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Digital Realty

Senior Solutions Architect

Digital Realty

. Support clients in developing and executing AI-driven solutions across public, private, and hybrid cloud environments .

Posted 9/30/2026full-timeUnited StatesSenior💰 $175,000 - $185,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and executing AI-driven solutions across cloud environments, with a strong focus on client engagement and technical advisory roles. Proficient in translating business needs into AI technical requirements and designing scalable architectures for data-driven applications.

Highest-signal resume keywords
AI Model DevelopmentCloud Computing ExpertiseSolution SellingTechnical WritingClient-Facing Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI TechnologiesData Management TechniquesArchitecture AssessmentCost Model DevelopmentAI FrameworksCloud OrchestrationScalable Architecture DesignAI Deployment Lifecycle ManagementReal-Time AnalyticsDevOps Practices
Soft Skills
Exceptional Communication SkillsMentoringFacilitation
Tools & Technologies
Google AIAWS SageMakerMicrosoft Azure AIKubernetesTensorFlowPyTorch
Certifications & Qualifications
Bachelor's Degree in EngineeringBachelor's Degree in Computer ScienceBachelor's Degree in Data Science
Industry Keywords
Cloud EnvironmentsDigital TransformationHigh-Tech IndustriesAI EthicsData LakesData Warehouses

Tech Stack

Tools & technologies
AWSAzureCloudKubernetesPyTorchTensorflow

About the role

Key responsibilities & impact
  • Support clients in developing and executing AI-driven solutions across public, private, and hybrid cloud environments
  • Educate customers about Digital Realty’s value proposition
  • Participate in sophisticated architectural discussions
  • Ensure solutions are designed for optimal deployment, performance, and total cost of ownership
  • Conceptualize and communicate complex AI solutions to technical and non-technical audiences
  • Translate customer business needs into specific AI technical requirements
  • Conduct assessments to identify AI architecture enhancements and service delivery improvements
  • Facilitate client workshops to understand current architecture and identify gaps for AI solutions
  • Develop cost models highlighting ROI and total cost of ownership
  • Serve as technical advisor and mentor to Digital Realty’s sales team
  • Share insights on AI technologies and digital transformation strategies
  • Foster understanding of AI trends and implications for customer success
  • Collaborate with customers to develop insights-based, data-driven technical solutions and value propositions on PlatformDIGITAL®

Requirements

What you’ll need
  • 5+ years of technical experience focused on cloud computing and AI applications
  • Experience ideally within hosting/cloud companies or IT consulting
  • Demonstrated success in solution selling and technical support in high-tech environments, focused on AI and data-centric solutions
  • Exceptional communication skills
  • Proven track record in proposal development, customer presentations, and technical writing
  • Bachelor's Degree in Engineering, Computer Science, Data Science, or a related technical field
  • Experience with AI model development and deployment lifecycle management preferred
  • Familiarity with leading AI platforms and services such as Google AI, AWS SageMaker, or Microsoft Azure AI preferred
  • Client-facing operations or technical sales experience, particularly in high-tech industries, preferred
  • Deep understanding of AI technologies, frameworks, and models
  • Expertise deploying AI solutions on public, private, and hybrid cloud platforms
  • Experience with cloud orchestration and automation tools, including Kubernetes, TensorFlow, and PyTorch
  • Understanding of data management techniques and AI ethics
  • Strong background designing scalable architectures for data-driven applications, including data lakes, data warehouses, and real-time analytics
  • Familiarity with DevOps practices in AI deployment, including CI/CD pipelines and model versioning
  • Ability to translate customer business needs into AI technical requirements
  • Ability to conduct architecture assessments and identify service delivery improvements
  • Ability to develop cost models addressing ROI and total cost of ownership

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • AD&D insurance
  • 401(k) match
  • Disability benefits
  • Wellness benefits
  • Education benefits
  • Employee stock purchase plan
  • Paid time off
  • Holidays
  • Competitive compensation package
  • Supportive and inclusive work environment
  • Development opportunities
  • Career growth opportunities
  • Cash bonus or commissions and equity awards may be included in total compensation