Architect, AI & Agentic Platforms

Principal Responsibilities

• Architect the next-gen AI/Agentic platform that powers autonomous procurement and supply chain workflows across global enterprises.
• Design and lead the end-to-end architecture across backend systems, frontend frameworks, databases, and AI pipelines.
• Build a modular platform architecture capable of integrating open-source and commercial LLMs, SLMs, and agentic frameworks like LangGraph, Langchain CrewAI, AutoGen, or Haystack.
• Collaborate closely with MLOps, data engineering, and ML science teams to define infrastructure for retrieval-augmented generation (RAG), fine-tuning, vector search, and embedding orchestration.
• Partner with product and UX teams to deliver AI-native user experiences with real business impact.
• Evaluate and recommend platform stack choices for real-time orchestration of autonomous agents, knowledge graphs, and enterprise workflows.
• Mentor a team of senior engineers and act as a thought leader across the broader tech organization.
• Champion secure, scalable, cloud-native design patterns across AWS/Azure/GCP environments.
• Collaborate cross-functionally in a matrixed global organization, influence without authority and lead with empathy.

Position Requirements

• Must-Haves:
  • 15+ years of hands-on software architecture and engineering experience across full-stack systems.
  • Expert-level knowledge of backend technologies (e.g., Python, Java, Node.js, Go), API architecture, microservices, and event-driven systems.
  • Solid grounding in frontend frameworks (React, Angular, or Vue) and modern UI/UX patterns.
  • Proven experience deploying and scaling LLMs, SLMs, and agentic AI frameworks in production environments.
  • Strong foundation in MLOps, including CI/CD for ML, model monitoring, retraining pipelines, and cloud-based data platforms.
  • Deep knowledge of vector databases (e.g., Pinecone, QDrant, Milvus), hybrid search, and embedding orchestration.
  • Familiarity with enterprise-grade security, privacy, and compliance requirements in AI platforms.
  • Demonstrated leadership in matrixed organizations with strong emotional intelligence (EQ) and the ability to inspire, align, and drive results.
  • Proven success building platforms used by thousands of users or multiple internal product teams.
• Preferred Experience:
  • In contributions to open-source AI or MLOps projects.
  • Experience integrating with platforms such as SAP, Oracle, Workday, or ServiceNow.