AI Engineering Enablement Manager at Thermo Fisher Scientific

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Life Sciences, BiotechnologyIndustries

Requirements

Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or related technical field
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 (strong plus)
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 (won’t code, but know what to ask for)
Technical communicator who can articulate concepts to non-technical collaborators and vice versa

Responsibilities

Manage the AI Engineering Enablement Program
Implement AI and automation tools (e.g., ChatGPT Enterprise, Gene.AI, Atlassian Intelligence, Test Assist) to improve SDLC efficiency
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
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 connecting AI-powered tools into SDLC workflows (e.g., planning, testing, bug triage)
Serve as Product Owner for critical AI and automation projects driving software transformation initiatives
Support the development and improvement of playbooks and guidelines for AI-powered developer enablement
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

Skills

Key technologies and capabilities for this role

AI IntegrationPlatform EngineeringSDLC AutomationGenerative AILLMsChatGPT EnterpriseAtlassian IntelligenceLow-CodeNo-CodeProcess InnovationSystems Thinking

Questions & Answers

Common questions about this position

What experience is required for the AI Engineering Enablement Manager role?

Candidates need 5+ years in a role involving platform engineering, software development process improvement, or enterprise technology enablement, plus a Bachelor’s degree or equivalent experience in Computer Science, Engineering, Information Systems, or a related technical field.

What key skills and knowledge are needed for this position?

Profound comprehension of the software product development lifecycle (including planning, coding, testing, deployment) is required, along with familiarity with integrating AI/ML tools or enterprise SaaS solutions in development environments as a strong plus.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this AI Engineering Enablement Manager position?

A strong candidate will have expertise in process innovation, AI integration, platform engineering, systems thinking, technical proficiency, and the ability to lead implementation teams while crafting vision and adoption strategy.

Thermo Fisher Scientific

Provides life sciences products and services

About Thermo Fisher Scientific

Thermo Fisher Scientific offers a variety of products and services that support scientific research and healthcare, including laboratory equipment, reagents, and software solutions. Their products are used in applications like protein biology, real-time PCR, and sequencing, serving clients such as academic institutions and pharmaceutical companies. Unlike competitors, Thermo Fisher emphasizes customer support and education, helping clients optimize their experiments. The company's goal is to be a leading provider of life sciences solutions that contribute to a healthier and safer world.

Waltham, MassachusettsHeadquarters

1956Year Founded

$17MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Increased competition in single-use bioprocessing may impact market share.

Sale of anatomical pathology business could create a temporary product gap.

Investment in miDiagnostics may face regulatory challenges affecting returns.

Differentiation

Thermo Fisher offers a comprehensive range of life sciences products and services.

Their well-known brands include Thermo Scientific, Applied Biosystems, and Invitrogen.

They provide strong customer support and educational resources to optimize client workflows.

Upsides

Expansion of biologics production facility enhances capacity for precision biologics monitoring.

Investment in miDiagnostics aligns with demand for rapid diagnostic solutions in BioPharma.

Collaboration with Mainz Biomed positions them in the growing cancer detection market.

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