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AI/ML Engineer III (GenAI Agentic Consultant)

Papigen

Washington · On-site Full-time Senior 2d ago

About the role

About Company

Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and emerging technologies including Cloud, Data, AI, and Digital Platforms. Our client-centric approach combines consulting excellence with strong engineering execution to help organizations achieve measurable business outcomes.

Website: https://papigen.com/

Role Summary

This senior role provides architectural leadership for enterprise-grade GenAI and agentic systems. The consultant bridges business objectives, AI capabilities, and enterprise platforms to ensure responsible, secure, and scalable AI adoption.

Scope Of Work & Key Responsibilities

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

Required Skills & Experience

  • Bachelor’s or Master’s degree with 10+ years in solution or enterprise architecture.
  • Proven experience delivering enterprise-scale AI/ML or GenAI systems.
  • Deep expertise in agentic AI, LLMs, RAG, and vector databases.
  • Strong cloud experience (Azure preferred) including hybrid architectures.
  • Solid software engineering foundation.
  • Demonstrated knowledge of Responsible AI, governance, and compliance.
  • Excellent stakeholder communication and leadership skills.

Skills

  • rag
  • ml
  • ai governance
  • python
  • azure
  • presentation skills
  • architecture
  • artificial intelligence
  • generative ai
  • communication
  • large language model
  • agentic ai
  • solutioning
  • cloud
  • vector databases
  • langchain

Skills

AI governanceagentic aiartificial intelligenceazurecloudcommunicationgenerative ailarge language modellangchainmlpythonragsolutioningvector databases

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