Senior IT Project Manager - AI

Calista Corporation•Quantico, VA

7d•Onsite

About The Position

StraitSys is seeking a Senior IT Project Manager in Artificial Intelligence to support the FBI in Quantico, Virginia. This position will provide strategic and technical leadership in the design, development, implementation, and support of enterprise technology solutions leveraging Artificial Intelligence, Machine Learning (ML), and Generative AI technologies. This position leads technical teams in delivering innovative, secure, scalable, and responsible AI solutions that enhance business operations, improve customer experiences, automate workflows, and support data-driven decision making.

Requirements

Must be a US Citizen.
Active Top Secret Clearance; may be required to obtain SCI access
Bachelor's degree from an accredited college or university with major coursework in business, computer science, project management, information technology, or a related field. Significant related experience may be considered in lieu of a bachelor's degree.
Hands-on experience with one or more enterprise AI platforms, including Microsoft Azure AI, Azure OpenAI Service, Amazon Bedrock, AWS AI Services, Google Vertex AI, or equivalent technologies.
Experience integrating Large Language Models (LLMs) into enterprise applications using APIs and cloud services.
Demonstrated experience with: Generative AI applications, Prompt engineering, Retrieval-Augmented Generation (RAG), AI agents and workflow automation, Natural Language Processing (NLP), Machine Learning, Semantic search and vector databases, AI model evaluation and optimization
Experience developing secure, scalable cloud-based AI solutions.
Strong understanding of cybersecurity, responsible AI, data governance, privacy, and compliance requirements.
Excellent leadership, communication, analytical, and problem-solving skills.
Ability to successfully pass a pre-employment drug test.

Nice To Haves

Advanced degree in a business or technical field preferred
Experience with Claude, OpenAI and Microsoft Copilot is a plus.
FAC P/PM or PMP certification preferred.
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Applied Skills: Build Generative AI Solutions with Azure OpenAI Service
Microsoft Applied Skills: Create AI Agents with Azure AI Foundry
AWS Certified Machine Learning – Specialty
Google Professional Machine Learning Engineer
CompTIA AI Essentials+ (or equivalent AI certification)
Industry-recognized IT service management certification preferred.
Experience with Atlassian / Jira / Confluence and TFS a plus
Project Management experience preferred, not required.
Knowledge of cybersecurity principles preferred, not required.

Responsibilities

Facilitate the definition of project charter, scope, goals, and deliverables.
Lead architecture, design, implementation, and support of Generative AI solutions.
Provide technical leadership for AI initiatives involving Machine Learning, Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), intelligent automation, and predictive analytics.
Design and implement GenAI solutions using commercial and open-source foundation models to improve business processes, employee productivity, and customer engagement.
Develop AI-enabled applications using Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, semantic search, and orchestration frameworks.
Evaluate emerging AI technologies, models, and platforms, recommending solutions that align with organizational goals and enterprise architecture.
Lead proof-of-concepts (POCs), pilot programs, and production deployments of AI and GenAI capabilities.
Collaborate with business leaders, developers, data engineers, cybersecurity teams, data scientists, and vendors to identify and implement AI use cases.
Establish enterprise standards for AI architecture, model governance, responsible AI, prompt management, and AI lifecycle management.
Ensure AI and GenAI solutions comply with cybersecurity requirements, privacy regulations, ethical AI principles, and organizational governance policies.
Lead integration of AI services with enterprise applications, APIs, cloud platforms, collaboration platforms, and business workflows.
Mentor technical staff on AI development practices, prompt engineering techniques, AI governance, and emerging technologies.
Develop technology roadmaps supporting enterprise AI adoption and digital transformation initiatives.
Stay current with advances in Generative AI, foundation models, cloud AI services, and industry best practices.
Assist the Government in creating and compiling project plans and work assignments, project schedules and milestones for new innovation, and budgetary documentation; facilitating and monitoring work efforts; identifying resource trends and needs; and escalating functional, quality, or timeline issues appropriately.
Work closely with internal and government stakeholders to understand negotiated, documented, and agreed upon request deliverables.
Assist the Government in assessing, validating, monitoring, planning, and controlling/mitigating project change and risk.
Communicate progress, status, and issues to customers and management.
Assist the Government in measuring project performance using appropriate systems, tools, and techniques.
Assist the Government in managing customer expectations and maintaining ongoing client satisfaction.
Plan, facilitate and champion effective Agile / Scrum ceremonies including backlog grooming, sprint planning, stand ups, sprint demos and retrospectives.
Analyze new and complex project related problems and create innovative solutions involving finance, scheduling, technology, methodology, tools, and solution components.