The Job

AI Adoption Lead - Software Delivery

Technology, Data & Digital · Software & Web Development · Software Engineering · DevOps · Data Science

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In short

As an AI Adoption Lead for Software Delivery, you will drive the adoption of AI-assisted and agentic engineering across all software delivery teams. This role requires strong leadership, communication, and technical credibility to influence change, demonstrate value, and foster a community of AI practitioners. You will be instrumental in integrating AI into the daily work of developers, product owners, business analysts, and testers, establishing standards, and measuring impact.

Responsibilities

  • Lead the division-wide adoption of AI-assisted and agentic engineering across all software delivery teams.
  • Create and lead the Compressor Technique Aftermarket AI community of practice, organizing demos, showcases, hackathons, and lunch sessions.
  • Develop use cases and language tailored for non-developers (product owners, business analysts, test engineers, designers, support).
  • Build prototypes, demos, and reference implementations to showcase AI capabilities.
  • Foster contributor growth, enabling teams to create and share their own AI assets.
  • Design and deliver training (online/classroom) and provide one-on-one coaching.
  • Define and roll out standards and governance for AI-assisted work, ensuring alignment with security, compliance, and data policies.
  • Establish a measurement framework to track adoption, productivity, quality, and ROI.
  • Track the AI tooling landscape, evaluating new investments and technologies.

Requirements

  • Proven track record of changing how other people work, potentially through a community of practice, internal enablement program, or guild.
  • Ability to explain agentic working effectively to diverse technical and non-technical audiences.
  • At least 5 years of production-level software development and delivery experience.
  • Hands-on experience with more than one technology stack (e.g., .NET, Python, Matlab, Flutter, data, embedded) sufficient to build prototypes and understand codebases.
  • Demonstrated practical use of AI coding/agentic tools (Copilot, Claude, Codex, or equivalent) on real delivery work.
  • Understanding of AI agent cost models and security implications.
  • Familiarity with the full SDLC, governance, security, and compliance considerations.
  • Fluent English communication skills.

Desired Qualifications

  • Experience with Databricks, Azure, Flutter, Matlab, or embedded/firmware environments.
  • Exposure to ML/agent workflows and evaluating models and tooling.
  • Experience creating consumable training materials such as internal talks, workshops, written guides, or short videos.

Benefits

  • International and diverse work environment with specialists from different disciplines.
  • Culture rooted in Swedish values: family feeling, respect, and diversity.
  • Investment in employee development and well-being.
  • Flexible work-life balance.
  • Supportive and inspiring inclusive environment.
  • Comprehensive onboarding program with a personal godmother/godfather.
  • Access to global career opportunities within Atlas Copco Group.
  • Competitive compensation and benefits package.
  • Health insurance.
  • Paid leave.
  • Retirement benefits.
#AI#Software Delivery#Engineering#Adoption Lead#Transformation
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Company

Atlas Copco

Job Posted

1 day ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Senior

Locations

Wilrijk, Belgium

Applicants

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