Job DescriptionPosition Title: Senior Solutions ArchitectLocation - Hybrid: Chicago, IL | Dallas, TX | Ashburn, VA | Los Angeles, CAYour RoleDigital Realty is seeking an innovative and outcome-driven individual to join our growing team as a Sr. Solutions Architect. This role will focus on supporting our clients in developing and executing AI-driven solutions that leverage public, private, and hybrid cloud environments. You will be a critical member of the Global CTO Organization, educating customers about Digital Realty's value proposition and participating in sophisticated architectural discussions that ensure solutions are designed for optimal deployment, performance, and total cost of ownership. A strong understanding of all Digital Realty product lines and a comprehensive view of the global data center ecosystem are essential.
What You'll Do AI & Cloud Computing- Deep understanding of AI technologies, frameworks, and models, with experience in their application within cloud environments.
- Expertise in deploying AI solutions on public, private, and hybrid cloud platforms, focusing on infrastructure optimization for machine learning and data processing.
- Experience in cloud orchestration and automation tools, emphasizing AI integration (e.g., Kubernetes, TensorFlow, Pytorch).
- Understanding of data management techniques and AI ethics, ensuring compliance with relevant standards and best practices.
Enterprise Architecture- Strong background in designing scalable architectures for data-driven applications, including data lakes, data warehouses, and real-time analytics.
- Proven ability to conceptualize and communicate complex AI solutions to both technical and non-technical audiences, tailoring content according to the audience's expertise.
- Familiarity with DevOps practices in AI deployment, including CI/CD pipelines and model versioning, to enhance collaboration across teams.
Solution Selling and Technical Consultation- Ability to translate customer business needs into specific AI technical requirements and advocate for data-driven solutions that improve operational efficiencies and business outcomes.
- Conduct assessments to identify opportunities for AI architecture enhancements and service delivery improvements.
- Collaborate with clients to facilitate workshops that gather insights into their current architecture and identify gaps for potential AI solutions.
- Develop cost models that highlight ROI and total cost of ownership, guiding clients in their investment decisions related to AI.
Leadership & Mentorship- Serve as a technical advisor and mentor to Digital Realty's sales team, sharing insights on AI technologies and digital transformation strategies.
- Foster an understanding of AI trends and their implications for customer success within the sales organization and beyond.
What You'll Need- 5+ years of technical experience with a focus on cloud computing and AI applications, ideally within hosting/cloud companies or IT consulting.
- Demonstrated success in solution selling and technical support in high-tech environments, with a focus on AI and data-centric solutions.
- Exceptional communication skills with a 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.
Preferred Qualifications- Experience with AI model development and deployment lifecycle management.
- Familiarity with leading AI platforms and services (e.g., Google AI, AWS SageMaker, Microsoft Azure AI).
- Client-facing operations or technical sales experience, particularly in high-tech industries.
Our Compensation PhilosophyDigital Realty offers its employees a highly competitive compensation package, excellent benefits, and an environment that recognizes and rewards your contributions. Central to our compensation philosophy is rewarding our employees for achieving the values and objectives aligned to the company's overall goals and values.
Our published pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and geographical location. Individual pay is based on additional factors including but not limited to job-related skills, experience, and relevant education and/or training. Moreover, an employee's total compensation package varies by role and may include salary, cash bonus or commissions, and equity awards not quantified below.
Compensation Range: $175,000 - $185,000 annually. This compensation range represents the Company's good faith belief as to what it will pay as a base salary for this position at the time of this posting.
Benefits: For this role, benefits include medical, dental, vision, life and AD&D insurance, 401(k) match, disability benefits, wellness and education benefits, employee stock purchase plan, paid time off, holidays, and more.
