Role Summary

DevEx is accelerating AI-driven developer productivity, automation, and reusable knowledge across the enterprise. We're hiring an MS Copilot Studio / GitHub Copilot Enablement Engineer to serve as the enterprise SME for Microsoft Copilot solutions (Copilot Studio, M365 Copilot) and GitHub Copilot. You will drive adoption, training, and responsible-AI guardrails across delivery teams.

You'll design role-based learning paths, encourage reusable Copilot prompts and automations, build insights dashboards, and lead enablement programs to ensure safe, scalable, high-value usage across Bank of America. This role requires a proactive, passionate self-starter who can evangelize AI-assistive development, partner with engineering leads, and guide teams in transforming their workflows using Copilot.

Key Responsibilities

- Platform SME (MS Copilot Studio / GitHub Copilot / M365 Copilot)

· Serve as the go-to expert for Copilot capabilities: prompt engineering, copilots/agents creation, connectors, grounding data, and security configurations.

· Guide development teams on GitHub Copilot usage: code suggestions, PR summarization, unit test generation, chat-based assistance, and repository-level best practices.

· Translate AI features into business-relevant use cases (e.g., automated knowledge bots, dev-task assistants, content summarizers, workflow copilots).

· Evaluate new features, preview releases, and work with MSFT/GitHub partners to align platform roadmap with enterprise needs.

- Training & Enablement

· Build and deliver role-based learning paths for Developers, Product Owners, Architects, Scrum Masters, Analysts, SMEs, Moderators, and Site Admins.

· Run hands-on labs, Copilot clinics, prompt-engineering workshops, "AI at Work" demos, and structured office hours.

· Create templates: prompt libraries, persona-based copilots, reusable flows, and development accelerators.

· Enable a Network of Champions across GBS IND; mentor them on responsible use, prompt crafting, GitHub Copilot efficiency, and Copilot Studio bot lifecycle.

· Produce learning assets: step-by-step guides, prompt design checklists, copilots maintenance playbooks, and self-serve video bytes.

- Governance, Quality & Knowledge Management

· Define operational standards for Copilot Studio bot lifecycle:



design → testing → deployment → monitoring → retirement.

· Partner with Controls, Cyber, and Compliance teams on DLP enforcement, RAI guidelines, tenant configuration, and code safety when using GitHub Copilot.

· Implement quality checks for Copilot-generated outputs, encourage grounded prompts, and enforce usage patterns that reduce hallucinations.

· Maintain catalogs of approved connectors, allowed repositories, and sanctioned use cases.

- Communication & Change Management

· Craft platform communications: launch announcements, adoption playbooks, FAQs, Teams posts, newsletters, "What's New" feature updates.

· Run awareness and adoption campaigns (Copilot Onboarding Waves, Build-With-AI Week, Recognition Programs, Prompt-a-thon / Copilot-a-thon).

· Present program status, adoption insights, risks, and operational recommendations to technical and non-technical leadership.

· Partner with Product/Engineering chapters to drive consistent Copilot practices across teams.

- Insights & Continuous Improvement

· Define and track KPIs for Copilot usage: – active users %, – prompts/queries per user, – code acceptance ratio (GitHub Copilot), – automation success rate (Studio), – grounded vs. ungrounded prompts.

· Analyze usage patterns to identify high-value opportunity areas and generate recommendations for improvement.

· Gather feedback, run sentiment surveys, and continuously refine training, taxonomy, bot design, and enablement strategy.

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Required Qualifications

· 10+ years in developer experience, AI enablement, automation platforms, DevOps tooling, or technology adoption programs.

· Hands-on experience with MS Copilot Studio, GitHub Copilot, or M365 Copilot as SME or key enablement owner.

· Robust understanding of prompt engineering, conversational AI design, grounding data, connectors, and responsible AI considerations.





· Experience leading enterprise-wide training and enablement for technical audiences.

· Excellent documentation and communication skills: simplifying complex AI concepts for various audiences.

· Ability to collaborate across delivery teams and influence without authority.

· Limited programming background (Java / .Net / Python) with earlier hands-on experience.

Preferred Qualifications

· Familiarity with GBS IND collaboration tools (GitHub, Jira/Azure Boards, Teams, Confluence, SharePoint).

· Exposure to analytics (Power BI/Tableau) for insights and dashboarding.

· Understanding of AI governance, RAI guidelines, secrets hygiene, and code licensing considerations.

· Knowledge of automation tools (Power Platform, Azure OpenAI, Bots, Conversational AI).

· Certifications (nice-to-have): – AI & Prompt Engineering, – Knowledge Management, – Agile/Scrum.

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Core Skills & Competencies

· Copilot Platform Expertise: Copilot Studio bot creation, connectors, system prompts, grounding, GitHub Copilot workflows.

· Prompt Engineering: structured prompting, reusable templates, grounding strategies, persona modeling.

· Enablement & Training: workshops, role-based curricula, microlearning, hands-on coaching.

· Communication Excellence: storytelling, simplified explanations, crisp executive summaries.

· Programming: Hands-on exposure to Java / .Net / Python (foundation to utilize GitHub Copilot effectively).

· Analytics Mindset: KPI design, telemetry interpretation, usage insights.

· Stakeholder Management: engaging dev teams, building champions networks, cross-functional influence.

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Success Metrics (KPIs)

· Adoption & Engagement: – Active user % (Copilot Studio / GitHub Copilot / M365 Copilot) – Prompts per week – Bot usage & automation triggers

· Developer Productivity: – GitHub Copilot code acceptance rate

– Time saved per scenario – PR review cycle improvements

· Knowledge & Governance Health: – Model grounding adherence – Policy violations reduction – Connector and bot lifecycle compliance

· Enablement Impact: – Training participation % – Feedback score – Champion network growth

· User Sentiment: – Satisfaction surveys – Qualitative adoption feedback

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