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, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and 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 the center of  everything we do. For more information, visit corporate.carrier.com or 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 enh…