• Build AI‑powered automations for core People workflows (recruiting, onboarding, offboarding, employee lifecycle, compliance) • Translate defined workflow specs or process maps into built, tested, and deployed automations • Build and deploy skills or agentic workflows in partnership with the AI COE, including work tied to PROG’s active PIPER+ program • Use AI tools (Claude, Microsoft Copilot, GitHub Copilot, or similar) as core building tools — for workflow logic, automation, and agent design • Integrate automations with Workday, Jira, Microsoft 365, and other tools in the PROG stack (API and MCP support provided) • Ship quickly and iterate: deliver functional MVPs, gather feedback, and improve over time • Maintain and enhance automations as People needs evolve • Document what you build so others can understand, maintain, and extend it • Partner closely with TA, People Ops, Total Rewards, and HR Technology leaders

• Execute and improve automation workflows using AI tools, agents, command-line interfaces, and scripting. • Create and maintain structured knowledge content to support AI-assisted workflows, prompt libraries, and knowledge systems. • Triage and resolve technical and operational issues affecting program members. • Investigate problems, identify patterns, and drive root cause resolution. • Partner with stakeholders to define requirements and implement process improvements. • Design and iterate on AI-assisted support experiences, response templates, and knowledge-grounding strategies. • Track recurring issues and identify opportunities for automation and operational efficiency. • Contribute to internal tooling, documentation, and self-service experiences. • Continuously evaluate emerging AI tools and technologies that can improve workflows and increase scale.

Role Description We're launching a program for experienced engineers transitioning into system architecture roles. The curriculum is being built by a team of senior authors. What we need now is the person who brings it to life for students: - Host the live sessions - Review the work - Run the architecture review boards - Set the technical bar for the people supporting alongside you This is a teaching and review role. You'll be the senior technical presence the cohort learns from week to week. You'll: - Run live sessions and office hours - Give real architectural feedback on student deliverables - Act as the escalation point for a team of supporting instructors Your audience: experienced engineers leveling up to system architecture roles. Many already write production code daily. They will spot shallow feedback instantly, so the bar here is real seniority, not familiarity. Format: Async-first with scheduled live sessions. Live sessions and office hours are timed around a US-based cohort. Estimated 15 to 25 hrs/week. Please submit all resumes or CV's in English. Qualifications - 5+ years as a senior software/systems architect, platform engineer, or senior backend/infrastructure engineer - Has designed and shipped systems at scale in a real company, not just coursework or side projects - Depth across the architectural spine: system design, API and service architecture, cloud and infrastructure (AWS, Kubernetes, Terraform, CI/CD), and distributed systems - Can explain why a decision was made, not just how it was implemented, and can diagnose and critique someone else's architecture live - Strong technical communication: comfortable leading a live session and writing clear, specific review feedback - Strong English C1+ — instruction and review are in English for a US-based audience - Comfortable using AI tools in day-to-day technical work Requirements - Host weekly live sessions across the program, focused on the design and decision layer: where to split services, how systems scale and fail, which tradeoff to make and why - Run group office hours and 1:1 sessions for students working through projects and the capstone - Review student projects against rubrics: the architecture dossiers, deployed backends, cloud infrastructure, performance reports, security reviews, and the final distributed-system capstone - Give architectural feedback, not just pass/fail checks. Catch when a design decision is unsound, an interface is wrong, or a scope is unrealistic, and explain the better path - Run the mock architecture review boards and the simulated executive-panel presentations, and give structured, senior-level critique - Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point on design and architecture calls Benefits - Milestone-based payments tied to deliverables - Fully remote work with flexible hours - A digital office — we use modern tools (Notion, Miro, Slack, Figma) to keep collaboration smooth - Professional trust and autonomy — no micromanaging - The chance to see real impact: our metric is graduates landing jobs in tech - Join a diverse, international, and close-knit team excited to work with you

• Fine-tuning and evaluating LLMs (e.g., instruction tuning, prompt optimization, retrieval-augmented generation, and domain adaptation) on healthcare policy and operational data to improve accuracy, consistency, and explainability • Prototyping multi-agent systems • Integrating external tools (APIs, browsers, FHIR data) • Building feedback loops for continuous learning and governance