Full-Time

Director of AI Solutions & Engineering

AI Solutions, Engineering

Posted on 9/23/2025

Digital Realty

Digital Realty

5,001-10,000 employees

Global data center REIT with interconnection

No salary listed

Dallas, TX, USA

In Person

Category
AI & Machine Learning (2)
,
Required Skills
Scikit-learn
Microsoft Azure
Airflow
React.js
Data Science
Tensorflow
Pytorch
Machine Learning
Next.js
LangChain
Requirements
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field; PhD preferred.
  • 8+ years of experience in AI/ML engineering, software architecture, or enterprise solution delivery, including at least 3 years in a leadership role.
  • Proven track record architecting and deploying AI solutions at scale using Azure cloud services (Semantic Kernel, Functions, Cosmos DB, Azure AI Search, Azure OpenAI).
  • Expert in full-stack development, including front-end (React/Next.js), backend APIs, and cloud-native architectures.
  • Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and experience with NLP, RAG, and AI agent development.
  • Proficiency in AI orchestration frameworks (Semantic Kernel, LangChain) and AI evaluation/observability platforms.
  • Experience integrating vector databases and graph databases into AI/ML solutions.
  • Hands-on experience with AI workflow orchestration tools like n8n, Airflow, or Prefect.
  • Demonstrated experience applying data science methodologies to business problems.
  • Experience implementing AI cost optimization (AI FinOps) and observability practices.
Responsibilities
  • Define and own the enterprise AI architecture blueprint to support Retrieval Augmented Generation (RAG), AI agents, machine learning pipelines, and multi-modal AI solutions.
  • Architect and implement end-to-end AI applications using Azure Semantic Kernel, Azure Functions, Cosmos DB, Azure AI Search, and modern front-end frameworks (React/Next.js).
  • Lead integration of AI solutions with enterprise data sources, APIs, and secure cloud/on-prem environments.
  • Design high-availability, secure, and compliant AI systems aligned to enterprise standards.
  • Oversee ML model lifecycle management from feature engineering and model training to deployment, monitoring, and retraining.
  • Direct data science initiatives that use predictive modeling, NLP, and statistical analysis to inform and optimize business processes.
  • Guide teams in experiment design, A/B testing, and model performance analysis.
  • Ensure ML/AI models are explainable, ethical, and auditable, aligning with governance and compliance requirements.
  • Direct and contribute to development across the full stack—from prompt engineering and orchestration to data pipelines, model integration, and UI/UX.
  • Build AI evaluation frameworks with automated testing, benchmarking, and real-time performance monitoring.
  • Implement AI Observability solutions for accuracy, latency, drift detection, hallucination monitoring, and bias detection.
  • Integrate AI FinOps practices to measure, manage, and optimize AI infrastructure costs.
  • Champion the use of AI-assisted coding, testing, and documentation tools to maximize team productivity.
  • Leverage n8n and similar workflow automation platforms to orchestrate AI pipelines and integrate with business processes.
  • Continuously evaluate and adopt cutting-edge AI frameworks, SDKs, and cloud-native services.
  • Partner with product, engineering, and business leaders to define AI/ML roadmaps, project priorities, and success metrics.
  • Communicate architectural decisions and technical trade-offs to C-level executives and technical teams alike.
  • Lead AI engineering and data science standards, governance, and best practices across the organization.
Desired Qualifications
  • Experience in multi-agent AI systems, reinforcement learning, or generative AI product delivery.
  • Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and modern DevOps practices.
  • Knowledge of security, compliance, and ethical AI considerations for enterprise deployments.

Digital Realty Trust owns and operates a global portfolio of data centers that it leases to cloud providers, enterprises, and service firms. It makes money mainly from long-term leases of space, ranging from wholesale and hyperscale capacity to retail colocation, plus growing interconnection services that link customers to clouds and networks inside its facilities. The company differentiates itself with a large global footprint, a history of strategic acquisitions, and a strong focus on sustainability and renewable energy to fund its projects. Its goal is to provide a scalable, interconnected digital infrastructure platform that supports customers’ multi‑cloud needs and data workloads while expanding its own portfolio and services.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

Austin, Texas

Founded

2004

Simplify Jobs

Simplify's Take

What believers are saying

  • Record 200MW AI inference lease drives 21% AI bookings and $1.8B backlog.
  • $3.25B hyperscale fund fuels $16.5B pipeline at 11.4% yields.
  • S$7B Singapore and €2B Italy investments capture AI demand in constrained markets.

What critics are saying

  • Equinix displaces Digital Realty in Northern Virginia's sub-5% vacancy market within 12 months.
  • Loudoun County grid queues delay hyperscale builds by 3-5 years via Dominion Energy.
  • Singapore government rejects Digital Realty's 60MW bid, awarding to Equinix in 6 months.

What makes Digital Realty unique

  • PlatformDIGITAL® enables secure interconnections across 300+ facilities in 55+ metros.
  • Carrier-neutral model connects 5,000+ customers to 140+ cloud providers in key hubs.
  • REIT structure delivers stable long-term leases with 99.999% uptime over a decade.

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Benefits

Professional Development Budget

Wellness Program

Company News

City Journal
Apr 30th, 2026
Loudoun County, Virginia: The Heart of the Data-Center Boom

Garry Tan (YC CEO) shared: $425B spent building US data centers in 2025 = ~1.5% of GDP. Loudoun County, Virginia is the epicenter of the data center boom, home to major facilities from Equinix, Digital Realty, AWS, and others.

Bloomberg L.P.
Apr 14th, 2026
Digital Realty to invest $2.3B in Italian data centres over five years

Digital Realty Trust plans to invest €2 billion in Italy over the next five years as part of a Mediterranean-focused expansion in Europe. The Austin-based data centre operator will construct facilities in Rome and Milan, expecting to hire hundreds of local staff. The investment reflects growing demand for data centre infrastructure in Southern Europe as companies expand their digital operations across the region.

Data Centre Dynamics Ltd
Apr 9th, 2026
Digital Realty pledges S$7 billion investment in Singapore, including new data centers.

Digital Realty pledges S$7 billion investment in Singapore, including new data centers. Company looks to add to three existing facilities in a constrained market April 09, 2026 US colocation giant Digital Realty is planning a large-scale investment in Singapore. The company this week announced it is targeting nearly S$7 billion (US$5.48bn) of total investment in Singapore. Digital's SIN12 facility in Singapore - Digital Realty That figure includes more than S$4.3 billion (US$3.37bn) planned for new data center developments, building on existing investments. Further details of any new facilities were not shared. "Singapore is emerging as a critical hub for AI inference in Asia Pacific," said Serene Nah, managing director and head of Asia Pacific, Digital Realty. "As organizations deploy AI in real-world environments, they need secure, highly connected infrastructure close to where data is created and consumed. This S$7 billion investment target demonstrates our confidence in Singapore's role as the region's AI infrastructure anchor. We're not just expanding capacity - we're building the operational capabilities, innovation facilities, and local talent base needed to support customers as AI enters production at scale." Digital Realty currently lists three data centers in Singapore: SIN10, SIN11, and SIN12, totaling 925,000 sq ft (85,900 sq ft) of colocation space and 70MW of capacity. The company first entered Singapore in 2010, acquiring a newly developed data center. First announced in 2019, the 50MW SIN12 (also known as Digital Loyang II) launched in 2021. Announced in 2015, the 13MW SIN11 (aka Digital Loyang I) was redeveloped from a former paper store and launched in 2016. Singapore has had a moratorium on new data center developments since 2019 (although already authorized facilities were allowed to be built after this point), but this is starting to be relaxed. Equinix, GDS, Microsoft, and a consortium of AirTrunk and TikTok-owner ByteDance were collectively allocated 80MW of capacity in 2023. Digital reportedly missed out on a capacity allocation, with reports suggesting the company had applied to develop a 60MW facility. The Singapore government is currently requesting applications for further data center projects, and is set to allow up to 200MW of capacity to be developed. Get a roundup of the latest regional news across Asia fortnightly. More in colocation & wholesale.

Yahoo Finance
Apr 8th, 2026
Digital Realty opens first Asia Pacific innovation lab in Japan amid $69B AI investment push

Digital Realty has opened its first Asia Pacific innovation lab in Tokyo, Japan, marking the second such facility globally after Northern Virginia. The Digital Realty Innovation Lab at the NRT12 data centre is designed to help enterprises test and optimise AI and hybrid cloud architectures under real-world conditions. Established through MC Digital Realty, a joint venture between Digital Realty and Mitsubishi Corporation, the facility supports Japan's push to invest over 10 trillion yen in semiconductor and AI technologies by 2030. The lab features both air-cooled and direct liquid-cooled environments for high-power-density workloads. Over 20 partner companies are currently using the facility to explore AI-ready infrastructure. Digital Realty plans to launch a third innovation lab in Singapore in the second half of 2026.

Yahoo Finance
Apr 8th, 2026
Digital Realty opens NRT14, third data centre at Japan campus, boosting IT capacity to nearly 100MW

Digital Realty has opened NRT14, its third data centre at the NRT campus in Inzai City, Japan. The facility brings the campus's total IT power capacity to nearly 100 megawatts. Developed through MC Digital Realty, a 50/50 joint venture with Mitsubishi Corporation, NRT14 features hybrid liquid- and air-cooling capabilities optimised for next-generation graphics processing units. The facility is amongst the first in Japan to achieve DGX-Ready Data Center certification, enabling it to support high-density AI workloads exceeding 100 kilowatts. NRT14 offers colocation services of up to 150 kilowatts per rack and provides a low-latency network environment. The facility addresses growing demand in the Tokyo metropolitan area for scalable data centres supporting AI training and inference deployments.

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