Senior Manager AI Engineering
Teradata (company site, opens in a new tab)12+ yrsHyderabadHybridDirect career pageEst. 45–75 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead engineering roadmap and product direction for the Agentic Platform, focusing on scalability, reliability, and integration with LLMs and orchestration frameworks.
- Manage and mentor a team of backend engineers and platform specialists, ensuring alignment with AI product needs and driving technical excellence.
- Oversee design and implementation of core platform services and integrations enabling autonomous agent capabilities at scale.
Minimum Requirements
- 12+ years in software/platform engineering with at least 3 years in engineering management or technical leadership.
- Experience building and scaling distributed systems or cloud platforms in production environments.
- Strong technical expertise in backend development, APIs, infrastructure, platform architecture, and cloud platforms (AWS, Azure, GCP) with container orchestration (Kubernetes).
- Work Experience Required: 12+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Proven leader in managing platform engineering teams delivering scalable, reliable systems for AI/ML workloads or developer platforms.
- Deep understanding and hands-on experience at the intersection of AI and engineering, especially with LLM-based or autonomous agent platforms.
- Strategic technical thinker able to balance technical depth with delivery speed in R&D-intensive, fast-paced environments.