GenAI Architect & Agentic Systems Lead

Papigen; Washington (District of Columbia); On-site; USD 150,000 - 190,000; Full time

Job summary

Papigen in the United States is seeking an AI/ML Engineer III to lead GenAI agentic architectures and enterprise-grade AI solutions. You will shape reference architectures, governance, and secure integrations, driving MLOps and AIOps practices in collaboration with stakeholders.

The role requires deep expertise in agentic AI, LLMs, Azure cloud, and scalable design patterns, with responsibility for end-to-end delivery from concept through production.

Qualifications

• 10+ years in solution or enterprise architecture with AI focus.
• Proven delivery of enterprise-scale AI/GenAI systems.
• Strong knowledge of governance, Responsible AI, and compliance.

Responsibilities

• Architect and implement GenAI solutions for single-agent and multi-agent systems.
• Serve as architectural authority ensuring enterprise standards.
• Define agent orchestration patterns including memory, planning, tools, collaboration.
• Develop AI reference architectures (RAG, tool-augmented agents).
• Lead decisions in Agile/SAFe environments.
• Evaluate enterprise AI platforms, LLMs, orchestration tools.
• Design secure integrations with data platforms and identity systems.
• Ensure governance, privacy, auditability, and human-in-the-loop controls.
• Provide hands-on leadership through POCs, reviews, production support.
• Drive DevSecOps, MLOps, and LLMOps adoption.

Skills

GenAI

Agentic AI

LLMs

Azure Cloud

Python

Architecture

Governance

Stakeholder mgmt

Communication

MLOps

LangChain

Education

Bachelor's or Master's in related field

Tools

LangChain

Vector DBs

RAG

LLM Platforms

Job description

Papigen in the United States is seeking an AI/ML Engineer III to lead GenAI agentic architectures and enterprise-grade AI solutions. You will shape reference architectures, governance, and secure integrations, driving MLOps and AIOps practices in collaboration with stakeholders.

The role requires deep expertise in agentic AI, LLMs, Azure cloud, and scalable design patterns, with responsibility for end-to-end delivery from concept through production.