Job Description, Responsibilities & Requirements
Technical Manager – GenAI & Agentic AI Platforms
About the Position
We are seeking a seasoned Technical Manager to lead GenAI and Agentic AI initiatives, building scalable, secure, and compliant AI platforms on cloud-native data foundations. The role blends hands-on technical leadership with strategic ownership of AI platforms, enabling enterprise-grade LLM, agent orchestration, and AI-driven product capabilities across regulated and large-scale environments.
Location: HYDERABAD (mandatory)
Responsibilities
- Lead end-to-end delivery of GenAI and Agentic AI platforms, including LLM integration, RAG pipelines, AI agents orchestration, and AI-enabled applications.
- Architect and operate cloud-native data and AI platforms on AWS/Azure to support model training, inference, analytics, and real-time AI workloads.
- Build and manage high-performing engineering teams; drive Agile/DevOps practices, SRE, and operational excellence for AI systems.
- Partner with Product, Data Science, Security, and Platform teams to align AI strategy with business outcomes and product roadmaps.
- Own reliability, scalability, cost optimization, and performance of AI workloads and data platforms.
- Establish governance, security, and compliance for AI systems (HIPAA, SOC2, GDPR), including data privacy, auditability, and responsible AI practices.
- Lead incident management and root cause analysis for business-critical AI and data platform outages.
- Translate customer and stakeholder feedback into continuous improvements in AI platforms, documentation, and developer enablement.
- Drive platform modernization, cloud migration, and adoption of emerging GenAI/Agentic AI technologies.
Requirements
- 15+ years of experience in Cloud, Data Engineering, and Platform Leadership roles.
- Strong hands-on experience with AWS and/or Azure (cloud-native architectures, networking, security, IAM, observability).
- Experience building and operating data platforms (SQL/NoSQL, OLTP, DWH, streaming) to support AI/ML workloads.
- Proven leadership in delivering AI-enabled platforms (LLM-backed applications, analytics, speech/vision AI, ML pipelines).
- Strong understanding of GenAI concepts: LLM integration, RAG, embeddings, vector databases, prompt engineering, AI orchestration frameworks.
- Experience leading teams in Agile/DevOps, CI/CD, IaC, reliability engineering, and KPI-driven performance management.
- Deep knowledge of security, governance, compliance in regulated environments (HIPAA, SOC2, GDPR).
- Excellent stakeholder management and ability to translate business needs into scalable AI platform solutions.
Nice to Have
- Experience with Agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI or similar orchestration patterns).
- Experience with MLOps/LLMOps: model lifecycle management, monitoring, evaluation, and cost governance.
- Exposure to healthcare, insurance, or other compliance-heavy domains.
- Experience running AI workloads on managed cloud data services and supporting enterprise AI adoption.
We Offer
- Opportunity to work with cutting-edge AI technologies.
- Collaborative and innovative work environment.
- Competitive compensation package.
- Professional growth and development opportunities.
- Hybrid work model.