AI Solutions Architect / Forward-Deployed Engineer

Carrier Enterprise • Orlando, FL

18h • Remote

About The Position

Carrier Enterprise is seeking a strategic, hands-on AI leader to identify, design, and deliver enterprise AI solutions that create measurable business value. The role partners with business and technology teams to assess opportunities, build production-ready generative AI and automation solutions, establish governance and best practices, and support adoption at scale. The position combines software engineering and AI expertise with business acumen, stakeholder influence, and the ability to turn complex business challenges into secure, scalable, high-impact solutions.

Carrier Enterprise is a national distributor of residential and light commercial HVAC products, parts, and supplies. It serves licensed HVAC/R dealers and contractors through more than 200 locations across 28 states, Puerto Rico, the Caribbean, Latin America, Mexico, and Canada.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in enterprise solution architecture, forward-deployed engineering, software engineering, or technical consulting, with a record of taking 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 quantifying baselines, benefits, implementation and operating costs, risks, assumptions, and KPIs.
• Excellent communication, facilitation, and stakeholder management skills, including the ability to engage executives, business leaders, architects, engineers, and governance partners.

Nice To Haves

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

Responsibilities

• Map business processes and assess data readiness to identify and prioritize AI opportunities by 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 involving 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.
• Partner with business teams to prototype, validate, and productionize AI solutions for operational challenges.
• Build and review code, integrations, data transformations, and AI workflows, and proactively remove technical and delivery roadblocks.
• Establish governance frameworks covering privacy, access controls, testing, evaluation, human oversight, observability, deployment, support, and lifecycle management.
• Align executives and delivery teams, communicate tradeoffs and realized value, and scale successful solutions using reusable standards and components.

Benefits

• Health insurance
• Health Savings Account
• Dental insurance
• Vision insurance
• Life insurance
• Short-term and long-term disability insurance
• Employee Assistance Program (EAP)
• Tuition reimbursement
• Professional development
• Paid vacation and sick time
• Company-paid holidays
• 401(k) plan with employer match
• Employee discount program

What This Job Offers

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