AI Solutions Architect

AI Solutions Architect — Contract (6 Months)

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Location: Lehi, UT/ Jersey City, NJ

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Job Type: Contract (6 months) — contract-to-hire

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Start: November 2026

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About the Role

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We're looking for a hands-on AI Solutions Architect to lead solution architecture for enterprise engineering services platforms and managed business services. You'll partner with service owners and business stakeholders to identify where AI — or simpler automation — adds real value, then guide the design, engineering, and reliable operation of those capabilities in production.

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What You'll Do

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- Partner with service owners, technical operations, and business stakeholders to understand service requirements, operational friction, and customer outcomes — and assess where AI is appropriate.

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- Define use cases and success criteria; evaluate feasibility, value, cost, risk, and reuse before recommending experiments or enhancements.

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- Architect AI-enabled capabilities across cloud, identity, API/MCP, integration, connectivity, and observability services using secure, reusable enterprise patterns.

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- Lead hands-on evaluations and prototypes; guide solution development and integration through production readiness with clear engineering acceptance criteria.

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- Design for secure, supportable operations: evaluation, telemetry, access controls, runbooks, incident response, and rollback.

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- Present evidence-based options to leadership, explaining service value, reliability, AI quality, cost, privacy, and human-oversight tradeoffs.

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- Lead cross-functional architecture reviews and mentor engineers; coordinate delivery with security and analytics teams on dependent applications and integrations.

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- Translate architecture into demonstrable outcomes, communicate delivery risks, and maintain clear service and platform accountability.

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What You Bring

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- Bachelor's degree in computer science, information technology, engineering, or equivalent professional experience.

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- 7+ years in software, platform, integration, or solutions architecture roles, with hands-on production engineering, technical leadership, and service-provider or customer-facing experience.

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- Applied AI solution design: LLM workflows, retrieval where appropriate, tool/agent integration, quality evaluation, model-selection tradeoffs, and non-AI alternatives.

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- Enterprise service integration: cloud architecture, REST APIs, MCP, identity and authorization, operations tooling, and reusable platform and service patterns.

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- Security and service reliability: data protection, threat modeling, auditability, observability, resiliency, human oversight, and production readiness.

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- Engineering and advisory: Python or TypeScript prototypes, architecture decision records, delivery tradeoffs, collaboration with service owners, and cross-team facilitation.

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Nice to Have

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- AWS AI services, Claude, Kong Konnect AI/MCP integration, Splunk or CloudWatch, CI/CD, and engineering managed services in a regulated enterprise.

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Details

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- Contract, 6 months, with contract-to-hire potential.

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- Lehi, UT/Jersey City, NJ