Axial Search
← Back to all positions

AI Solutions Architect

United States · Hybrid

Professional Servicesai_architecture, ai_implementation$150k – $280k

Axial Search builds long-term talent networks for AI, data, and transformation leaders across the United States, and applying for this role indicates your interest in positions like this one as your next move. This particular position isn't tied to a specific client today, but we actively place people with your background — apply and we'll be in touch when a matching role opens with one of our clients. In the meantime, please make use of our free tools to help with your job search, including our live job market dashboard with salary, skills, and hiring-trend data from thousands of AI transformation roles.

Job market data

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.

Key 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