Agentic AI Solution Architect

Tasks

• Architect enterprise-grade Agentic AI and Multi-Agent Systems
• Design LLM-powered solutions using RAG and agentic workflows
• Build and orchestrate AI agents using LangGraph, CrewAI, AutoGen, or similar frameworks
• Integrate AI agents with enterprise applications, APIs, and data platforms
• Establish AI governance, observability, security guardrails, and evaluation frameworks
• Lead architecture discussions, technical discovery workshops, and enterprise AI implementations
• Guide engineering teams from prototyping through production deployment

Requirements

• 8+ Years
• Strong hands-on programming experience in Python and Java
• Enterprise AI, GenAI, Agentic AI, and Multi-Agent Architectures
• LangGraph, CrewAI, AutoGen, or similar orchestration frameworks
• RAG, Vector Databases, Retrieval Engineering, and Knowledge Management
• Autonomous AI Workflows and Enterprise API Integrations
• AI Observability, Evaluation, Governance, and Security
• Cloud-Native Architecture and Enterprise AI Deployment
• Preferred: Experience in Finance, Accounting, Month-End Close (MEC), or Year-End Close (YEC) processes
• Preferred: Experience with AWS, Azure, or GCP
• Preferred: Customer-facing Solution Architecture or Consulting experience
• Preferred: Experience working with regulated enterprise environments and executive stakeholders
• A hands-on Solution Architect who can own architecture decisions, build working prototypes, lead engineering teams, and deliver secure,

Schedule

• Day 1 Onsite

Location

• Mountain View, CA (San Francisco Bay Area), New York, NY