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Senior Solutions Architect
Digital Realty. Support clients in developing and executing AI-driven solutions across public, private, and hybrid cloud environments .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesAWSAzureCloudKubernetesPyTorchTensorflow
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