Engineering Manager

Date Posted:

2026-09-16

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 12+ 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. 

                                                                                                               

Apply now and be part of the team that’s redefining aerospace, every day

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.  

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