Role - Tech Architect / Solution Architect - Cloud Gen AI
Experience- 10 Years -15 years
Location- PAN India
- To lead the Architecture and solutioning of Scalable, secure and production-grade Generative AI applications and platforms leveraging Cloud native AI / Gen AI Services.
- Experience in liaising between Business, data science and engineering teams to define end-to-end AI solutions that leverage state of the art foundation models, vector DBs , prompt engineering techniques using Public Cloud service providers native services.
- Architecture & Design :
- Define reference Architectures for Gen AI solutions using Cloud-native and open-source stacks
- Architecture end-to-end solutions involving LLMs, embeddings, vector stores, API orchestration, and secure data access.
- Design for Scalability, latency, cost, compliance, and model observability using Public Cloud service providers native services
- Solution Engineering :
- Lead the solutioning and prototyping of RAG, agentic workflows, multi-modal generation, and LLMops pipelines using Public Cloud service providers native services
- Evaluate and integrate foundation models via on AWS (SageMaker, Bedrock), Azure (OpenAI), or GCP (Vertex AI).
- Cloud & MLOps Integration :
- Architect multi-region resilient deployments using AWS, Azure or GCP services.
- Implement MLOps / LLMOps pipelines, embedding storage (Pinecone, Opensearch, Chroma) model versioning and inference monitoring.
Profile Requirement :
Customer & Stakeholder Engagement :Translate business goals into Solution Architecture and POCEngage in pre-sales, proposal writing, client workshops and evangelization of solutions and offerings leveraging Public Cloud AI service offerings.Governance & Security :Enforce AI Security and compliance of applications hosted on Cloud (Data residency, guardrails, encryption, IAM, RBAC)Design responsible AI flows to handle hallucinations, toxicity, bias and usage monitoring using Public Cloud service providers native services.Mentoring & Capability Building :Mentoring development teams on best practices.Contribute to internal accelerators, reusable solutions and architecture patterns.