Description

The Sr. AI Engineer will report directly to the Sr. Director of Data Analytics & AI Ecosystems and serve as a primary hands-on builder within the company's AI Ecosystem, anchored by the AIMES (AI Mini-Ecosystem) platform. This role is responsible for developing and maintaining Copilot Studio agents, Power Automate orchestration flows, Python-based tooling and dashboards, and supporting the training, tuning, and evaluation of AI models used across the organization.

This role combines hands-on AI/automation engineering with data analytics capability. In the near term, the emphasis is on building out the AI Ecosystem: agents, automation, and integrations. As that build-out matures, the role is expected to shift toward analyzing the data and outcomes produced by those systems, generating insights, and supporting data-driven decision-making alongside the Sr. Director. The Sr. AI Engineer should be equally comfortable building an agent and analyzing the data it produces, with strong Python fundamentals, disciplined GitHub/CI-CD practices, and the ability to translate ecosystem roadmap priorities into working, production-ready solutions on the existing Microsoft 365 E5 platform.

Essential Duties & Responsibilities

• Design, build, and maintain Copilot Studio agents, including conversational flows, tool/function calling, and retrieval-augmented generation (RAG) integration against the SharePoint Document Repository.
• Develop, test, and support Power Automate flows for orchestration, approval routing, reminders/escalation, and reconciliation, following documented build and change-control discipline.
• Write and maintain Python code for automation scripting, API integrations, data pipelines, and dashboard generation (e.g., Chart.js-based visualizations).
• Support AI model training, fine-tuning, and prompt engineering efforts, including embeddings generation, vector search configuration, and RAG pipeline construction and upkeep.
• Manage source control in GitHub, following branching, pull-request review, and versioning discipline consistent with team standards.
• Design and implement CI/CD pipelines for AI and automation deliverables, ensuring reliable, repeatable, and auditable deployment.
• Integrate solutions with the broader Microsoft 365 / Power Platform environment, including SharePoint, Dataverse, and related services.
• Maintain documentation, testing evidence, and change logs aligned with the organization's SOX and CMMC compliance requirements, including human sign-off on automated approvals and per-action audit logging.
• Partner with the Sr. Director of Data Analytics & AI Ecosystems to execute the AIMES roadmap and support enterprise AI Ecosystem initiatives (Automation Hub, Intelligence Hub, and related components).
• Troubleshoot production automation and agent issues, verifying ground truth against live system behavior rather than assumed outcomes.
• Contribute to cross-training efforts, sharing AI/automation engineering knowledge with other members of the Data Analytics & AI Ecosystems team.
• Analyze data generated by AI agents, automation flows, and integrated systems to identify trends, performance issues, and opportunities for improvement.
• Build and maintain reporting and dashboards that translate AI Ecosystem activity and outcomes into actionable insight for the Sr. Director and business stakeholders.
• Partner with the Sr. Director on data analytics work as the AI Ecosystem build-out matures, with the expectation that analytics responsibility grows over time as agent and automation development stabilizes.

Job Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience.
• 5+ years of software engineering experience, with recent, demonstrable focus on AI/LLM-enabled tooling and automation.
• Hands-on experience with Microsoft Copilot Studio or a comparable conversational AI/agent development platform.
• Strong working experience with Power Automate and the broader Power Platform.
• Proficiency in Python required; familiarity with TypeScript/JavaScript is a plus.
• Experience working with AI/LLM APIs (e.g., OpenAI, Anthropic), including structured prompting, function calling/tool use, embeddings, RAG, and vector search.
• Practical GitHub experience and familiarity with building and maintaining CI/CD pipelines.
• Experience building dashboards or data visualizations (e.g., Chart.js, Power BI, or similar tooling).
• Familiarity with the Microsoft 365 ecosystem, including SharePoint and Dataverse.
• Experience operating in a regulated or compliance-driven environment (SOX, CMMC, HIPAA, or similar) is a plus.
• Strong communication skills and the ability to work directly and iteratively with technical leadership.
• Working knowledge of data analytics practices, including the ability to interpret data, identify trends, and translate findings into clear, actionable recommendations.
• Comfort moving between hands-on engineering work and data/analytics work as priorities shift over time.

Key Competencies

• AI/Automation Engineering Depth - Hands-on ability to design and build production-grade AI agents and automation.
• Agent & Workflow Architecture - Understanding of how to structure agents, flows, and RAG pipelines for reliability and maintainability.
• Python Engineering - Strong scripting and application development skills.
• DevOps/CI-CD Discipline - Comfort with source control, structured deployment, and repeatable delivery practices.
• Compliance Awareness - Ability to build within SOX/CMMC constraints, including audit logging and human sign-off requirements.
• Collaborative Execution - Ability to take direction from the Sr. Director and execute against a shared roadmap with minimal rework.
• Data Analytics Fluency - Ability to analyze data and translate it into insight, growing in emphasis as the AI Ecosystem build-out matures.

Supervisory Responsibility

This position has no direct reports. The role reports directly to the Sr. Director of Data Analytics & AI Ecosystems.

Work Environment

This is a fully remote position. The employee will primarily work from a home office environment and is responsible for maintaining a reliable, secure workspace and internet connection sufficient to support production systems, video conferencing, and collaboration tools. This role routinely uses standard office equipment such as computers, phones, and related technology.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms and requires the ability to occasionally lift office products and supplies up to 20 pounds.

Position Type and Expected Hours of Work

This is a full-time position, and hours of work and days are generally Monday through Friday, during day shift hours. Occasional after-hours or weekend work may be required to support production deployments or time-sensitive builds.

Travel

Travel for this position is expected to be occasional, primarily for team collaboration, planning sessions, or on-site project needs. Travel up to 20% should be expected.

Benefits:

• Competitive salary and bonus structure
• Comprehensive health, dental, and retirement plans
• Ongoing professional development opportunities
• A dynamic and collaborative work environment

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.