At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Overview
As a leading global aerospace company, Boeing develops, manufactures, and services commercial airplanes, defense products, and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability, and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality, and integrity.
Technology for today and tomorrow
The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global spanets, leveraging new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.
People-driven culture
At Boeing, we believe creativity and innovation thrive when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing.
With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.
Position Overview:
Boeing India Engineering & Technology Center (BIETC) is seeking an Lead AI Architect – Digital Aviation Solutions with a minimum of 12 years of experience in AI/ML, including 5+ years in an architectural role. The ideal candidate will lead the design and implementation of advanced AI solutions that enhance aviation operations and customer experiences, driving digital transformation in aviation.
Position Responsibilities:
Lead design and technical direction, establishing AI/ML solutions and fostering a culture of innovation.
Architect and build the AI Factory—a centralized repository of reusable models, GenAI prompts, agents, pipelines, APIs, and accelerators.
Design and implement robust, scalable AI solutions and platforms to support multi-step reasoning and traditional ML workloads.
Evaluate and implement emerging technologies, including LLMs, vector databases, and orchestration frameworks.
Collaborate with product owners, engineers, and data scientists to deliver AI-first solutions that align with business strategy.
Core Responsibilities:
AI/ML Platform Architecture
Design scalable, cloud-native solutions using platforms like Dataiku, SageMaker, Databricks, and services from AWS, Azure, or GCP.
Integrate traditional ML, LLMs, Retrieval-Augmented Generation (RAG), and agent-based systems into digital aviation solutions.
Ensure ethical and responsible AI implementation by establishing governance frameworks.
Engineering & MLOps/LLMOps
Architect CI/CD pipelines for AI/ML using Azure DevOps, GitLab, Docker, and Kubernetes.
Implement observability and monitoring solutions, including model drift and versioning.
Cross-Team Enablement
Serve as a technical advisor to teams across aviation, including data scientists and AI engineers.
Create and maintain reusable SDKs, onboarding kits, and architecture templates to drive adoption.
Basic Qualifications (Required Skills/Experience):
A bachelor’s degree (B.Tech) or higher is REQUIRED.
12+ years in AI/ML with 5+ years in an architectural role.
Proven experience in developing and scaling AI/ML solutions and platforms from zero to production.
Expert level proficiency in Python, SQL, and machine learning frameworks such as PyTorch and scikit-learn.
Strong expertise in cloud environments (AWS, Azure, or GCP) and Databricks.
Preferred Qualifications (Desired Skills/Experience):
Strong leadership and mentorship experience across multi-disciplinary teams.
Ability to translate complex AI concepts into actionable, business-aligned solutions.
Experience with AI-driven geospatial analysis and working with aviation-specific datasets is a plus.
Typical Education & Experience:
Bachelor’s degree or higher in Computer Science, Information Technology, or a related field, with 12+ years of relevant work experience. Masters degree with 11+ years experience
Relocation:
Applications for this position will be accepted until Jul. 04, 2025
Export Control Requirements: This is not an Export Control position.
Education
Bachelors Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
Not a Shift Worker (India)
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
