Director - AI Engineer

About this role

Job Requirements

Mandatory Skills

• **15+ years** of experience across software engineering, data engineering, and AI/ML engineering, with **5+ years in senior technology leadership roles**
• Strong engineering foundation with hands‑on experience as an individual contributor before transitioning into leadership
• Proven experience **building and scaling enterprise AI platforms**, including GenAI, ML, and intelligent automation solutions
• Expertise in **LLMs, GenAI architectures, agent-based systems, and AI workflow orchestration**
• Hands-on understanding of **prompt engineering, RAG architectures, vector databases, embeddings, and context management**
• Experience implementing AI solutions on **cloud-native platforms (GCP, AWS, Azure)**, including managed AI services
• Strong proficiency in **Python**, APIs, and modern engineering stacks; working knowledge of Java/Scala/Go preferred
• Deep understanding of **MLOps / LLMOps**, CI/CD for AI, model lifecycle management, and observability
• Experience with **Responsible AI, AI governance, security, privacy, and compliance**, especially in regulated environments
• Proven ability to lead **large, distributed, multi-disciplinary teams** and drive organizational change
• Strong stakeholder management skills and ability to engage with **senior leadership and client executives**

Primary Roles and Responsibilities

• Provide **strategic and operational leadership** for AI Engineering teams delivering enterprise AI, GenAI, and agentic solutions
• Define and execute the **AI engineering vision, roadmap, and operating model** aligned with business strategy
• Oversee the design and delivery of:
• GenAI platforms and reusable AI capabilities
• AI-powered developer productivity and coding assistant solutions
• Agentic and workflow-driven automation systems
• Ensure **scalable, secure, and governed AI architectures**, including RAG, orchestration layers, and enterprise context management
• Partner closely with **Data...