Gen AI Solutions Architect & Delivery Lead

Hexaware Technologies Limited; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Hexaware Technologies Limited is seeking an AI Architect to own end-to-end architecture for enterprise-grade AI solutions across generative AI domains on Azure.

You will translate business goals into robust, secure, and cost-effective architectures, lead delivery teams, and establish MLOps, governance, and responsible-AI practices. The role requires hands-on Azure AI services and expertise in document processing and multi-agent RAG-enabled systems.

Responsibilities

• Design end-to-end pipelines: ingestion, pre-processing, OCR/layout analysis, extraction, normalization, reconciliation, validation, and human-in-the-loop.
• Translate business problems (document extraction, contract analytics, claims processing, knowledge bases, chat assistants) into measurable ML objectives and architecture blueprints.
• Facilitate stakeholder workshops (Jira/Confluence/Miro) to capture success criteria, SLAs and compliance requirements.
• Architect hybrid solutions combining Azure Cognitive APIs, custom ML models, Azure OpenAI/LLMs and RAG to balance accuracy, latency and cost.
• Define API/integration patterns (REST), event-driven messaging and connectors to Kafka systems.
• Design RAG workflows with embeddings and vector search for source-cited responses and hallucination mitigation.
• Design and advise on agentic AI frameworks (multi-agent roles, tool-invocation patterns, context/state management) for autonomous or semi-autonomous assistants.
• Specify MCP/server orchestration approaches (stateful context, plugin/tool integrations, secure communications).

Job description

Hexaware Technologies Limited is seeking an AI Architect to own end-to-end architecture for enterprise-grade AI solutions across generative AI domains on Azure.

You will translate business goals into robust, secure, and cost-effective architectures, lead delivery teams, and establish MLOps, governance, and responsible-AI practices. The role requires hands-on Azure AI services and expertise in document processing and multi-agent RAG-enabled systems.