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AI Solutions Architect

United States · Hybrid

Professional ServicesAI Architecture, AI/ML Engineering$150k – $280k
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What the market looks like

AI solutions architecture has been one of the fastest-growing areas we track — over 11,000 live postings in the past year — and the role now sits at the center of consultancies, systems integrators, and enterprise architecture functions. Mid-senior total compensation generally lands in a $150K–$260K band, with director-level roles clearing $280K. The strongest architects we place combine modern GenAI fluency with the patience to make pragmatic build-versus-buy calls under real constraints — cost, latency, governance, and team capability all matter.

Job responsibilities

  • Design end-to-end AI solutions for enterprise clients across industries, from data layer up through application

  • Translate business problems into technical architectures spanning data, modeling, orchestration, and evaluation

  • Lead technical conversations with senior stakeholders on both client and delivery teams

  • Define reference architectures, patterns, and reusable assets that raise the bar across the broader practice

  • Evaluate and select technologies — foundation models, vector databases, orchestration frameworks — for specific client contexts

  • Partner with engineering leads to drive delivery quality, not just technical correctness

  • Mentor senior engineers and participate in the pre-sales process where it helps win the right work

  • Stay current with the AI landscape and bring that perspective back into client conversations without chasing every trend

Candidate requirements

  • 7+ years of technical architecture or senior engineering experience, with 2+ years in AI or ML delivery

  • Strong fluency across modern AI stacks — RAG, agentic workflows, MLOps, and major cloud platforms

  • Track record of shipping AI solutions end-to-end in enterprise environments, not just prototypes

  • Excellent communication — equally comfortable with CIOs, engineers, and end users

  • Consulting, professional services, or internal enterprise architecture background preferred

  • Pragmatism about when not to use AI — cost, latency, and governance trade-offs matter

AI Solutions Architect | United States | Axial Search