Manager AI Enablement And Automation

Collins Aerospace; Hyderabad; Hybrid; INR 4,000,000 - 8,000,000; Full time

Benefits offered by this job

Transportation facility

Meal coupons

Group Health Insurance

Vacation and sick leave

Employee scholar program

Work life balance

Car lease program

National Pension Scheme

Job summary

Collins Aerospace, Hyderabad, is seeking an Engineering Manager for AI Enablement & Automation to lead AI/ML and software teams, driving strategy from ideation to deployment and adoption. The role emphasizes leadership, technical depth, and delivering scalable AI-enabled solutions.

You will translate business needs into robust AI roadmaps, mentor engineers, and collaborate with global stakeholders to raise engineering productivity and outcomes.

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, or related STEM field; 10+ years engineering experience incl. leadership.
• Strong AI/ML, GenAI, and software engineering fundamentals.
• Experience delivering complex initiatives and influencing across teams.
• Excellent communication, problem-solving, and people leadership.
• Preferred: cloud, APIs, data platforms, CI/CD, and modern software engineering.
• Preferred: experience building AI capabilities/platforms in global engineering.

Responsibilities

• AI Strategy & Execution: translate AI strategy into priorities, plans, milestones, and measurable outcomes.
• Technical & Delivery Leadership: lead AI/ML, GenAI, automation, and software initiatives; guide technical decisions.
• People & Capability: develop engineers, build AI/GenAI and software capabilities, support hiring and performance management.
• Collaboration & Influence: partner with global engineering teams, architects, product owners, discipline leaders, and stakeholders to drive adoption.
• Innovation: focus on the right business problems; enable experimentation and scale successful solutions.
• Operational Excellence: establish engineering practices and metrics that improve adoption, productivity, quality, efficiency, and delivery.

Skills

AI/ML concepts

GenAI

Software engineering

Cross-functional leadership

People leadership

Cloud CI/CD

APIs

Data platforms

Global teams

Education

Bachelor's degree in Engineering/CS/Data Science

Job description

Job Description:

Date Posted

2026-10-19

Country

India

Location

IN-TS-HYDERABAD-B3F7 ~ DLF Cybercity Gachibowli ~ DLF CYBERCITY GACHIBOWLI-B3F7, 7th Fl in Block 3

Position Role Type

Hybrid

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

Engineering Manager – AI Enablement & Automation | M4

Job Summary

Lead a team of AI/ML and software engineering professionals developing AI-enabled solutions that improve engineering productivity and business outcomes. Own execution of the AI roadmap, translating business needs into scalable solutions from ideation → MVP → deployment → adoption. Balance people leadership, technical depth, execution, and innovation.

Key Responsibilities

• AI Strategy & Execution: Translate AI strategy into priorities, plans, milestones, and measurable outcomes; identify and prioritize high-value AI opportunities.
• Technical & Delivery Leadership: Lead AI/ML, GenAI, automation, and software initiatives; guide technical decisions and resolve complex cross-team challenges.
• People & Capability: Develop experienced engineers, build AI/GenAI and software capabilities, support hiring and performance management, and develop future technical leaders.
• Collaboration & Influence: Partner with global engineering teams, architects, product owners, discipline leaders, and business stakeholders to drive adoption and reuse.
• Innovation: Focus innovation on the right business and engineering problems; enable experimentation and scale successful solutions across the organization.
• Operational Excellence: Establish engineering practices and metrics that improve adoption, productivity, quality, efficiency, and delivery.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, or related STEM field with 10+ years of relevant engineering experience, including team leadership.
• Strong understanding of AI/ML, GenAI, software engineering, or related technologies.
• Experience delivering complex technical initiatives and influencing across teams.
• Strong communication, problem-solving, collaboration, and people leadership skills.
• Preferred
• Experience with cloud, APIs, data platforms, CI/CD, and modern software engineering.
• Experience building AI capabilities or platforms in a global engineering environment.

WE ARE REDEFINING AEROSPACE.

Some of our competitive benefits package includes:

• Transportation facility.
• Meal coupons
• Group Term Life Insurance.
• Group Health Insurance.
• Group Personal Accident Insurance.
• Entitled for 18 days of vacation and 12 days of sick leave annually.
• Employee scholar program
• Work life balance
• Car lease program
• National Pension Scheme
• LTA
• Fuel & Maintenance /Driver wages
• Meal vouchers
• And more!

Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other – propel us all higher, again and again.

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.