AI Engineer collaborating with AI recruiters Alex and Mila to connect candidates to suitable job opportunities. Handling important communication and application processes effectively.
About the role
- Senior Engineer providing technical leadership for AI-powered applications at Collins Aerospace. Leading projects from conception to production with a focus on AI, full-stack development, and emerging technologies.
Responsibilities
- Lead end-to-end delivery of AI-powered applications, from problem framing and system architecture to development, deployment, and operationalization.
- Design and build agentic AI systems, AI copilots, and intelligent automation platforms that integrate deeply into engineering workflows.
- Own production readiness: scalability, reliability, security, monitoring, and lifecycle management of AI-enabled systems.
- Architect full-stack solutions including APIs, backend services, data pipelines, and user-facing interfaces for AI-driven platforms.
- Guide teams in moving beyond demos by establishing deployment patterns, MLOps pipelines, and reusable platform components.
- Collaborate with global stakeholders to drive alignment, manage risks, and deliver measurable outcomes.
- Evaluate emerging AI technologies and frameworks, translating them into practical, deployable solutions, not just experiments.
- Mentor engineers and set technical standards through reviews, architecture forums, and hands-on contribution.
Requirements
- M.Tech with at least 7 years of experience or PhD with 3+ years of experience.
- At least 2 years leading or owning delivery of AI/ML-powered systems.
- 6 years of software engineering experience, with a strong full-stack foundation and increasing ownership of complex systems.
- Proven experience building AI-enabled applications beyond notebooks—systems that are deployed, used, and maintained.
- Hands-on experience with agentic AI frameworks, LLM-based systems, or AI copilots, including orchestration, tool use, and guardrails.
- Strong proficiency in Python plus at least one additional language (Java, C++, C#, or similar).
- Experience designing scalable backend architectures, APIs, and services supporting AI workloads.
- MLOps experience: model deployment, CI/CD for AI systems, monitoring, versioning, and lifecycle management.
- Working knowledge across NLP, Computer Vision, or Data Analytics, with depth in at least one area.
- Comfort operating in regulated, safety-conscious, or compliance-driven environments (aerospace experience is a plus, not a requirement).
Benefits
- Group Term Life Insurance.
- Group Health Insurance.
- Group Personal Accident Insurance.
- Employee scholar program.
- Work life balance.
- Car lease program.
- National Pension Scheme.
- LTA.
- Fuel & Maintenance / Driver wages.
- Meal vouchers.
- And more!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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