Job description

Position Overview: 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. 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. Essential Functions: Essential Job Function % of Time on Function Create and maintain enterprise and solution architecture for AI products, platforms, and shared AI capabilities 30% Design API integrations, data flows, service interactions, and architectural patterns connecting AI solutions to the enterprise ecosystem 25% Partner with AI product, engineering, data, infrastructure, cybersecurity, and business teams to define requirements and provide architectural guidance 20% Establish architecture standards, governance, documentation, security requirements, and non-functional requirements for enterprise AI solutions 15% Evaluate emerging AI technologies, conversational AI platforms, model services, and reusable enterprise capabilities 10% Total 100% Job 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. Minimum Physical Requirements: The physical demands described represent those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions of the position for which they work. While performing the duties of this position, the employee is regularly required to listen, talk, and hear. The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls while executing tasks like working on a computer or talking on the telephone. The employee is occasionally required to stand; walk; sit; and reach with hands and arms. The employee must occasionally lift and/or move up to 15 pounds. Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus. The noise level in the work environment is usually moderate to low. This job description is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Salary Range (Norwalk, CT): $125,932.60 - $167,910.14 Annual Bonus Potential: 10% HomeServe USA is an equal opportunity employer. #HUSA #LI-NM1 #LI-ONSITE

Requirements

Must-haves

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.
Essential Job Function
% of Time on Function
Create and maintain enterprise and solution architecture for AI products, platforms, and shared AI capabilities
Design API integrations, data flows, service interactions, and architectural patterns connecting AI solutions to the enterprise ecosystem
Partner with AI product, engineering, data, infrastructure, cybersecurity, and business teams to define requirements and provide architectural guidance
Establish architecture standards, governance, documentation, security requirements, and non-functional requirements for enterprise AI solutions
Evaluate emerging AI technologies, conversational AI platforms, model services, and reusable enterprise capabilities
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.

Nice-to-haves

Bachelor’s degree in Computer Science or a related discipline; Master’s degree preferred.
Annual Bonus Potential: 10%

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapimachine learningawsazure

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Vision