About the role:

Our client is looking for a seasoned AI Architect with deep expertise in cloud-native enterprise systems and Generative AI. You will define and deliver scalable, secure, production-grade GenAI architectures, including multi-agent, RAG, LLMOps and AgentOps systems, and lead cross-functional teams to build and run them.

Key Responsibilities:

- Architecture: Design modular, cloud-native GenAI systems (microservices, event-driven, serverless). Own system boundaries, data flows and integrations across LLMs, vector DBs, embeddings and tools. Produce architecture artifacts (C4, DFDs, sequence/ER diagrams, API contracts, trade-off decisions).
- GenAI &
- Agents: Build RAG pipelines, NL-to-SQL, fine-tuning and multi-modal solutions. Design multi-agent orchestration (planning, reasoning, secure tool use). Set standards for prompt engineering, memory models and context management.
- AI Security: Enforce agent identity, tool allowlists with human approval for high-risk actions, scoped tokens, sandboxed execution and auditable traces.
- Observability &
- Ops: Implement telemetry, tracing and logging. Monitor drift, hallucination and performance. Build dashboards, alerts and runbooks. Optimize cost (autoscaling, spot, serverless) and support FinOps.
- Leadership: Lead product, data science, AI and platform teams through architecture reviews and workshops.



Maintain standards and pattern libraries. Mentor engineers.

Qualifications:

- 10 years in software engineering, including 3 years in architecture or senior technical leadership.
- Proven delivery of enterprise-scale, cloud-native production systems.
- Hands-on experience with LLMs, RAG, NL-SQL and agentic frameworks in production.
- Solid grounding in design patterns (microservices, event-driven, CQRS, hexagonal) and low-level design.
- Experience integrating ML/LLM services with enterprise data platforms under security and compliance requirements.
- Proficiency in two or more of Python, TypeScript, Go, Java, C#.

Tech Stack:

- Cloud &
- DevOps: AWS/Azure/GCP, Kubernetes, Docker, serverless, GPU instances, Terraform/Pulumi, CI/CD (GitHub Actions, Jenkins).
- GenAI &
- Agents: OpenAI APIs, LangChain, LlamaIndex, Semantic Kernel, Haystack, LangGraph, AutoGen, CrewAI.
- Vector Stores: FAISS, Pinecone, Weaviate, Chroma, pgVector.
- LLMOps/MLOps: MLflow, Kubeflow, TFX, BentoML.
- Data &
- Integration: Kafka, Spark, Airflow, Flink, API gateways (Apigee).
- Observability &
- Security: OpenTelemetry, Prometheus, Grafana, Datadog, ELK, Vault, OAuth2/OIDC/SAML, Snyk, SonarQube, OWASP.
- Backend/Frontend: FastAPI, Node.js, REST/gRPC/OpenAPI, React/Next.js, WebSockets/SSE.

Total Experience: 10-15 years

📌 AI Architect - Generative AI (India)
🏢 Optegral Advisory Services
📍 India