Job description

Required Skills & Experience: • 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 • Python proficiency • 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 • Experience developing prototypes, proofs of concept, or production AI-enabled applications • Familiarity with model evaluation, performance measurement, and monitoring approaches • Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases • Strong analytical, problem-solving, communication, and documentation skills • Experience working with technical and non-technical stakeholders • Ability to translate operational needs into practical AI-enabled solutions • Active Secret clearance

Requirements

Must-haves

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
Python proficiency
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
Experience developing prototypes, proofs of concept, or production AI-enabled applications
Familiarity with model evaluation, performance measurement, and monitoring approaches
Ability to assess technical feasibility, business value, implementation complexity, and risk for AI use cases
Strong analytical, problem-solving, communication, and documentation skills
Experience working with technical and non-technical stakeholders
Ability to translate operational needs into practical AI-enabled solutions
Active Secret clearance

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonmachine learningllm

Platform: jazzhr
Effort: medium