AI Solutions Architect

HomeServe USA • Norwalk, CT

14h • $125,933 - $167,910 • Onsite

About The Position

The AI Solutions Architect is a leadership role integrating strategic technology planning, solution architecture, and enterprise architecture across all areas of the business. This role is responsible for creating the overall technical vision and architecture for enterprise AI solutions that address business needs and support the organization’s broader technology strategy. The AI Solutions Architect designs, describes, and governs the enterprise architecture that enables AI products developed and delivered by the AI engineering and product teams. The role focuses on API integration design, data architecture, large language model deployment patterns, conversational AI platform integration, security, scalability, reliability, and observability. Working closely with the AI team, Enterprise Architecture, Infrastructure Architecture, Data, Cybersecurity, product leaders, and business stakeholders, this position ensures that AI solutions integrate effectively with the enterprise technology ecosystem and align with established architectural standards, data strategies, security policies, and technology roadmaps.

Requirements

• Bachelor’s degree in Computer Science or a related discipline; Master’s degree preferred.
• Minimum of 12 years of experience in systems architecture, solution architecture, systems integration, software engineering, or an equivalent combination of education and work experience.
• Experience providing technology direction and architectural guidance for enterprise-wide solutions.
• Experience designing architectures for AI-powered applications, generative AI, machine learning, or conversational AI solutions.
• Familiarity with large language model deployment patterns, including managed model services, privately hosted models, retrieval-augmented generation, grounding, inference, and prompt management.
• Experience integrating conversational AI platforms with enterprise applications, digital channels, voice platforms, contact center technologies, or customer data.
• Expertise in API architecture, web services, microservices, event-driven architecture, system integrations, and enterprise integration best practices.
• Strong understanding of data architecture fundamentals, including data access, modeling, movement, quality, lineage, privacy, and governance.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud and their AI, data, and integration services.
• Understanding of enterprise architecture principles, including scalability, reliability, security, privacy, and observability.
• Familiarity with responsible AI, AI governance, model lifecycle management, and AI risk management.
• Ability to create architecture diagrams, data-flow diagrams, integration specifications, technical standards, and architecture roadmaps.
• Solid understanding of the software development lifecycle, architecture governance, change control, and problem management processes.
• Excellent communication, leadership, collaboration, and analytical skills, with the ability to work effectively with technical teams, business stakeholders, and all levels of management.
• Strong influencing, problem-solving, team-building, and mentoring skills.
• Proactive, results-oriented, and capable of operating as a senior technical subject matter expert.

Nice To Haves

• Master’s degree preferred.

Responsibilities

• Create the overall technical vision and architecture for enterprise AI solutions that address business needs.
• Create and maintain documentation of the AI technology ecosystem, architecture, integrations, data flows, and platform dependencies.
• Define scalable and secure architecture patterns for generative AI, large language models, machine learning, conversational AI, and related enterprise services.
• Design API and integration architectures connecting AI products with enterprise applications, data platforms, third-party services, and legacy systems.
• Define data architecture requirements for AI solutions, including data access, movement, quality, lineage, privacy, and governance.
• Establish architectural patterns for large language model deployment, model services, retrieval-augmented generation, grounding, inference, and prompt management.
• Provide architectural guidance for integrating conversational AI platforms with digital channels, voice platforms, contact center technologies, enterprise systems, and customer data.
• Collaborate with AI product and engineering teams, Enterprise Architecture, Infrastructure, Data, and Cybersecurity to translate business and product requirements into scalable technical solutions.
• Provide architecture oversight for multiple concurrent AI initiatives and ensure alignment with enterprise technology standards, security policies, and strategic roadmaps.
• Evaluate and recommend AI platforms, model services, integration technologies, data services, and reusable enterprise capabilities.
• Research emerging AI technologies and recommend long-range architecture strategies and standards that support the Company’s business goals.

Benefits

• Annual Bonus Potential: 10%

What This Job Offers

• Job Type: Full-time
• Career Level: Senior