AI Solutions Architect / Forward-Deployed Engineer

AI Solutions Architect / Forward-Deployed Engineer| HVAC Products| Carrier Enterprise| Orlando Remote

Introduction:

 Carrier Enterprise (CE) is a national distributor of residential and light commercial Heating, Ventilation and Air Conditioning (HVAC) products, parts and supplies through licensed HVAC/R dealers and contractors. CE operates primarily in the business-to-business environment where its products are sold through licensed HVAC dealers and HVAC contractors. These dealers are independent companies that sell, deliver and service Carrier, Bryant & Payne products to residences and businesses in their respective markets.  CE offers customers a wide range of HVAC/R product lines, competitive pricing, best in class customer service and valuable, timesaving services that positions CE as an industry leader. With over 200+ locations, in 28 states, Puerto Rico, the Caribbean, Latin America, Mexico and Canada there is a location to service our customers HVAC/R needs.

Summary:

This role serves as a strategic and hands-on AI leader responsible for identifying, designing, and delivering enterprise AI solutions that drive measurable business value. The position partners closely with business and technology teams to evaluate opportunities, build production-ready generative AI and automation solutions, establish governance and best practices, and ensure successful adoption at scale. The ideal candidate combines strong software engineering and AI expertise with business acumen, stakeholder influence, and a proven ability to translate complex business challenges into secure, scalable, and high-impact solutions.

Essential Responsibilities

• Map business processes and assess data readiness to identify high-value AI opportunities, prioritizing initiatives based on business impact, feasibility, risk, and expected ROI.
• Define baselines, cost models, success metrics, and value realization plans to measure outcomes and ensure accountability.
• Design secure, scalable AI solutions spanning generative AI, automation, integrations, APIs, data pipelines, and intelligent agents.
• Select models, architectures, and implementation patterns based on accuracy, latency, explainability, security, reliability, and cost considerations.
• Partner directly with business teams to prototype, validate, and productionize AI solutions that address real operational challenges.
• Build and review code, integrations, data transformations, and AI workflows while proactively removing technical and delivery roadblocks.
• Establish governance frameworks that incorporate privacy, access controls, testing, evaluation, human oversight, observability, deployment, support, and lifecycle management.
• Lead stakeholder alignment across executives and delivery teams, communicate tradeoffs and realized value, and scale successful solutions through reusable standards and components.

 Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems or related field 
• 5+ years in enterprise solution architecture, forward-deployed engineering, software engineering, or technical consulting, with a record of moving ambiguous business problems through production adoption and measurable results.
• Strong Python and/or Node.js/TypeScript skills with experience building APIs, integrations, data workflows, automation, SQL solutions, event-driven systems, and cloud-native applications on AWS, Azure, or GCP.
• Practical experience implementing generative AI and LLM solutions, including retrieval-augmented generation (RAG), tool integration, agents, model evaluation, and cost/performance optimization.
• Experience designing and delivering secure, private, reliable, observable, scalable, and maintainable production-grade solutions.
• Ability to develop business cases that quantify baselines, benefits, implementation and operating costs, risks, assumptions, and key performance indicators (KPIs).
• Excellent communication, facilitation, and stakeholder management skills with the ability to engage executives, business leaders, architects, engineers, and governance partners effectively.

Preferred Qualifications

• Experience within the distribution industry.
• Experience leading enterprise-wide adoption of reusable architectures, shared components, and scalable delivery patterns.

Benefits:  

• Health Insurance  
• Health Savings Account 
• Dental Insurance 
• Vision Insurance 
• Life Insurance 
• Disability Insurance (Short-term and Long-term) 
• Employee Assistance Program (EAP) 
• Tuition Reimbursement & Professional Development 
• Paid Vacation & Sick time 
• Company Paid Holiday's 
• 401(k) Plan with Employer Match 
• Employee Discount Program 

Invitation to Apply 

Full-time and part-time positions are available. To explore this exciting Account Executive opportunity and other career opportunities at Carrier Enterprise, visit our careers page at www.carrierenterprise.com/careers. Learn more about our company and team.  

Equal Opportunity Statement: 

Carrier Enterprise, LLC is an Equal Opportunity Employer and does not discriminate on the basis of age, color, race, religion, disability, sex, or national origin. We support a diverse and inclusive workplace where we employ, retain, terminate, and otherwise treat all employees and job applicants on the basis of merit, qualifications, and competence. 

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems or related field 
• 5+ years in enterprise solution architecture, forward-deployed engineering, software engineering, or technical consulting, with a record of moving ambiguous business problems through production adoption and measurable results.
• Strong Python and/or Node.js/TypeScript skills with experience building APIs, integrations, data workflows, automation, SQL solutions, event-driven systems, and cloud-native applications on AWS, Azure, or GCP.
• Practical experience implementing generative AI and LLM solutions, including retrieval-augmented generation (RAG), tool integration, agents, model evaluation, and cost/performance optimization.
• Experience designing and delivering secure, private, reliable, observable, scalable, and maintainable production-grade solutions.
• Ability to develop business cases that quantify baselines, benefits, implementation and operating costs, risks, assumptions, and key performance indicators (KPIs).
• Excellent communication, facilitation, and stakeholder management skills with the ability to engage executives, business leaders, architects, engineers, and governance partners effectively.