Senior AI Architect - Agentic Platforms

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AI Summary

Design and architect next-generation enterprise agent ecosystems. Lead teams and partner with stakeholders to develop scalable, secure, and governed AI agent platforms.

Key Highlights
Cloud architecture
Software development
AI/GenAI systems
Agentic frameworks/tools
Technical Skills Required
Cloud architecture Azure Google Cloud Platform Kubernetes containers identity networking CI/CD MLOps/AIOps tools MLflow model registries vector DBs monitoring
Benefits & Perks
Contract-to-hire
6 months duration
Onsite/Hybrid work arrangement

Job Description


Dice is the leading career destination for tech experts at every stage of their careers. Our client, Activesoft, Inc., is seeking the following. Apply via Dice today!

Job Title: AI Architect – Agentic Platforms (Architect Level 2)

Location: Blue Ash, OH (Onsite/Hybrid – 3 days/week). Open to relocation (Day 1 onsite preferred)

Duration: 6 Months Contract-to-Hire

Job Summary

Kroger’s AI Enablement team is seeking a Senior AI Architect – Agentic Platforms to design and architect next-generation enterprise agent ecosystems. This role blends 50% hands-on development and 50% architecture, focusing on scalable, secure, and governed AI agent platforms.

The ideal candidate is a strong technical leader with deep experience in cloud architecture, software development, and AI/GenAI systems, capable of leading teams and partnering with stakeholders.

Required Skills & Experience

  • 10+ years in cloud and distributed systems architecture
  • 7+ years designing enterprise AI/ML systems
  • 1+ year hands-on experience with GenAI, agentic workflows, RAG, or multi-agent systems
  • Strong expertise with agentic frameworks/tools: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, MCP, OpenAI SDK, Agent SDK
  • Hands-on software development and CI/CD experience
  • Strong experience integrating APIs and enterprise systems
  • Cloud expertise in Azure and Google Cloud Platform
  • Experience with Kubernetes, containers, identity, networking, CI/CD
  • Familiarity with MLOps/AIOps tools (MLflow, model registries, vector DBs, monitoring)
  • Strong understanding of security, compliance, and Responsible AI
  • Excellent leadership and stakeholder communication skills

Soft Skills

  • Senior-level leadership and team guidance
  • Strong stakeholder management and cross-team collaboration
  • Ability to drive solutions from concept to execution

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