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We are seeking 10+ years of experienced AI Architecture & Leadership Manager to lead the design, implementation, and governance of enterprise-scale AI and Generative AI solutions. The ideal candidate will possess deep expertise in AI architecture, cloud-native platforms, LLM ecosystems, Agentic AI, and enterprise application integration while leading multidisciplinary teams to deliver innovative business solutions.
Experience- 10+
Location- Bengaluru/Hyderabad/Mumbai/Pune
Key Responsibilities
AI Strategy & Leadership
Architecture & Solution Design
Delivery & Program Management
Job ID: 152914185
Skills:
MLops, compliance alignment, agent workflow orchestration, evaluation dataset design, defining guardrails standards, LLMOps, AI GenAI architecture patterns, corpus preparation, prompt lifecycle management, CI CD, Security-by-design, network boundaries, monitoring approach, embedding design, retrieval strategy, Data strategy architecture, Governance guardrails, model registry, deployment strategy, Access Control, solution reference architectures
Skills:
process mining , Ibm Watson, Cloud, MLops, multi-agent orchestration, Claude, Business Process Mapping, Responsible AI frameworks, LLM architecture, Azure AI Copilot, GenAI architecture, IT enterprise architecture concepts, Google Vertex AI, observability, API-first, AI architecture, prompt engineering, agentic workflows, RAG, MCP, cloud AI platforms, AI governance, Gemini, Amazon Bedrock
Skills:
.NET, Python, Evaluation frameworks and metrics for AI systems, AI observability monitoring, Vector databases, LLM orchestration, RAG architectures
Skills:
S3, RDS, Dynamodb, React, Lambda, CloudFront, Docker, ECS, FastAPI, Python, Api Gateway, AWS, LangChain, LLMs, monitoring frameworks, DevOps practices, Vector Databases, Embeddings, CI CD pipelines, GenAI integrations, RAG, Prompt Engineering, LlamaIndex
Skills:
data quality assurance , object storage , Kafka, Azure DevOps, Azure, Jenkins, Spark, AWS Bedrock, Feast, distributed query engines, OpenAI, Amazon Deequ, Data Architecture for AI, cloud native ETL, DataHub, Apache Atlas, Power BI with Copilot, LangChain, CrewAI, data lakehouses, LangGraph, GitHub Actions, ELT frameworks, platform integration, Vertex AI, Great Expectations, Google ADK, Evidently, AutoGen