Senior Manager - AI & Innovation
On-site · Hyderabad, Telangana, India
Job Summary
Senior Manager - AI & Innovation leads enterprise AI design and governance. Responsible for translating business strategies into AI roadmaps and reference architectures across business units, governing AI patterns for RAG, ML, and hybrid search/graph solutions, and defining non-functional requirements, SLOs, and FinOps guardrails to ensure scalable, secure, and cost-efficient AI systems. Design and deliver end-to-end AI solutions from data acquisition and feature engineering to model/prompt development and production deployment. Embed security, privacy, and compliance controls (PII protection, audit readiness). Establish evaluation frameworks (offline metrics, HITL, A/B testing, safety filters) for GenAI/ML, integrate AI with enterprise data platforms, and mature MLOps practices (CI/CD, registries, observability, drift monitoring, rollback). Drive Responsible AI and governance in partnership with legal, risk, and compliance teams. Lead cross-functional teams, mentor engineers, promote agile practices, and communicate complex topics to technical and non-technical stakeholders. Essential requirements include an advanced degree, 10+ years of experience with 5+ years in AI/ML at enterprise scale, and deep cloud-native/MLOps expertise.
Required Qualifications
- Bachelor’s or Master’s degree in computer science, IT, or other quantitative disciplines
- 10+ years overall experience, including 5+ years in AI/ML or data‐intensive solution architecture at enterprise scale
- Demonstrated success delivering production AI systems that meet enterprise NFRs (security, latency, cost, compliance)
- Strong engineering background in at least two programming languages (e.g., Python, Java, Scala)
- Deep expertise in cloud‐native architectures (Kubernetes, microservices, event streaming) and at least one major cloud platform
- Practical proficiency with MLOps/LLMOps tools: model/prompt registries, evaluators, feature stores, pipelines
- Strong understanding of NLP, semantic search, and text mining techniques
- Ability to manage multiple priorities, work under tight deadlines, and operate within a global team environment
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