory requirements, and responsible AI practices.
- Prepare and present project status updates, executive dashboards, and performance metrics to senior leadership and key stakeholders.
- Facilitate project planning sessions, workshops, stakeholder meetings, and cross-functional collaboration to maintain alignment and drive decision-making.
- Support technical architecture discussions and integration planning by collaborating with engineering teams and solution architects.
- Monitor solution performance, user adoption, and business outcomes, identifying opportunities for optimization and continuous improvement.
- Establish and promote project management best practices, governance standards, and delivery processes for AI initiatives across the organization.
- Stay current on emerging AI technologies, industry trends, and implementation best practices to identify opportunities for innovation and increased business value.
Requirements Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field.
- 5-8+ years of technical project management experience.
- 2-4+ years managing AI, machine learning, automation, or data-driven technology projects.
- Strong understanding of AI concepts including:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Prompt engineering
- Machine learning lifecycle
- AI APIs and integrations
- Generative AI applications
- Experience delivering cloud-based solutions (AWS, Azure, or Google Cloud).
- Familiarity with REST APIs, system integrations, and enterprise architecture concepts.
- Experience working in Agile/Scrum environments.
- Strong organizational, communication, and stakeholder management skills.
Preferred Qualifications
- PMP, PMI-ACP, Scrum Master, or equivalent project management certification.
- Experience implementing enterprise AI platforms.
- Familiarity with Microsoft Copilot, Azure AI, OpenAI APIs, Anthropic, Google Gemini, or similar AI technologies.
- Knowledge of data governance, AI ethics, and model evaluation frameworks.
- Experience with Jira, Azure DevOps, Asana, Monday.com, or similar project management tools.
- Experience managing cross-functional and distributed teams.
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