About the role
Date Posted
2026-09-21 Country
India Location
IN-TS-HYDERABAD-B3F7 ~ DLF Cybercity Gachibowli ~ DLF CYBERCITY GACHIBOWLI-B3F7, 7th Fl in Block 3 Position Role Type
Hybrid
About the Role
We are looking for a Senior lead Engineer, Applied AI who thrives at the intersection of cutting-edge trends in different modalities of Artificial Intelligence (AI) and real-world impact in various business units of Collins Aerospace. In this role, you’ll transform various innovations in AI, including but not limited to Generative AI or Agentic workflows, into production-grade applications that deliver measurable business and operational value.
You’ll work across the full development cycle—from experimenting with state-of-the-art AI techniques to deploying applications and frequently demoing to stakeholders via incremental demoes. This is a highly hands-on position where you’ll design, build, and own the systems you create, ensuring that each deliverable is both technically robust and value-validated in production.
Key Responsibilities
End-to-End Ownership: Lead the full lifecycle of AI feature development from research, prototyping to production and continuous improvement with feedback from stakeholders for value extraction.
Applied AI driven solution/pipeline development: Design, develop, and operationalize applications that leverage diverse modalities such as text, vision, and structured data by applying various techniques and utilize frameworks that support developing identified techniques.
Rapid Prototyping to Production: Develop iterative prototypes to validate AI concepts and regularly demo them to stakeholders via moving the prototype to production, gather feedback and translate the work into measurable value uplift with continuous improvements.
System Integration: Engineer reliable back-end and front-end services and integrate solution with enterprise services for cyber and legal compliance.
Automation & MLOps: Implement experiment tracking, model versioning, and CI/CD pipelines for seamless progression from experiments to stable releases.
Cross-functional Value Delivery: Collaborate with product teams, research teams and domain experts to identify high-impact us…
