Principal Solution Architect, Data & AI at CDW | CAM, GB | Rezi

Principal Solution Architect, Data & AI at CDW

Principal Solution Architect, Data & AI

CDW · CAM, GB

1 months ago

Principal Solution Architect, Data & AI

CDW · CAM, GB

a month ago
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About the Role

The Principal Solution Architect, AI will act as the expert link between customers, internal sales, and technical architects. This role requires subject matter expertise in positioning CDW Custom AI solutions, identifying and leading customer engagements, and possessing deep knowledge in Predictive AI, Machine Learning, Generative AI, MLOps, Data Pipelines, and DevOps. The architect will interface with customer business, data science, and IT Operations teams to establish CDW credibility and position AI Strategy, Governance, and Platform solutions. The role also supports the development of AI offerings and the architect team through project contributions and knowledge sharing.

Responsibilities

  • Position CDW Custom AI capabilities across all customer AI personas.
  • Act as a Technical SME on CDW Custom AI, maintaining expert knowledge through research and training.
  • Serve as the AI SME link between CDW Solution Sales Specialists, Partner BDMs, and domain platform architects.
  • Build and execute customer-facing demos for Generative AI, MLOps, and Data Pipelines.
  • Architect end-to-end AI systems, integrating data pipelines, ML models, and deployment platforms.
  • Contribute to Offering Development by assessing technology trends and supporting new offering creation.
  • Provide AI Technology Leadership by staying updated on emerging AI technologies and trends.
  • Lead complex engagements requiring expertise across Hybrid Platforms, Modern Workspace, Security, and Services.
  • Provide independent technology viewpoints to customers on leveraging the CDW portfolio for business value.
  • Support the Sales team in new account acquisition by demonstrating expertise and credibility.
  • Contribute to team projects and mentor less experienced team members.
  • Collaborate with customers, salespeople, and BDMs to qualify opportunities and design solutions.
  • Produce high-quality documentation, including solution designs, RFPs, TCO/ROI models, and SoWs.
  • Evangelize CDW capabilities to the customer base, differentiating through services, consulting, and expertise.
  • Explain and evangelize subject matter and adjacent technologies, solutions, and services internally and externally.
  • Build strong internal relationships across Sales, Professional Services, and Managed Services.
  • Cultivate strong relationships with CDW’s partner community.
  • Understand the commercial impact of proposed solutions and assist in choosing the correct solution.
  • Assist CDW Salespeople with technical guidance and evangelize team capabilities.
  • Attain and maintain the highest level of relevant accreditations for the SME area.
  • Utilize social media and other communication channels for self-marketing and raising CDW’s brand profile.

Requirements

  • University or bachelor’s degree or equivalent qualification in Artificial Intelligence is desirable but not essential.
  • AI use case identification and translation to deliverable outcomes that are commercially viable.
  • Be viewed as an expert in the given field by coworkers, partners, and customers.
  • Channel experience, working the VAR, Vendor landscape is desirable.
  • 5+ years of related experience is essential.
  • Evidence of judgement-based decision-making, trade-offs made, unsuitable approaches rejected, risks identified, and commercially credible solutions developed.
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI).
  • Experience with Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories).
  • Understanding of data engineering practices (ETL, data lakes, big data tools like Spark).
  • Knowledge of designing scalable, distributed systems.
  • Familiarity with model lifecycle management and MLOps practices.
  • Ability to align AI initiatives with business outcomes to develop effective use cases and help drive AI Strategies.
  • Experience in pre-sales engagements and client-facing interactions.
  • Passionate about technology and able to demonstrate depth of expertise in Hybrid Infrastructure, Cloud, Workspace, or Security.
  • Broad understanding of technology and its impact on business, with ability to quickly grasp new concepts.
  • Experience managing small groups such as in virtual teams is a bonus.
  • Strong commercial acumen, ideally with solid experience in a channel role.
  • Action / ‘can-do’ attitude whilst managing competing pressures, tight deadlines, and constrained resources.
  • Highly ambitious, credible, motivated, and accountable individual.
  • Appreciation for building meaningful and lasting relationships.
  • Desire and ability to “win hearts and minds” - Confident yet humble in their approach.
  • Detail-oriented with strong time management skills.
  • Capacity to lead and work on multiple initiatives, as well as dynamically prioritise and pivot based on changing business needs.
  • Outstanding communications skills, with the ability to clearly and concisely present concepts and recommendations.
  • High levels of industry-related knowledge with an insatiable thirst for new information.
  • Prepared for occasional travel between CDW UK & International offices.
  • Ability to travel to customer meetings as required, likely on a weekly basis.
  • Ability to allocate time to undertake personal development activities such as attending training, achieving certifications, and focusing on soft-skill development.

Skills

  • Predictive AI
  • Machine Learning
  • Generative AI
  • MLops
  • Data Pipelines
  • DevOps
  • AI Strategy
  • AI Governance
  • AI Platform Solutions
  • Hybrid Platforms
  • Modern Workspace
  • Security
  • Services
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Azure AI
  • AWS SageMaker
  • Google Cloud AI
  • HPE Private AI
  • Nvidia AI Enterprise
  • Dell AI Factories
  • ETL
  • Data Lakes
  • Spark
  • Scalable, distributed systems design
  • Model lifecycle management
  • Pre-sales engagements
  • Client-facing interactions
  • Commercial acumen
  • Channel sales

Location

  • CDW UK & International offices

Work Type

  • Full-time
  • Hybrid

Experience Level

  • Principal
  • 5+ years of related experience

Education Level

  • University or bachelor’s degree or other equivalent qualification in the field of Artificial Intelligence is desirable but not essential

About the Company

  • CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology.
  • At CDW, we act as one—building trust, speaking candidly, and working together to achieve more.
  • We play to win—focusing on what matters most and delivering for our customers.
  • We think forward—staying curious, moving fast, and continuously learning.
  • We believe meaningful work happens when people feel supported, heard, and empowered to contribute.
  • We think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
  • As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes.
  • When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
  • Together, we deliver the full promise of what technology can do.
  • Together, we Make Amazing Happen.

Equal Opportunity

  • CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.