Nvidia Director Applications Engineering - Digital Workplace Enterprise AI 

United States, California 

734886899

As Director of Applications Engineering for Digital Workplace & Enterprise AI, you lead strategy and drive impactful results for the enterprise. Your responsibilities will include leading application engineering and AI integration efforts, enhancing the digital workplace experience, and outlining architectural strategies aimed at driving significant advancements in the digital employee experience within the enterprise. Define SaaS app strategy, from discovery to AI governance, promote innovation culture and drive impact.

What you'll be doing:

Strategic Architecture & Governance

• Identify, develop, and implement solutions within enterprise SaaS ecosystems—covering Atlassian, Microsoft 365, Google Workspace, Slack, Perplexity, Datadog, and more—to establish core workflows that boost developer efficiency and improve the overall employee experience.

• Define enterprise AI reference architecture (LLMs, MLOps, vector DBs, RAG patterns, multimodal), aligning Product, IT, and Business roadmaps.

• Own technology standards, guardrails, and domain-specific patterns—balancing innovation with security, privacy, and ethical use.

• Maintain a capability maturity model and staged roadmap for AI, setting clear gate criteria, value metrics, and compliance checkpoints for safe, predictable advancement.

Delivery & Enablement

• Lead strategy and delivery for internal business applications, collaboration platforms, and digital workplace technology, ensuring intuitive, secure systems for efficiency and scale.

• Direct multi-functional teams to turn user experience challenges and aging backlogs into production-ready solutions.

• Drive adoption of AI assistants and copilot technologies, and deliver strategic automations through focused engineering squads.

• Pilot AI-powered technologies and coordinate production deployments, collaborating with Security & Legal on model provenance, IP protection, and risk management.

Value Realization & Evangelism

• Develop and supervise benchmarks, XLAs, and release quarterly AI impact scorecards that translate technical outcomes into important indicators.

• Share results, successes, and findings with executive forums and multi-functional teams, showcasing new opportunities and building momentum.

• Mentor domain architects, data scientists, engineers, and business stakeholders—running workshops and promoting experimentation, continuous improvement, and shared success.

• Manage budgets, vendor relationships, sourcing, and outcome-based contracts for internal tech and workplace systems.

What we need to see:

• 12+ overall years enterprise architecture, IT leadership, or large-scale software engineering (including SaaS, digital workplace, and AI/ML systems) with 6+ years Leadership experience.

• 5+ years experience implementing AI/ML solutions in business settings; expertise in cloud AI technologies.

• Demonstrated expertise in deploying and operationalizing AI across multiple business and enterprise domains.

• Practical involvement in SaaS application integration, operations using cloud-native technology, and managing the lifecycle of digital workplace devices.

• Strong capability in automation tooling, identity protocols (SCIM, SAML), observability,infrastructure-as-code,and CI/CD.

• Proven governance experience over model lifecycle, data privacy (GDPR/CCPA), and AI ethics; influential communicator across technical and business domains.

• Track record in project management, iterative tech rollouts, executive storytelling with data, and building high-trust teams.

• Degree or equivalent experience in Computer Science, Information Systems, Engineering, or related field preferred; advanced certifications and MBA a plus.