Description

Architect and build enterprise-grade Agentic AI systems for supply chain use cases, owning the full lifecycle from design to deployment.

This role is on-site.

Responsibilities

• Design and implement multi-agent architectures, orchestration frameworks, and RAG pipelines for production environments.
• Drive architectural decisions across deployment models including on-prem, cloud, hybrid, and containerized solutions.
• Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for enterprise supply chain contexts.
• Develop technical design documentation, lead design reviews, and integrate with enterprise IT, ERP, CRM, and ITSM data sources.
• Implement agent observability and evaluation frameworks to monitor latency, accuracy, cost, and hallucination analysis.

Required Skills

• 12+ years of experience in software architecture, systems design, or enterprise platform engineering.
• Strong hands-on expertise in Python for building production-grade AI systems.
• Proficiency in SQL, JSON, and backend service development (Java is a plus).
• Deep experience with LLMs, RAG architectures, and agentic frameworks (LangChain, ReAct patterns, AutoGPT-style workflows).
• Experience with vector databases, embeddings, indexing strategies, and retrieval optimization.
• Knowledge of NeMo and AIQ technologies.
• Ability to integrate enterprise platforms via APIs and custom services.
• Bachelor’s degree in Computer Science or equivalent experience.

Preferred Skills

• Experience with multi-agent communication patterns (planner/executor/critic, supervisor agents).
• Technical solution design and business process modeling capabilities.

Key Skills

Education

Bachelor's degree