Director of the SHI Advanced Growth Technologies (AGT) AI Lab and Data Center Facility (DCF)
The Director of the SHI Advanced Growth Technologies (AGT) AI Lab and Data Center Facility (DCF) will lead end-to-end AI innovation across infrastructure, platform engineering, and solution development. This role owns the vision, strategy, and execution of a cutting-edge AI lab environment—spanning physical and virtual design, hardware and software platforms, and full-stack AI solutions. This senior leadership position is for a deeply technical, forward‑thinking expert who combines hands‑on engineering mastery with strategic leadership. The Director will enable customers, partners, and internal teams to prototype, validate, and scale transformative AI solutions while shaping the future of enterprise AI at SHI.
Role Description
- Own and drive the design, deployment, and ongoing optimization of AI lab infrastructure, including physical facilities and virtual environments.
- Lead full‑stack solution engineering efforts integrating compute, networking, storage, Kubernetes, and secure orchestration for scalable AI workloads.
- Guide teams in developing, training, fine‑tuning, and scaling AI models, agentic workflows, and Retrieval‑Augmented Generation (RAG) pipelines across major AI frameworks, including NVIDIA technologies.
- Collaborate with internal teams, customers, partners, and OEMs to deliver end‑to‑end AI solutions from infrastructure through application layers.
- Establish and maintain technical documentation, architectural standards, solution catalogs, and engineering best practices.
- Oversee observability, lifecycle management, licensing, entitlement planning, and optimization of lab assets across multiple vendors.
- Mentor and develop engineers, researchers, and developers, fostering a culture of innovation, technical rigor, and continuous improvement.
- Lead customer, partner, and OEM engagements, including demos, workshops, events, and executive briefings that showcase AI lab capabilities.
- Engage with open‑source communities, industry forums, and emerging AI ecosystems to stay ahead of technology trends.
- Design, validate, and deploy AI solutions for both internal stakeholders and external customers.
Behaviors and Competencies
- Leadership: Lead strategic team initiatives, inspire others, and foster a culture of shared responsibility and continuous improvement.
- Strategic Thinking: Analyze complex situations, drive organizational transformation, and adapt strategies to changing market conditions.
- Business Acumen: Provide strategic guidance and insights to drive overall business success.
- Communication: Lead and model exceptional communication at all levels of the organization; develop and implement communication strategies; coach others to improve their communication skills.
- Change Management: Lead and model exceptional change management at all levels; develop and implement change management strategies.
- Collaboration: Lead complex team projects, inspire others to collaborate effectively, and foster a culture of mutual respect and shared purpose.
- Technical Expertise: Create new applications for technical knowledge and skills; lead the development of technical standards and procedures.
- Problem‑Solving: Lead strategic problem‑solving initiatives; inspire others to improve their problem‑solving skills; foster a culture of proactive problem‑solving.
- Results Orientation: Inspire a culture of results‑orientation across the organization; set high standards and hold everyone accountable for achieving results.
- Strategic Implementation: Lead the development and execution of comprehensive strategic plans; inspire and guide teams; drive organizational change to achieve strategic objectives.
- Adaptability: Drive strategic transformations; inspire others to embrace change; foster a culture of continuous adaptation.
Skill Level Requirements
- Expert‑level knowledge across AI infrastructure and full‑stack engineering, including compute architecture, Kubernetes orchestration, networking, storage platforms, and security.
- Deep experience architecting and delivering end‑to‑end AI solutions, from hardware and infrastructure through model execution and application integration.
- Strong hands‑on expertise in AI frameworks and platforms, including NVIDIA technologies and modern AI tooling.
- Proven experience with model training, fine‑tuning, inference, agentic systems, RAG pipelines, and large‑scale evaluation.
- Ability to translate complex technical concepts into clear guidance for engineers, partners, customers, and executives.
- Demonstrated leadership in building and scaling high‑performing technical teams within fast‑evolving technology domains.
Other Requirements
- Extensive experience leading AI labs, data center environments, or advanced technology platforms supporting high‑performance AI workloads.
- Strong self‑directed learning mindset with the ability to stay current in rapidly evolving AI, infrastructure, and platform ecosystems.
- Excellent communication, presentation, organizational, and time‑management skills.
- Willingness to work flexible schedules, including evenings and weekends as project needs require.
- Ability to travel up to 25% for customer, partner, and industry engagements.
- Advanced certifications, published research, or a strong record of open‑source contributions in AI or related fields are a plus.
Compensation and Benefits
The estimated annual pay range for this position is $200,000 - $300,000, which includes a base salary and bonus. Compensation is dependent on job‑related knowledge, skills, experience, and market location, and will vary by individual. Benefits may include medical, vision, dental, 401(k), and flexible spending.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
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