Senior Architect- Gen AI
Senior Technical Architect – AI-Native Enterprise Platform
10+ Years Experience | Agentic AI | LLM | FastAPI | Multi-Cloud | ITSM
About the Role
We are looking for a Senior Technical Architect with 10+ years of experience to lead the architecture of a next-generation, AI-native enterprise platform powering intelligent IT operations, managed services automation, and agentic AI workflows. This is a hands-on leadership role requiring deep expertise in Agentic AI, LLMs, FastAPI microservices, multi-cloud infrastructure, and ITSM integrations.
Key Responsibilities
- Define and own the end-to-end platform architecture covering AI agents, LLM/RAG pipelines, data stores, API services, security, and cloud infrastructure.
- Architect and govern Agentic AI frameworks including multi-agent workflows, LLM Gateway (Claude, GPT-4o, Llama), RAG pipelines, and AI guardrails for enterprise-grade reliability.
- Lead design of FastAPI-based microservices, RESTful/GraphQL APIs, and API Gateway standards across a high-performance, multi-tenant platform.
- Design a multi-tiered data architecture spanning PostgreSQL, pgvector, Redis, MongoDB, Neo4j, InfluxDB, and Delta Lake for structured, unstructured, and vector data.
- Drive multi-cloud strategy across AWS, Azure, and GCP, leveraging cloud-native services including Bedrock, Azure OpenAI, and Vertex AI.
- Define ITSM integration architecture with platforms such as ServiceNow, Jira, and Remedy, along with observability tools like Splunk, Dynatrace, and Grafana.
- Enforce Zero Trust security, OAuth2/JWT authentication, RBAC/ABAC, HashiCorp Vault, and AI governance standards.
- Champion DevSecOps practices including CI/CD pipelines, Docker, Kubernetes, Terraform, and automated testing.
- Mentor senior engineers and architects, drive technical governance, and present strategies to executive and enterprise stakeholders.
Required Skills
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Domain |
Technologies |
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Programming |
Python 3.10+, FastAPI, Async REST/GraphQL APIs |
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Agentic AI & LLM |
LangGraph, LiteLLM, Claude, GPT-4o, Llama, LlamaIndex, MCP |
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RAG & Vector Search |
pgvector, Weaviate, Semantic Search, Prompt Engineering |
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Databases |
PostgreSQL, MongoDB, Redis, Neo4j, InfluxDB |
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Cloud Platforms |
AWS, Azure, GCP (Bedrock, Azure OpenAI, Vertex AI) |
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Containerization |
Docker, Kubernetes, Podman |
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ITSM & Monitoring |
ServiceNow, Jira, Splunk, Dynatrace, Grafana, Prometheus |
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Security & DevSecOps |
OAuth2, JWT, OPA, HashiCorp Vault, Terraform, CI/CD |
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Area of Responsibility
Requirement Analysis-Participate in requirement discussions with client stakeholders to define solution and implementation level needs basis the business requirements.
Designing-Create solution architecture designs to meet cross-system interactions and business logic integration requirements, ensuring system cohesion across multiple applications.
Integration assessment and support-Assess and evaluate interactions across multiple applications by evaluating implementation dependencies and integration requirements.
Troubleshooting-Support validation of solution components during implementation and ensures the solution functions as designed.
Risk Analysis and Assessment-Assist in identifying potential risks by evaluating system performance of implemented architectural solutions, to ensure efficient system landscape.
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Mandatory Skills: AI ML Ops Infrastructure .
Experience: 8-10 Years .
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.