Lead Engineer-AI

Role: Lead Engineer-AI

Location: Hyderabad

Full/ Part-time: Full Time

About Carrier

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort,safetyand sustainability to life. Throughcutting-edgeadvancements in climate solutions such as temperature control, airqualityand transportation, we improve lives, empower criticalindustriesand ensure safe transport of food, life-saving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at thecenterofeverything we do. For more information, visitcorporate.carrier.comor follow Carrier on social media at @Carrier.

About the role

We are seeking an experienced Senior Lead to drive AI-powered engineering transformation across the Software Development Life Cycle (SDLC). The ideal candidate will lead the design, development, adoption, and governance of enterprise-scale AI accelerators that improve software productivity, quality, modernization, knowledge management, and engineering efficiency.

The role involves building and scaling AI-driven platforms, collaborating with business units and engineering organizations, driving technology modernization programs, and establishing best practices for AI adoption across global teams. This position will work closely with architects, product teams, engineering leaders, cloud providers, and external technology partners to shape the future of AI-enabled engineering.

Responsibilities

AI Product & Platform

• Development and enhancement of AI-powered engineering platforms and accelerators.

• Drive the roadmap for solutions supporting requirements management, software design, coding, testing, knowledge management, and software modernization.

• Define reusable architectures, frameworks, and engineering standards for AI-enabled platforms.

• Evaluate emerging technologies and AI tools to accelerate engineering productivity.

Software Productivity & SDLC Transformation

• Implement AI solutions across the end-to-end V-Model / SDLC lifecycle.

• Establish developer productivity initiatives using AI coding assistants and engineering accelerators.

• Design and deploy solutions for:

  • Intelligent Requirements Engineering

  • AI-assisted Architecture & Design

  • AI-powered Code Generation & Analysis

  • Automated Testing & Validation

  • Knowledge Discovery & Enterprise Search

  • DevOps & Operations Automation

Engineering Modernization

• Lead application modernization initiatives including:

  • Legacy code understanding

  • Platform migration

  • Technology upgrades

  • Re-platforming programs

• Develop AI-based approaches for modernization assessment and execution.

• Create engineering insights and diagnostics for software health, technical debt, and performance optimization.

AI Governance & Adoption

• Establish AI governance frameworks, guardrails, and best practices.

• Collaborate with security, legal, compliance, and enterprise architecture teams.

• Define responsible AI adoption processes and maturity models.

• Measure and report productivity savings, quality improvements, and business impact.

Stakeholder & BU Engagement

• Partner with business units and engineering organizations to identify AI transformation opportunities.

• Conduct workshops, ideation sessions, technical reviews, and solution assessments.

• Present architecture recommendations and productivity insights to senior leadership.

• Build strategic partnerships with technology vendors, hyperscalers, and ecosystem partners.

Team Leadership

• Lead and mentor lead engineers, software engineers, and AI specialists.

• Drive technical excellence, innovation culture, and continuous learning.

• Support talent development, career progression, and succession planning.

• Foster a data-driven and outcome-oriented engineering culture.

Requirements

• Experience building enterprise AI products or internal engineering platforms.

• Experience working with global engineering teams and multiple business units.

• Master's degree in Computer Science, AI, Data Science, Engineering, or related discipline.

Benefits

We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary. 

• Make yourself a priority with flexible schedules, parental leave  
• Drive forward your career through professional development opportunities 
• Achieve your personal goals with our Employee Assistance Programme 

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way. 

Join us and make a difference. 

Apply Now!