About the Role
The position contributes to advancing aerospace technologies through the development of AI/ML solutions, working within a collaborative engineering center that applies cutting-edge technologies to global engineering challenges.
Responsibilities
- Develop and implement dependable, scalable artificial intelligence and machine learning systems aligned with strategic business outcomes
- Lead the design and deployment of high-performance, cloud-native ML architectures using platforms such as AWS, Azure, or GCP, incorporating MLOps and AIOps practices
- Construct, train, and refine machine learning models to ensure precision, performance, and scalability
- Partner with data engineers, data scientists, software developers, and DevOps specialists to integrate ML models into production environments
- Evaluate and propose machine learning tools, frameworks, and platforms that drive innovation and deliver measurable business impact
- Design and implement Generative AI applications, including large language models, retrieval-augmented generation, agentic workflows, multimodal AI, fine-tuning techniques, vector databases, and prompt engineering
- Develop and enhance CI/CD pipelines to support fast, consistent, and automated software delivery
- Automate infrastructure provisioning, configuration management, and monitoring tasks using tools such as Terraform or Ansible
- Collaborate with development teams to embed DevOps and MLOps methodologies into the software lifecycle and support containerized deployments using Docker and Kubernetes
- Manage communication channels for project execution, providing regular updates to stakeholders, leadership, and cross-functional teams
- Build and maintain relationships with technology vendors, consulting partners, and internal teams, ensuring accountability and alignment
Work Arrangement
Hybrid
Team
Collaborative engineering environment integrating AI/ML into aerospace systems with cross-functional teams and external partners
Technology for today and tomorrow
The Boeing India Engineering & Technology Center (BIETC) hosts over 5,500 engineers focused on advancing aerospace through research, innovation, and high-quality engineering. The center leverages emerging technologies including AI/ML, Industrial Internet of Things, cloud computing, model-based engineering, and additive manufacturing to shape the future of aviation and space systems.
People-driven culture
The organization fosters a culture where employees are trusted, empowered, and encouraged to grow, learn, and innovate. Flexible work arrangements support professional development, while in-person collaboration ensures diverse perspectives are heard and valued. Commitment to employee wellbeing and career growth is central to the workplace philosophy.
Typical Education & Experience
Typically requires a Bachelor’s degree with at least nine years of relevant experience, or a Master’s degree with eight or more years of equivalent experience, combining education and professional background.
Language Requirements
Not Applicable
Other
- Relocation will be provided within India.
- This position does not require a Security Clearance.
- Employer will not sponsor applicants for employment visa status.
- This position is not contingent upon program award
- Shift: Not a Shift Worker (India)
Employer will not sponsor applicants for employment visa status
