Lead Agentic AI Architect

Design Better Podcast

New York, Northern (NY, KY)

Hybrid

USD 150,000 - 254,000

Full time

7 days ago
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Benefits offered by this job

Insurance (medical)
401k with company match
Paid time off
Tuition reimbursement

Job summary

Mastercard’s Operational Intelligence (OI) team is expanding its AI platform with agentic AI and large language model (LLM) driven autonomous systems. This role focuses on designing, building, and scaling enterprise-grade, multi-agent AI applications that power critical operational workflows.

The Lead AI Engineer, Agentic AI will own end‑to‑end architecture and delivery, mentor engineers, and partner with Product to move solutions from proof of concept to MVP and production while ensuring

Qualifications

  • Hands‑on experience building AI/ML or backend systems using modern engineering practices.
  • Experience developing LLM‑powered applications, RAG pipelines, and agent‑based systems.
  • Proven experience delivering production‑scale services in distributed environments.
  • Strong proficiency in Python, APIs, and distributed systems design.
  • Ability to independently own complex technical problems and drive them to production.

Responsibilities

  • Design, build, and deploy LLM-powered applications and multi-agent systems.
  • Architect agent workflows including memory strategies, tool integration, guardrails, and HITL patterns.
  • Implement retrieval-augmented generation (RAG) and context engineering using platforms such as Mem0 and Redis.
  • Integrate agentic systems with enterprise data platforms and develop reliable backend services.
  • Drive observability, evaluation, and reliability for production AI services.

Skills

Python
APIs
Distributed systems
LLM development
RAG pipelines
Agent-based systems

Tools

Mem0
Redis

Job description

Mastercard’s Operational Intelligence (OI) team is expanding its AI platform with agentic AI and large language model (LLM) driven autonomous systems. This role focuses on designing, building, and scaling enterprise-grade, multi-agent AI applications that power critical operational workflows.

The Lead AI Engineer, Agentic AI will own end‑to‑end architecture and delivery, mentor engineers, and partner with Product to move solutions from proof of concept to MVP and production while ensuring

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