Proactive Hiring: ATOM Trainer
Focuses on agentic AI workflows and GitHub Copilot; centered on teaching AI-assisted coding and agent-based development practices.
About the Role
Contractor role delivering S&P Global's ATOM one-week, hands-on training to engineering teams, focused on agentic AI development and safe AI-assisted workflows. The trainer will run repeated virtual cohorts, refine curriculum, and ensure teams adopt AI-first practices across the SDLC.
Job Description
Role
ATOM Trainer (external contractor) delivering a repeatable, immersive one-week training program to engineering teams across S&P Global. The trainer is the face of the programme for each cohort, responsible for delivering virtual sessions, refining content, and ensuring the classroom experience connects to follow-on coaching and organisational best practices.
Engagement & Logistics
- Engagement type: External contractor / vendor-supplied trainer
- Commitment: Full-time, 100% dedicated to ATOM training delivery
- Duration: Initial engagement through end of 2026
- Delivery format: Virtual / remote
- Start date: April 2026 (training starts May 2026)
Key Responsibilities
- Deliver ATOM’s internally designed, immersive 1-week baseline training virtually across multiple cohorts.
- Run the same core programme repeatedly, incorporating learner feedback and coach observations to improve delivery.
- Teach teams to work across the SDLC with AI agents, covering foundation, planning, building, quality & security, and team ways of working.
- Evolve training content using a durable vs perishable learning model and stay current with rapidly changing tools.
- Partner with ATOM enablement and the SDLC Centre of Excellence to align training with internal technology strategy.
Week One Curriculum (overview)
- Day 1 — Foundation: Working with AI agents, context engineering, delegation, Copilot modes.
- Day 2 — Planning: Grounding AI output, reviewing AI-generated plans, token consumption, drafting user stories.
- Day 3 — Building: Evaluating generated code for clarity, correctness, security; handling agent failure modes.
- Day 4 — Quality & Security: Briefing agents on bugs, test quality, agent access boundaries, human escalation.
- Day 5 — Team Ways of Working: AI adoption retrospectives, AI-powered sprint practices, AI Champion role.
Requirements (Required)
- Excellent communication skills; ability to explain complex concepts clearly and warmly.
- Energetic, positive presence that supports learner confidence.
- Solid background in modern software development and SDLC practices.
- Genuine enthusiasm for teaching and coaching engineers.
- Willingness and ability to get up to speed quickly and stay current with AI tooling.
- High standards for quality, security, and responsible AI use.
- Ability to commit fully to the role with no competing project responsibilities.
Nice to Have
- Experience training, mentoring or coaching engineers professionally.
- Hands-on experience with AI coding assistants or agent-based development workflows.
- Familiarity with GitHub Copilot and its agentic capabilities.
- Comfort facilitating interactive, hands-on sessions rather than lecture-style delivery.
- Strong self-directed learning habits.
Why This Role Matters
ATOM training sets foundational patterns for AI-first working across the organisation; the quality of week one shapes long-term adoption. Trainers influence how engineers use AI agents responsibly and confidently, affecting judgement, quality, and speed of delivery across teams.