Ai Coach

Brooksource

Minnesota

On-site

USD 120,000 - 170,000

Full time

48 hours ago
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Job summary

Brooksource in the United States is seeking an experienced AI Coach to drive AI adoption across engineering teams. This role partners with engineers to guide the use of enterprise AI tools, validate AI-enabled delivery practices, and ensure governance.

The ideal candidate blends software engineering with hands-on experience in AI-assisted development tools such as GitHub Copilot and Microsoft 365 Copilot, helping teams raise productivity and deliver repeatable AI adoption patterns across the

Qualifications

  • 3+ years of experience in software engineering, solution architecture, or technical consulting.
  • Hands-on experience utilizing AI-assisted development tools.
  • Experience with AI-powered coding assistants such as GitHub Copilot, Microsoft 365 Copilot, or similar GenAI platforms.
  • Strong understanding of software development lifecycle (SDLC) practices and engineering workflows.

Responsibilities

  • Partner with engineering teams to assess, coach, and validate AI-enabled software delivery practices.
  • Evaluate team AI maturity and adoption against AI delivery lifecycle criteria.
  • Review delivery evidence, telemetry, and usage data to measure AI tool effectiveness and adoption.
  • Facilitate discussions with engineering teams to identify opportunities for increased AI utilization and productivity gains.
  • Provide guidance on enterprise AI governance, approved AI tools, agents, plugins, and responsible AI usage.

Skills

Software engineering
AI tooling
Communication
Independence / ambiguity navigation

Tools

GitHub Copilot
Microsoft 365 Copilot
GenAI platforms

Job description

We are seeking an experienced AI Coach to help drive and validate AI adoption across engineering teams. This role will serve as a strategic and hands‑on partner, guiding teams in the effective use of enterprise‑approved AI tools, validating AI‑enabled delivery practices, and ensuring compliance with AI governance standards.

The ideal candidate combines a strong software engineering background with practical experience leveraging AI‑powered development tools such as GitHub Copilot, Microsoft 365 Copilot, and other enterprise AI platforms. This individual will help teams maximize productivity, improve delivery outcomes, and establish repeatable AI adoption best practices across the organization.

Key Responsibilities
AI Adoption & Coaching
  • Partner with engineering teams to assess, coach, and validate AI‑enabled software delivery practices.
  • Evaluate team AI maturity and adoption against established AI delivery lifecycle (AI‑DLC) criteria.
  • Review delivery evidence, telemetry, and usage data to measure AI tool effectiveness and adoption.
  • Facilitate discussions with engineering teams to identify opportunities for increased AI utilization and productivity gains.
  • Provide guidance on enterprise AI governance, approved AI tools, agents, plugins, and responsible AI usage.
Validation & Certification
  • Validate self‑assessed AI certification levels using objective evidence, delivery artifacts, and structured review processes.
  • Develop and refine repeatable frameworks for measuring AI adoption and engineering productivity.
  • Support pilot programs designed to expand AI adoption across business units.
  • Assist with ongoing certification and revalidation processes to ensure sustainable AI practices.
AI Tool Testing & Optimization
  • Install, configure, and evaluate enterprise AI tools, agents, and plugins in pre‑release and production environments.
  • Execute testing scenarios, document findings, validate fixes, and provide structured feedback to product owners.
  • Help define and improve technical assessment, governance, and certification standards.
Metrics & Reporting
  • Automate collection of adoption and performance metrics where possible.
  • Analyze delivery outcomes and identify opportunities for continuous improvement.
  • Provide actionable recommendations to leadership regarding AI effectiveness and usage trends.
Required Qualifications
  • 3+ years of experience in software engineering, solution architecture, or technical consulting.
  • Hands‑on experience utilizing AI‑assisted development tools within day‑to‑day software delivery.
  • Experience with AI‑powered coding assistants such as GitHub Copilot, Microsoft 365 Copilot, or similar GenAI platforms.
  • Strong understanding of software development lifecycle (SDLC) practices and engineering workflows.
  • Ability to analyze telemetry, usage metrics, and delivery artifacts to assess performance and adoption.
  • Excellent communication skills with the ability to influence technical teams and stakeholders.
  • Ability to work independently and navigate ambiguity in a fast‑evolving AI environment.
  • Experience balancing automated measurements with qualitative assessments and coaching conversations.
Preferred Qualifications
  • Experience working with multiple AI platforms rather than a single vendor ecosystem.
  • Exposure to cloud‑native and agent‑based development workflows.
  • Background in software quality assurance, release testing, regression testing, or production validation.
  • Experience developing governance, certification, compliance, or assessment frameworks.
  • Strong understanding of AI governance, risk management, and responsible AI principles.
  • Experience driving organizational change and adoption of emerging technologies.
  • Ability to translate technical concepts into practical business outcomes.
Enterprise AI Expectations

Successful candidates will demonstrate active and ongoing use of AI technologies, including:

  • Consistent utilization of enterprise‑approved AI platforms.
  • Leveraging AI to improve software development, documentation, analysis, and decision‑making processes.
  • Commitment to continuous learning and staying current with emerging AI capabilities and best practices.
  • Passion for helping teams improve productivity, quality, and delivery velocity through AI‑enabled workflows.
Disclaimer

Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

EEO

We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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