Senior AI Engineer
About The Position
The Senior AI Engineer designs, develops, and supports AI-enabled workflows, automation, and agentic solutions by translating business requirements into scalable technical capabilities. The role builds integrations and workflows, implements governance and testing standards, and supports deployment and operational adoption. It leads initiatives through the full solution lifecycle, from discovery and requirements gathering through design, development, testing, deployment, and ongoing support, while developing reusable components and documenting implementation patterns and lessons learned. The engineer develops production-ready code, configurations, technical documentation, evaluation datasets, and automated validation frameworks. The role implements security, data access, identity, and governance controls in partnership with Architecture, Information Security, and Data teams; establishes monitoring and operational support processes; and supports pilots, readiness reviews, deployments, and post-release validation. It also evaluates AI and automation technologies, makes platform and solution recommendations, mentors less-experienced team members, and promotes engineering best practices. The position includes other assigned duties and compliance with regulatory requirements and assigned training, including applicable BSA regulations. SchoolsFirst FCU describes itself as committed to diverse, equitable, and inclusive hiring and is an equal opportunity employer. The position has 40 scheduled weekly hours and a stated pay range of $112,185 to $179,496.
Requirements
- High school diploma or GED.
- Bachelor’s degree in a related field or equivalent years of experience.
- 5–7 years of prior relevant experience.
- Demonstrated experience in one or more areas: traditional AI, machine learning, generative AI, or agentic AI, including core concepts, hands-on development, implementation, and production deployment.
- Advanced knowledge of intelligent automation and robotic process automation (RPA) platforms.
- Experience with Microsoft Power Platform, Power Automate, UiPath, Automation Anywhere, or similar workflow automation, low-code, and agent framework technologies.
- Knowledge of generative AI, large language models, prompt engineering, RAG, tool calling, agent workflows, and AI-enabled workflow design.
- Experience with AI platforms such as Azure AI Services, Azure OpenAI, Copilot Studio, AWS AI/ML, or Google AI technologies.
- Proficiency in Python, SQL, APIs, authentication, data integration, enterprise applications, and systems integration methodologies.
- Understanding of cloud computing technologies and enterprise architecture principles.
- Knowledge of the software development lifecycle, testing methodologies, version control, DevOps, CI/CD, and release management.
- Understanding of logging, observability, incident management, and production support practices.
- Experience evaluating AI solutions for accuracy, reliability, latency, and failure modes.
- Working knowledge of secure AI patterns, including data access, least privilege, and tool-use controls.
Nice To Haves
- Microsoft Certified: Azure Solutions Architect Expert.
- Microsoft Certified: Agentic AI Business Solutions Architect Expert (AB-100 or equivalent).
- UiPath Automation Solution Architect Professional or Agentic Automation Professional certification.
- AWS Solutions Architect Professional and/or AWS Certified Generative AI Developer – Professional.
Responsibilities
- Design, develop, and support AI-enabled workflows, automation, and agentic solutions that translate business requirements into scalable technical capabilities.
- Evaluate and build proofs of concept for AI-enabled workflows, automation, and agentic solutions.
- Design, configure, and implement AI and automation solutions, including agents, prompts, RAG, human-in-the-loop controls, tools, and integrations across stand-alone and RPA workflows, using approved platforms and enterprise standards.
- Develop and execute the enterprise AI and automation roadmap, leading initiatives through discovery, requirements gathering, design, development, testing, deployment, and ongoing support.
- Document reusable components, implementation patterns, and lessons learned.
- Develop and maintain production-ready code, configurations, and technical documentation using established engineering, version-control, peer-review, and change-management practices.
- Develop test strategies, evaluation datasets, and automated validation frameworks for accuracy, reliability, performance, resilience, and responsible use.
- Implement approved AI and automation security, data access, identity, and governance controls in partnership with Architecture, Information Security, and Data teams.
- Establish monitoring, logging, alerting, dashboards, runbooks, incident procedures, and production support processes.
- Support pilots, production-readiness reviews, deployments, and post-release validation.
- Evaluate AI-enabled workflows, automation, and agentic technologies through technical proofs of value and recommend platform, vendor, and solution approaches.
- Mentor less-experienced team members, participate in technical reviews, and promote engineering best practices.
- Perform other duties as assigned.
- Comply with regulatory requirements and assigned training, including applicable BSA regulations.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
