AI/ML Engineer, Remote Role

About the Role

Our client is seeking an AI/ML Engineer for a full-time, remote position supporting the development and implementation of AI-enabled solutions. The role focuses on evaluating AI use cases, integrating AI capabilities into enterprise applications, and ensuring solutions align with responsible AI practices and organizational requirements. The successful candidate will bring Python proficiency, experience with AI/ML technologies, and an understanding of the complete AI solution lifecycle. The position also involves assessing technical feasibility, business value, implementation complexity, and potential risks associated with AI initiatives.

Key Responsibilities

• Design, develop, evaluate, and implement AI/ML solutions.
• Apply responsible AI frameworks, governance practices, and risk-management approaches.
• Evaluate, pilot, and deploy AI, machine learning, generative AI, and large language model (LLM) tools in organizational environments.
• Use Python to support AI/ML development and implementation.
• Integrate AI-enabled capabilities with APIs, data sources, and enterprise applications.
• Support the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance.
• Assess AI use cases for technical feasibility, business value, implementation complexity, and potential risks.
• Explore opportunities to apply AI and workflow automation platforms to organizational processes.

Requirements & Tech Stack

• Experience designing, developing, evaluating, or implementing AI/ML solutions.
• Experience with responsible AI frameworks, governance, or risk-management practices.
• Experience with Power Automate, Copilot Studio, or comparable AI and workflow automation platforms.
• Proficiency in Python.
• Experience working with APIs, data sources, and enterprise applications to integrate AI-enabled capabilities.
• Experience evaluating, piloting, or deploying AI, machine learning, generative AI, or LLM-based tools in organizational environments.
• Understanding of the AI/ML solution lifecycle, including requirements gathering, development, testing, deployment, monitoring, and maintenance.
• Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases.
• Active Secret security clearance.

Qualifications

• Familiarity with the Department of Defense Responsible AI Strategy and related DoD AI guidance.
• Experience developing or implementing AI governance frameworks.
• Experience with generative AI and large language models.
• Experience building AI agents or agentic workflows.
• Experience with retrieval-augmented generation (RAG), embeddings, semantic search, or vector databases.
• Experience developing intelligent document processing solutions.
• Experience with Microsoft Fabric, Azure AI, Azure OpenAI, or related Microsoft cloud AI services.
• Experience with Microsoft Power Platform technologies, including Power Apps and Power Automate.

Location and Work Arrangement: Full-time, remote position for candidates based in the United States. Periodic onsite collaboration is required in Laurel, Maryland, approximately once every six weeks.