Senior Director, Enterprise AI & Automation

What you'll do

• Own the enterprise-wide strategy and execution of AI, Generative AI, Agentic Automation, MLOps, and RPA capabilities.
• Manage the full AI lifecycle from initial ideation and proof of concept to production deployment across multiple business domains.
• Architect and govern multi-agent frameworks and LLM-powered tools for complex, multi-step workflows.
• Oversee the development of fine-tuning, prompt engineering, and domain adaptation for various enterprise use cases.
• Manage multi-cloud AI infrastructure across Azure, AWS, and GCP to provide secure access to over 100 models.
• Lead MLOps programs including training pipelines, CI/CD for machine learning, feature stores, and production monitoring.
• Direct the RPA Center of Excellence to deliver measurable cost avoidance and automate high-volume support requests.
• Establish AI governance frameworks covering bias detection, explainability, and compliance in collaboration with legal and security teams.

What we're looking for

• 15+ years of experience in software engineering, data science, or AI/ML.
• 7+ years of experience leading large engineering or AI teams.
• Proven track record delivering enterprise-scale AI/GenAI programs and building production MLOps platforms.
• Experience deploying RPA programs at scale using tools like UiPath, Blue Prism, or Automation Anywhere.
• Hands-on experience with agentic AI frameworks such as LangChain, AutoGen, or CrewAI.
• Expertise in LLM fine-tuning, prompt engineering, RAG architectures, and multi-cloud AI platforms.
• Proficiency in Python and modern AI/ML libraries including PyTorch and Hugging Face Transformers.
• A degree in Computer Science, Machine Learning, or a related technical field.