Senior AI Solutions Architect — Pre-Sales Leader

CompuNet, Inc.; Anchorage (AK); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, vision

ESOP

Company-matching 401(k) & profit share

PTO & paid holidays

Job summary

CompuNet, Inc. seeks an experienced AI Consulting Architect to drive AI offerings with customers in a senior, pre-sales capacity. You will bridge Cloud, Cybersecurity, Networking, and Collaboration domains while guiding executives toward transformative AI-driven solutions.

In this dual technical and business leadership role, you will translate enterprise challenges into AI architectures, define ROIs, and help customers realize scalable, ethical AI deployments.

Qualifications

• 10+ years in IT architecture and enterprise engineering with at least 3 years in AI/ML and Generative AI.
• Proven pre-sales track record with client-facing success.
• Ability to lead executive-level discussions and translate tech to business outcomes.
• Fluency in datacenter, cloud, networking, and collaboration ecosystems; AI governance familiarity.

Responsibilities

• Act as senior business expert and high-level technical authority in customer-facing pre-sales engagements with executives.
• Translate complex enterprise problems into tailored AI architectures and solution proposals.
• Help organizations frame ROIs for AI initiatives.
• Lead technical discussions to highlight the value of our Enterprise AI portfolio across Cloud, Cybersecurity, Networking, and Collaboration.
• Stay ahead of emerging AI trends and champion scalable, ethical AI deployment.

Skills

IT architecture

Executive pre-sales

AI/ML proficiency

Client-facing communication

Cloud & data center

Job description

CompuNet, Inc. seeks an experienced AI Consulting Architect to drive AI offerings with customers in a senior, pre-sales capacity. You will bridge Cloud, Cybersecurity, Networking, and Collaboration domains while guiding executives toward transformative AI-driven solutions.

In this dual technical and business leadership role, you will translate enterprise challenges into AI architectures, define ROIs, and help customers realize scalable, ethical AI deployments.