Sr. AI Engineering Manager

Lead and mentor a multidisciplinary team of AI Engineers and Data Scientists to deliver scalable GenAI-powered, agentic AI, and ML solutions through full product lifecycle from discovery to production and continuous improvement.

Own architectural and design decisions, delivery quality, and operational readiness of LLM-powered systems, agent orchestration, RAG pipelines, ML models, and cloud-native AI services.

Be accountable for hiring, coaching, performance management, KPIs tracking, and resolving technical escalation to ensure engineering excellence and business-relevant AI product outcomes.

10+ years in software engineering, AI/ML engineering, data science, or technology delivery including production-grade intelligent systems.

4-5+ years leading or delivering AI/ML/GenAI/LLM-powered solutions in enterprise or product environments.

Strong technical expertise with Python, backend engineering, LLM platforms (e.g., Azure OpenAI, LangChain), RAG, machine learning model lifecycle, MLOps, and cloud-native deployments (Azure, Kubernetes).

Location: Bangalore (Hybrid). Work Experience Required: 10+ years overall, 4-5+ years in relevant AI/ML delivery leadership.

Experienced technical leader with proven ability to manage senior AI Engineers and Data Scientists in building enterprise-scale LLM-powered and agentic AI products with strong delivery accountability.

Demonstrates hands-on architectural and delivery guidance across advanced AI technologies including multi-agent orchestration, retrieval-augmented generation, and MLOps.

Operates effectively at the intersection of engineering, product, and business stakeholders to translate complex AI requirements into scalable, secure, and maintainable AI solutions in a build-own-operate environment.