Gen AI Lead/Architect
Job Overview:
Looking for an experienced Gen AI Solution Architect / Technical Lead to design and drive enterprise GenAI solutions with ownership of architecture, technical implementation, and production deployment.
Key Responsibilities:
Architect AI-powered solutions for guided selling, account intelligence, opportunity insights, sales coaching, and workflow automation.
Design enterprise GenAI solutions using LLMs, RAG, Agentic AI, semantic search, and recommendation engines.
Drive integrations across CRM, cloud, analytics, and enterprise data platforms.
Lead technical discovery, architecture design, POCs, and end-to-end implementation.
Define scalable data architectures, APIs, and enterprise integration frameworks.
Provide technical direction to AI/ML engineers and data engineering teams.
Establish AI governance, security, responsible AI, and performance standards.
Drive solution optimization, production readiness, and enterprise-wide adopti
Key Skills:
Bachelor's degree in Computer Science, Engineering, or related discipline.
8+ years of experience in solution architecture, software engineering, or enterprise technology.
3+ years of hands-on GenAI solution architecture and implementation experience.
Strong expertise in LLMs, RAG, AI Agents, prompt engineering, embeddings, and vector databases.
Experience with enterprise AI integration and CRM platforms such as Salesforce or Dynamics 365.
Strong understanding of Python, APIs, microservices, cloud architecture, and data engineering.
Experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, or equivalent platforms.
Proven experience leading technical design, architecture reviews, and production deployments.
Experience in AI-powered sales intelligence or enterprise automation solutions.
Exposure to LangChain, LangGraph, Semantic Kernel, Microsoft Copilot, and LLMOps.
Knowledge of Snowflake, Databricks, Microsoft Fabric, and vector search platforms.
Strong understanding of enterprise security, data governance, and responsible AI.