Applied AI Solutions Architect

Responsibilities

• Lead technical discovery with prospective customers to understand technical landscapes, business objectives, integration requirements, AI governance considerations, and long-term technology strategies.
• Develop enterprise solution architectures, AI implementation strategies, and phased deployment approaches for complex healthcare environments.
• Lead architecture reviews, executive workshops, product demonstrations, security discussions, technical evaluations, and technical validation throughout the enterprise buying process.
• Guide executives, enterprise architects, security teams, and operational leaders through AI adoption, technical tradeoffs, implementation approaches, and architecture decisions.
• Help customers define AI evaluation criteria, success metrics, governance models, and implementation approaches.
• Build and maintain demonstration environments, technical documentation, reference architectures, integration patterns, implementation playbooks, and reusable technical frameworks.
• Partner with Product and Engineering to identify implementation patterns, customer needs, and integration opportunities that inform product strategy.
• Create repeatable demonstrations, technical messaging, architecture patterns, and implementation methodologies that reduce technical risk and accelerate enterprise sales cycles.

Requirements

• Experience in a customer-facing technical role such as Solutions Architect, Solutions Consultant, Applied AI Architect, or Sales Engineer supporting complex enterprise software.
• Strong understanding of APIs, cloud architecture, enterprise integrations, identity management, data engineering, and AI workflows.
• Ability to translate technical concepts into business outcomes.
• Excellent communication skills, including executive strategy discussions, architecture whiteboarding, technical workshops, and live demonstrations.
• Ability to create reusable demonstrations, implementation patterns, documentation, and technical assets.
• Strong cross-functional collaboration skills across Sales, Product, Engineering, and Customer Success.

Preferred Experience

• Enterprise AI, machine learning, analytics, or cloud platform deployments.
• Modern LLMs, AI agents, evaluation frameworks, retrieval-augmented generation (RAG), or enterprise AI architecture.
• Secure cloud-native architectures and enterprise application integrations through APIs.
• Python or the ability to prototype technical workflows.
• Healthcare interoperability, ERP, finance, supply chain, payer, or enterprise healthcare systems.

Compensation and Benefits

• No compensation or benefits information was provided.