Agentic AI Lead Engineer with OCR pipeline building experience

Role Summary

• The Agentic AI 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, 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

Required Qualifications

Technical Skills

• Knowledge of vector databases, knowledge graphs, and retrieval-augmented generation (RAG) patterns
• Familiarity with cloud platforms (Azure/AWS/GCP), containers, and infrastructure-as-code

Conceptual & Enterprise Skills

• 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.