ATOM Trainer
Role Brief & Contractor Specification
The most important thing we're looking for: Someone who communicates with warmth, clarity and genuine enthusiasm. Technical grounding matters — but the ability to bring a room along, make people feel capable, and be an energising face for a key transformation program.
ATOM is S&P Global's enterprise-wide AI transformation programme, training 10,000 technologists in agentic software development practices. We are scaling rapidly — 13 teams begin training in May, 34 in June, 75 in July — and we need one dedicated, high-quality trainer to join our team of technologists to help deliver our intensive training week.
As an ATOM Trainer, you will be a face of this programme for each cohort. You will deliver the same core one-week training repeatedly across teams, refining it with each delivery, and working closely with the ATOM enablement team, internal technology SMEs, and coaches to ensure the classroom experience flows smoothly into the follow-on coaching journey and is aligned to current internal best practices.
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)
Reporting into
ATOM Programme / Cloud Engineering and Shared Services within Market Intelligence
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Deliver ATOM's internally designed 1-week baseline agentic skills training to engineering teams across the organisation — immersive, hands-on, virtually delivered
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Run the same core programme repeatedly across cohorts, improving the experience with each delivery
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Teach teams how to work effectively across the SDLC with AI agents, spanning five core modules:
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Foundation — working with AI agents, context engineering, understanding delegation
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Planning — grounding AI output, reviewing AI-generated plans, token consumption
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Building — evaluating generated code for quality, correctness and security
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Quality & Security — responsible AI use, agent access boundaries, human escalation
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Team Ways of Working — AI adoption retrospectives, AI-powered sprint practices
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Help us to evolve content using ATOM's durable vs. perishable learning model — stable conceptual skills alongside fast-updating tool workflows
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Incorporate learner feedback, coach observations, and real delivery scenarios into continuous improvements
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Partner with the ATOM enablement team and our SDLC Centre of Excellence to ensure training stays current and connects to wider technology strategy
Week One Curriculum Overview
The following gives a flavor of the current curriculum. Content evolves rapidly as tools develop — trainers are expected to stay current and contribute to updates actively.
Day 1 — Foundation Working with AI Agents
What AI coding agents do vs. automation vs. inline suggestions; context engineering vs. prompt engineering; Copilot modes (Ask, Edit, Agent) — when to use each; what makes work eligible for delegation; lab: reviewing a sample backlog
Day 2 — Planning Think with AI Agents
Grounding AI output in context produces better outcomes; reviewing and approving AI-generated plans is a human responsibility; recognising when plans need human redesign; token consumption; streamlining context and avoiding context rot; lab: drafting user stories with AI
Day 3 — Building Code with AI Agents
Evaluating generated code for clarity, correctness, security and maintainability; what to do when an agent gets stuck or loops; iterating on output; lab: giving Copilot a contradictory brief
Day 4 — Quality & Security Trust but Verify
Briefing agents on bugs with reproduction context; evaluating test quality beyond a passed check; agent access boundaries (MCP) are your responsibility, not the tool's; recognising when AI remediation is insufficient and human escalation is needed
Day 5 — Team Ways of Working Your AI-Powered Team
What ATOM AI Champions do; team retrospective on AI adoption; sneak peek at Silver capabilities; staying current with rapid change; Your First AI-Powered Sprint
Teaching philosophy: Week 1 introduces the patterns — coaching is where they become habits. The quality of this first week shapes how confidently teams approach AI-first working. Trainers set the tone.
Required
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Excellent communication skills — able to explain complex concepts clearly, patiently and with genuine warmth
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A good-vibes presence: you energise a room, bring people along, and make learners feel capable rather than overwhelmed
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Solid background in modern software development and SDLC practices
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Genuine enthusiasm for helping others learn — teaching is something you actively enjoy, not just tolerate
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Willingness to get up to speed fast and stay current in a rapidly evolving AI and tooling landscape
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High personal standards for quality, security and responsible AI use
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Ability to commit fully to this role with no competing project responsibilities
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Ability to get up to speed quickly with our internal tools and best practices, leveraging existing documentation and training modules
Nice to Have
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Experience training, mentoring or coaching engineers in a professional context
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Hands-on experience with AI coding assistants or agent-based development workflows
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Familiarity with GitHub Copilot — especially its agentic capabilities
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Comfort facilitating interactive, hands-on sessions rather than lecture-style delivery
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Strong self-directed learning habits — you don't wait to be told when tools have changed
ATOM training sets the foundation for how teams across S&P Global adopt AI-first ways of working. Week One introduces the patterns — coaching is where they become habits — and the quality of this first week shapes everything that follows.
As an ATOM Trainer, you will shape how engineers at S&P Global think about AI, build confidence in new ways of working, and help ensure that adoption improves judgment and quality, not just speed. You will be delivering to thousands of people. Your enthusiasm is contagious.
A note on fit: While GitHub Copilot skills are important for this role, we are not looking for the most technically advanced candidate. We are looking for someone who communicates exceptionally well, who is genuinely excited about this space, and who will be a brilliant and energising presence for teams going through real change, and will learn alongside us. If that's you, we'd love to hear from you.
