Note: The job is a remote job and is open to candidates in USA. R & S Northeast is seeking a Sr. AI Engineer to serve as a hands-on builder within its AI Ecosystem. The role focuses on developing AI agents, automation workflows, Python tooling, integrations, model support, and dashboards, while increasingly analyzing system-generated data and supporting data-driven decision-making.
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
Skills
- 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
- 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
- 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
- Familiarity with TypeScript/JavaScript is a plus
- Experience operating in a regulated or compliance-driven environment (SOX, CMMC, HIPAA, or similar) is a plus
Benefits
- Bonus structure
- Comprehensive health, dental, and retirement plans
- Ongoing professional development opportunities
- A dynamic and collaborative work environment
- Fully remote position
Company Overview