Proactive Hiring: ATOM Trainer

ATOM Trainer 
Role Brief & Contractor Specification 
ATOM Training Academy 

 
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. 

 
About ATOM & This Role 

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.
 
 
Role at a Glance 

 
Field 
Detail 

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 

 
What You'll Be Doing 

Deliver ATOM's internally designed 1-week baseline agentic skills training to engineering teams across the organisation — immersive, hands-on, virtually delivered
Run the same core programme repeatedly across cohorts, improving the experience with each delivery
Teach teams how to work effectively across the SDLC with AI agents, spanning five core modules:
Foundation — working with AI agents, context engineering, understanding delegation 
Planning — grounding AI output, reviewing AI-generated plans, token consumption 
Building — evaluating generated code for quality, correctness and security 
Quality & Security — responsible AI use, agent access boundaries, human escalation 
Team Ways of Working — AI adoption retrospectives, AI-powered sprint practices 
Help us to evolve content using ATOM's durable vs. perishable learning model — stable conceptual skills alongside fast-updating tool workflows
Incorporate learner feedback, coach observations, and real delivery scenarios into continuous improvements
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 / Module 
Focus Areas 

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. 

 
What We're Looking For 

Required 
Excellent communication skills — able to explain complex concepts clearly, patiently and with genuine warmth
A good-vibes presence: you energise a room, bring people along, and make learners feel capable rather than overwhelmed
Solid background in modern software development and SDLC practices
Genuine enthusiasm for helping others learn — teaching is something you actively enjoy, not just tolerate
Willingness to get up to speed fast and stay current in a rapidly evolving AI and tooling landscape
High personal standards for quality, security and responsible AI use
Ability to commit fully to this role with no competing project responsibilities
Ability to get up to speed quickly with our internal tools and best practices, leveraging existing documentation and training modules
 
Nice to Have 
Experience training, mentoring or coaching engineers in a professional context
Hands-on experience with AI coding assistants or agent-based development workflows
Familiarity with GitHub Copilot — especially its agentic capabilities
Comfort facilitating interactive, hands-on sessions rather than lecture-style delivery
Strong self-directed learning habits — you don't wait to be told when tools have changed
 
Why This Role Matters 

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.