Lead AI Engineer - Agentic AI

Material • Artificial Intelligence • Creative Agencies • Python • 1 day ago
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Salary
≈ $18k – $47k per year (Estimated)
Location
In office (Bengaluru, Gurgaon)
Seniority
Staff · 6+ years exp

First seen by Alion on Oct 22, 2026.

Overview
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Profile match

Material

Material is a growth consultancy that combines customer insights with design, go-to-market and digital experience services for ambitious businesses and leading brands. Its teams include the brand design studio Aruliden, and it hires architects, AI context engineers, brand designers, paid media managers and insights leaders in New York, Los Angeles and Austin. The company is based in the United States.
materialplus.io • Gurgaon • New York • Los Angeles • London • Austin • Branding • Market Research • Creative Agencies • 501-1000 employees
Tech stack of Material

We are seeking a highly skilled Lead AI Engineer to drive the design, development, and deployment of advanced AI systems with a strong focus on agentic AI architectures and SAP Joule integration. This role requires both deep technical expertise and leadership capabilities to guide a team in building next-generation intelligent systems.


Responsibilities:

  • Lead the development of agentic AI systems capable of autonomous reasoning, planning, and execution.
  • Architect scalable AI solutions integrating SAP Joule for enterprise workflows and automation.
  • Collaborate with cross-functional teams to translate business problems into AI-driven solutions.
  • Define best practices for LLM orchestration, tool usage, and multi-agent systems.
  • Mentor and manage a team of AI engineers and developers.
  • Oversee deployment pipelines, model optimization, and system performance.
  • Ensure alignment with enterprise-grade security, compliance, and scalability standards.


Requirements:

  • 6-10+ years of experience in AI/ML engineering or related fields.
  • Strong expertise in agentic AI frameworks (LangChain, AutoGen, CrewAI, etc. ).
  • Hands-on experience with SAP Joule AI (mandatory).
  • Proficiency in Python and modern AI/ML stacks.
  • Experience working with LLMs (OpenAI, Anthropic, and open-source models).
  • Strong understanding of prompt engineering, RAG pipelines, and vector databases.
  • Experience in building and orchestrating multi-agent systems.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Excellent leadership and stakeholder management skills


Good to Have:

  • Experience with the SAP ecosystem (S/4HANA, BTP, etc. ).
  • Exposure to enterprise automation and workflow systems.
  • Prior experience in leading AI transformation initiatives.

Skills

autogen, crewai, langchain, python, sap joule

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