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Lead Engineer - AI/ML

RTX (Raytheon)

Lead Engineer - AI/ML

RTX (Raytheon)

IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Commuter Benefits

Free Meals

Work life balance

Learning Budget

Parental Leave

Healthcare

Commuter

Meals

Learning

Parental Leave

Required Skills

Python

PyTorch

TensorFlow

OpenCV

Agentic AI

.NET

Date Posted:

2026-02-23

Country:

India

Location:

IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli

Position Role Type:

Hybrid

Job Title : Lead Engineer

  • AI/ML

Overview of group:

Advanced Technology team drives and supports the development and innovation of various Interiors products from the feasibility study through to a prototype development. Besides product development, the group also leads various methodology development activities within Interiors. The team is continuously engaged in projects on diverse domains like Mechanical & Electro-Mechanical designs, AI/ML, Structures and Fluid simulation, Interaction studies, System Engineering, Materials, Processes, and Automation etc.

Responsibilities:

  • Lead deployment, troubleshooting, and lifecycle support of computer vision–based perception systems in production and field environments.

  • Design and implement Agentic AI systems, including multi-agent workflows, tool-using agents, planning, memory, and orchestration.

  • Develop and productionize object detection, segmentation, and visual inspection models with scalability and robustness.

  • Build and integrate GenAI-enabled applications (LLMs, vision-language models) for diagnostics, configuration, and automation.

  • Package AI models into production-ready applications using Web UI frameworks and .NET-based platforms.

  • Design and manage node/graph-based AI pipelines integrating models, tools, and business logic.

  • Integrate AI solutions with cloud platforms (Azure preferred), enabling monitoring, logging, and MLOps.

  • Collaborate with cross-functional teams to deliver maintainable, scalable, and certifiable AI systems.

Qualification and Experience:

  • Bachelor’s/ Master’s in computer science, Electronics, Mechatronics, or AI/ML

  • 5–7 years of experience delivering production AI / Computer Vision systems (strong focus on deployment).

Skills:

  • Strong experience with Agentic AI frameworks and agent modeling patterns.

  • Proficiency in Python, Py Torch/Tensor Flow, OpenCV, and GPU-based inference/training.

  • Experience building Web-based UIs for AI systems and integrating models using .NET platforms.

  • Exposure to iOS app development for deploying or consuming vision models is a strong plus.

  • Experience with GenAI/LLMs, tool usage, and real-world integration.

  • Familiarity with node-graph / workflow orchestration concepts.

  • Cloud experience (Azure preferred) and MLOps fundamentals.

  • Strong systems thinking, debugging skills, and clear communication; comfortable owning solutions end-to-end.

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

Aerostructures:

Collins Aerospace’s Aerostructures business is a world leader in the design, manufacture, integration and support of nacelles -- the aerodynamic structures which house aircraft engines. Our nacelle technologies improve fuel efficiency, reduce engine noise and supply critical stopping power when an airplane lands. Today, our innovative nacelle systems are featured on many of the world’s newest and most game-changing commercial, regional and business jet platforms. And we’re not stopping there: we’re working hard to create the next generation of nacelles that are greener, quieter and more efficient. In addition, our Engineered Polymer Products division is a leading developer and manufacturer of advanced, high-performance composite and elastomeric structures and products for marine applications. Whether in the air or underwater, we’re pushing the limits of innovation. Want to join us on this important journey?

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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About RTX (Raytheon)

Arlington

Headquarters

Reviews

3.9

5 reviews

Work Life Balance

4.0

Compensation

3.2

Culture

3.5

Career

4.3

Management

3.0

Pros

Good benefits and job security

Career growth and advancement opportunities

Diverse programs and experiences

Cons

Low/uncompetitive pay and small raises

Traditional/rigid work culture

Management and organizational issues

Salary Ranges

3,407 data points

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Junior/L3 · Systems Engineer

717 reports

$113,965

total / year

Base

$109,834

Stock

-

Bonus

$4,131

$83,866

$155,631

Interview Experience

7 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

43%

Experience

Positive 29%

Neutral 43%

Negative 28%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Hiring Manager Interview

5

Panel Interview

6

Offer

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

System Design