Lead AI Solution Architect
Lead AI Solution Architect
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Job Description
Company:
Boeing India Private LimitedOverview
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. Boeings team is committed to innovating for the future leading with sustainability and cultivating a culture based on the companys 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 markets 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 peoples 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 anLead AI Solution Architect Digital Aviation Solutionswith a minimum of 14 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 Factorya 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 Bachelors degree or higher in Engineering is required as a BASIC QUALIFICATION .
14 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:
Bachelors degree or higher in Computer Science Information Technology or a related field with 14 years of relevant work experience. Masters degree with 13 years experience
Relocation:
This position offers relocation based on candidate eligibility.
Language Requirements:
Not ApplicableEducation:
Bachelors Degree or EquivalentRelocation:
This position offers relocation based on candidate eligibility.Security Clearance:
This position does not require a Security Clearance.Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.Contingent Upon Award Program
This position is not contingent upon program awardShift:
Not a Shift Worker (India)Employment Type
Full-Time
