AI Consulting Architect

CompuNet, Inc.

$135K — $160K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in IT architecture and technical pre-sales, with 3 years in AI and ML solutions.
  • Pre-sales experience with a successful client-facing track record.
  • Ability to lead discussions that link business outcomes to technical solutions for executive teams.
  • Fluency in technologies like datacenter infrastructure, cloud, networking, and collaboration.
  • Proficient in AI/ML concepts including LLMs and AI governance frameworks.
  • Strong communication skills to explain technical concepts to non-technical stakeholders.
  • Experience in scaling AI initiatives in consulting or systems integration.

Responsibilities

  • Act as a senior expert in pre-sales engagements with executives and IT leaders.
  • Translate enterprise business challenges into AI architecture solutions.
  • Assist clients in building and framing ROI for AI initiatives.
  • Lead discussions showcasing the value of the company's AI portfolio.
  • Guide clients on hybrid AI workload deployment and scalability.
  • Collaborate with internal teams to shape CompuNet's AI strategy.
  • Promote scalable and ethical AI deployment best practices.

Benefits

  • Medical, dental, vision, and Employee Assistance Program.
  • Life insurance, disability coverage, and accident insurance.
  • Employee Stock Ownership Plan (ESOP).
  • Company-matching 401(k) plan and profit sharing.
  • Paid Time Off (PTO) and paid holidays.
Full Job Description
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 organizations 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.
  • Cybersecurity: Compliance and governance frameworks, data 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 strategic focus of CompuNet's AI offerings.
  • Stay ahead of emerging AI trends, industry standards, and competitive landscapes to continuously evolve our solution architecture.
  • Champion best practices for scalable, ethical, and high-performance AI deployment across our client base.

Minimum Requirements
  • 10+ years in IT architecture, enterprise engineering, and technical pre-sales, with at least 3 years specializing in Artificial Intelligence, Machine Learning, and Generative AI solutions.
  • Pre-sales acumen with a proven track record of client-facing success.
  • Demonstratable ability to lead high-stakes business discussions marrying outcome to technical solutions in front of executive leadership teams (CIOs, CTOs, CISOs, Directors)
  • Fluency in technology domains like datacenter infrastructure, cloud platforms, enterprise networking, and collaboration ecosystems.
  • AI/ML proficiency including LLMs, RAG architectures, MCP, AI model deployment, and AI governance frameworks.
  • Exceptional verbal and written communication skills with the ability to articulate deeply technical concepts to non-technical business stakeholders.
  • Experiencing scaling AI initiatives and driving enterprise-wide digital transformations within a consulting or systems integration environment.

Compensation and Benefits

We offer a full and comprehensive compensation package, including:
  • Medical, dental, vision, Employee Assistance Program, and Flexible Spending Accounts
  • Life and AD&D insurance, disability coverage, critical illness, and accident insurance
  • Employee Stock Ownership Plan (ESOP)
  • Company-matching 401(k) and profit sharing
  • Paid Time Off (PTO) and paid holidays
  • Competitive salary, with eligibility for variable compensation such as commission, bonuses, and profit sharing included

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