Job Title: Agentic AI Lead Engineer (w2 only)

Introduction:

The Agentic AI Lead Engineer is responsible for designing, building, and operationalizing agentic AI-driven automation solutions that autonomously plan, reason, and execute complex enterprise workflows. This role focuses on leveraging multi-agent architectures, Large Language Models (LLMs), orchestration frameworks, and enterprise integrations to automate business and IT processes with minimal human intervention, while ensuring security, governance, and Responsible AI compliance. The engineer will work closely with enterprise architects, domain experts, platform teams, and business stakeholders to transform manual or rule-based workflows into intelligent, adaptive, agent-driven systems that deliver measurable business outcomes.

Responsibilities:

• Design, build, and operationalize agentic AI-driven automation solutions
• Leverage multi-agent architectures, LLMs, and orchestration frameworks
• Automate business and IT processes with minimal human intervention
• Ensure security, governance, and Responsible AI compliance
• Collaborate with enterprise architects, domain experts, and business stakeholders
• Transform manual or rule-based workflows into intelligent, adaptive, agent-driven systems
• Deliver measurable business outcomes through AI-driven workflows

Requirements:

Required Qualifications:

• Knowledge of vector databases, knowledge graphs, and retrieval-augmented generation (RAG) patterns
• Familiarity with cloud platforms (Azure/AWS/Google Cloud Platform), containers, and infrastructure-as-code
• Strong understanding of agentic AI concepts: autonomy, planning, reasoning, action, learning, and reflection
• Experience translating business processes into automated, AI-driven workflows
• Awareness of Responsible AI, security, and governance considerations in enterprise environments

Preferred Qualifications:

• Experience implementing multi-agent orchestration in production environments
• Background in enterprise platforms such as ERP, CRM, ServiceNow, or supply chain systems
• Exposure to industry-specific agentic AI use cases (e.g., IT operations, SDLC automation, supply chain, customer service)
• Experience collaborating with architects, program leads, and domain experts in large-scale transformations

Years of experience required: 10 years