AI Solutions Architect
United States · Hybrid
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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
