AI Consulting Architect

Why join CompuNet? CompuNet values its people more than any other asset—and realizes the contributions made by each employee are a reflection of their education, experience, certifications, expertise and passions. We strive to take care of each other, do the right thing and help our customers succeed. We work to build lasting relationships and are proud that our customers across many industries see us as a trusted advisor. Putting the customer at the center of every engagement, our mission is to design, test, deploy and support the right IT solutions for every customer. We offer a generous total compensation package for our employees, including competitive wages, medical, dental, vision, PTO, company-matching retirement plans, profit-sharing and more. CompuNet is seeking an experienced and visionary AI Consulting Architect to drive the growth and evolution of our AI offerings with our customers. In this dual-threat role, you will serve as both a strategic technology leader and a high-impact, customer-facing pre-sales expert. You will bridge established technology domains—including Cloud, Cybersecurity, Enterprise Networking, and Collaboration—while guiding executive-level clients toward transformative AI-driven business solutions. Expectations and Responsibilities Act as a senior business expert and high-level technical authority in customer-facing pre-sales engagements, meeting directly with Executives, Directors, and IT leaders to understand their business challenges. Translate complex enterprise business problems into compelling, tailored AI architectures and solution proposals. Help o rganizations build and frame ROIs for AI business initiatives . Lead technical discussions to highlight the value of our Enterprise AI portfolio , including : Cloud: Hybrid AI workload deployment and scalability. Cybers ecurity: C ompliance and governance frameworks , d ata privacy, and secure LLM integration . Enterprise Networking: Edge-to-cloud connectivity, latency optimization, and infrastructure readiness for AI workloads. Collaboration: Real-time AI integration, customer experience enhancements such as conversational AI , agentic AI digital workers, and omnichannel communications to improve customer experiences, productivity and operating costs. Datacenter: Infrastructure design and deployment. Collaborate with our engineering teams, sales teams, and technical domain leaders to define and refine the long-term s