Unknown Company

AI Solutions Architect

chicago, il • Posted 6 days ago
Hybrid Full Time Software Architecture & Engineering

Location: 60606. Hybrid a couple of days a month.


We're looking for an AI Architec t who is equal parts strategist, engineer, and leader

.
This is a senior, client-facing role at the intersection of AI Governance, Solutions Architecture, and Program Manageme nt. You will be the primary technical face for clients — leading architecture discussions, shaping AI strategy, and owning delivery from concept to productio

n.If you have 10 years of overall experience with 3 years leading AI initiatives, love being hands-on, and thrive leading distributed teams, this is for yo

u

. What You'll O

  • ygServe as the primary technical partner for clients — leading architecture workshops, negotiating scope, and building trust with executive stakeholder
  • s.Guide clients on AI Governance — responsible AI policies, model risk management, data governance, and compliance guardrails for agentic system
  • s.Support pre-sales with solution positioning, proposals, and technical demo
  • ryDesign end-to-end agentic AI architectures — including multi-agent orchestration, tool/function calling, RAG pipelines, and LLM application desig
  • n.Program-manage engagements end-to-end — owning scope, milestones, risk, and delivery cadenc
  • e.Stay hands-on: review designs, unblock complex technical problems, and set the engineering ba
  • ipGuide and mentor high-performing project teams, including distributed teams in Indi
  • a.Help hire, grow, and develop engineers into stronger builders and architect

s

. What You Bri

ngMust-Have

  • s:Proven track record leading technical client engagements — you can run an architecture whiteboard session and an exec alignment meeting in the same da
  • y.Strong hands-on engineering background in Python, PySpark, and production-grade AI / LLM application developmen
  • t.Deep, practical expertise in agentic AI architecture: multi-agent systems, orchestration frameworks, tool use, and RA
  • G.Experience defining or implementing AI governance frameworks (Responsible AI, model risk, data privacy, compliance) in an enterprise settin
  • g.Demonstrated experience program managing complex technical project
  • s.Experience building, leading, and mentoring distributed engineering teams, including offshor
  • e.Strong cloud / full-stack foundation — you build, not just draw boxe
  • s.Excellent communicator — credible with C-suite and credible in a code revie

w.Nice-to-Have

  • s:Experience with modern data platfor
  • msConsulting / professional services backgrou
  • ndCertifications or training in AI Governance / Responsible
  • AIExperience across multiple cloud AI ecosystems (AWS, Azure, GC

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