We are looking for an experienced AI Architect to design and lead a scalable multi-agent Generative AI platform for a global enterprise client. The role focuses on architecting production-grade AI systems, agent orchestration, and secure, high-performance GenAI solutions.

Key Responsibilities :

- Design end-to-end architecture for multi-agent AI systems (LLMs, orchestration, vector DBs).

- Drive model strategy (proprietary vs open-source) considering cost, latency, and data privacy.

- Build scalable, production-ready agentic systems using RAG, async processing, and caching.

- Define security guardrails, governance, and evaluation frameworks (LLMOps).

- Establish observability, monitoring, and performance optimization standards.

- Mentor AI engineers and collaborate with cross-functional teams.

Required Skills & Experience :

- 5+ years of engineering/architecture experience with focus on AI/ML or NLP.

- Hands-on experience building and deploying GenAI / LLM applications in production.

- Strong knowledge of LLMs (OpenAI, Anthropic, Azure OpenAI, Open-source).

- Experience with LangChain, LlamaIndex, or custom orchestration frameworks.

- Hands-on with Vector Databases (Pinecone, Qdrant, Weaviate).

- Strong Python, microservices, and cloud experience (AWS/Azure/GCP).