AI Consulting Architect

CompuNet, Inc.

$150K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in IT architecture and technical pre-sales, including 3+ years in AI and ML solutions.
  • Proven pre-sales success with client-facing roles.
  • Experience leading high-level discussions with executive leadership (CIOs, CTOs, etc.).
  • Fluency in technology domains like cloud, datacenter, and networking.
  • Strong AI/ML skills, including LLMs and governance frameworks.
  • Excellent communication skills for translating complex concepts to non-technical audiences.
  • Experience scaling AI initiatives in consulting or systems integration.

Responsibilities

  • Act as a senior expert in customer-facing pre-sales engagements.
  • Translate enterprise business problems into tailored AI architectures.
  • Support organizations in building ROI frameworks for AI initiatives.
  • Lead discussions showcasing the value of the Enterprise AI portfolio.
  • Collaborate with engineering and sales teams to refine AI strategy.
  • Stay updated on AI trends and competitive landscapes.
  • Champion best practices for ethical AI deployment.

Benefits

  • Medical, dental, and vision coverage.
  • Employee Assistance Program and Flexible Spending Accounts.
  • Life, disability, and critical illness insurance.
  • Employee Stock Ownership Plan (ESOP).
  • Company-matching 401(k) 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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