AI Engineering Enablement Manager

Work Schedule

Environmental Conditions

Job Description

How Will You Make an Impact

Enable the future of software development at Thermo Fisher by promoting automation in the SPDLC. Seeking a strategic technical leader with expertise in process innovation, AI integration, and platform engineering.

You will team up closely with engineers, leaders, and customers to identify and implement opportunities for automation and reusable assets. This involves completing new internal and external tools, processes, and successful methods – integrating them into actual workflows, and improving their impact through thoughtful organisational change and enablement strategies.

This position encompasses more than just engineering; it demands systems thinking, technical proficiency, and the capacity to lead implementation teams while crafting vision and adoption strategy.

What You Will Do

Management of AI Engineering Enablement Program

• Be responsible for the implementation of AI and automation tools to improve SDLC efficiency, incorporating the use of tools like ChatGPT Enterprise, Gene. AI, Atlassian Intelligence, Test Assist, and others.
• Complete implementation strategies within Business Units and teams for AI-powered SDLC automation initiatives.
• Identify high-friction phases of the SDLC and define automation opportunities using generative AI, LLMs, and internal agents.
• Coordinate multi-functional teams (R&D, IT, DFP, DevEx) to align automation capabilities with BU priorities.

Technical Enablement & Integration Support

• Serve as the technical point of contact for internal integrations using low-code, no-code, or custom solutions.
• Mentor engineering teams and integration engineers on how to connect AI-powered tools into SDLC workflows (e.g., planning, testing, bug triage).

Tool Operationalization & Community Engagement

• Serve as Product Owner for critical AI and automation projects that drive software transformation initiatives.
• Support the development and improvement of playbooks and guidelines for AI-powered developer enablement.

Strategy, Metrics, and Continuous Improvement

• Establish benchmarks and success criteria for automation pilots and scaled deployments (e.g., time saved, bugs caught, quality uplift).
• Conduct retrospectives and feedback loops with technical and business collaborators to improve approach and roadmap.
• Stay ahead of AI trends and propose strategic adjustments.

How You Get Here

Education:

• Bachelor’s degree/ equivalent experience in Computer Science, Engineering, Information Systems, or related technical field.

Experience:

• 5+ years in a role involving platform engineering, software development process improvement, or enterprise technology enablement.
• Familiarity with integrating AI/ML tools or enterprise SaaS solutions in development environments is a strong plus.

Knowledge, Skills & Abilities:

• Profound comprehension of the software product development lifecycle (including planning, coding, testing, deployment).
• Comfortable working with technical teams on concepts like APIs, automation triggers, and integration workflows (you won’t code, but you'll know what to ask for).
• Technical communicator who can articulate concepts to non-technical collaborators and vice versa.