Director of AI Platform Strategy & Engineering Operations

Our client is seeking a strategic and technically astute leader to oversee the design, delivery, and management of scalable AI platforms that power enterprise-wide initiatives. This role is ideal for someone who thrives at the intersection of advanced engineering, platform operations, and strategic business alignment. You'll drive the evolution of next-gen AI systems - including generative AI, intelligent agents, and decision support platforms-while championing operational rigor, innovation, and responsible AI practices.

Key Focus Areas:
Platform Strategy & Execution

• Define and implement a comprehensive roadmap for enterprise AI capabilities, including generative AI tools, agent-based frameworks, and decision intelligence platforms.
  
• Architect and optimize scalable, secure, cloud-native AI infrastructure to support diverse workloads (traditional ML, generative AI, real-time agents).
  
• Manage platform services across the full lifecycle-from development to production-ensuring high performance, security, and compliance in a regulated environment.
  
• Partner closely with senior stakeholders to align platform investments with critical business outcomes (e.g., operational efficiency, risk modeling, customer experience).
  

Engineering & Operational Excellence

• Lead the development of robust AI/ML pipelines and platform tooling (e.g., CI/CD for model deployment, observability, rollback strategies).
  
• Oversee platform reliability, performance tuning, and automated scaling capabilities using modern MLOps tools and cloud infrastructure (AWS, Google Cloud Platform, or Azure).
  
• Establish governance processes that ensure transparency, fairness, and accountability in AI usage, including model explainability and bias mitigation.
  
• Drive platform reliability and uptime, troubleshooting complex technical issues and proactively enhancing system resilience.
  

Innovation & Emerging Tech

• Incubate and scale cutting-edge AI applications such as:
  
  
• Generative AI for document automation and data synthesis.
  
• Intelligent agents for real-time support and operational triage.
  
• Collaborative environments for rapid prototyping and model iteration.
  
• Multimodal AI for enriched user interactions.
  

• Stay ahead of market trends, evaluating tools and frameworks to keep the platform future-ready and competitive.
  

???????Leadership & Team Development

• Experience: 15+ years in engineering, technology strategy, or platform leadership roles-ideally with exposure to both AI/ML systems and large-scale enterprise operations in regulated industries.
  
• Technical Depth: Proficiency in Python, cloud-native AI/ML platforms (e.g., SageMaker, Vertex AI), orchestration frameworks (Docker, Kubernetes), and MLOps tooling (Kubeflow, MLflow, etc.).
  
• AI Expertise: Hands-on experience with generative AI ecosystems (e.g., LangChain, Hugging Face), autonomous agents (e.g., CrewAI, AutoGen), and vector databases.
  
• Leadership: Proven success managing complex programs and large technical teams, with strong cross-functional alignment skills.
  
• Education: Bachelor's or Master's in Computer Science, Engineering, or a related field; advanced degree preferred.
  
• Other: Strong business acumen and ability to communicate clearly across both technical and executive audiences.
  

Ideal Background:

• Build and lead a multidisciplinary team of engineers, architects, and technical specialists focused on platform scalability, innovation, and delivery excellence.
  
• Create a culture of technical mastery, collaboration, and continuous improvement across engineering, business, and compliance teams.
  
• Oversee vendor strategy and workforce development initiatives tied to AI and ML capabilities.
  

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