We are looking for a Director of AI-Driven Applications who is a senior strategic and hands-on technical leadership role responsible for defining and executing the organization's vision for intelligent, AI-native enterprise systems.
Requirements
- Define the enterprise AI application strategy, roadmap, and governance frameworks aligned with business objectives
- Lead the design and delivery of production AI applications using LLMs, multi-agent systems, retrieval-augmented generation (RAG), and fine-tuning pipelines
- Architect end-to-end agentic AI workflows: autonomous planning, tool use, memory management, and multi-agent orchestration
- Evaluate and select AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, custom) appropriate to enterprise scale and security requirements
- Champion responsible AI principles - explainability, bias mitigation, auditability, and data privacy
- Design and govern enterprise data models supporting AI feature engineering, vector embedding stores, knowledge graphs, and real-time inference pipelines
- Define ontologies, taxonomies, and semantic layers that enable AI systems to reason over structured and unstructured enterprise data
- Oversee the architecture of data platforms including data lakes, lakehouses, streaming pipelines, and feature stores
- Establish data quality, lineage, and observability standards to ensure model reliability in production
- Own and evolve the enterprise architecture for AI integration across cloud, hybrid, and on-premise environments
- Drive architecture decisions across the full AI stack: model serving, API gateways, orchestration layers, observability, and security
- Align AI architecture with enterprise platforms and integration patterns (event-driven, microservices, API-first)
- Establish architecture review boards, design patterns, and reusable accelerators to scale AI delivery across business units
- Build, mentor, and lead a high-performing team of AI and Software engineers, data architects, and solution architects
- Partner with C-suite, business unit heads, and product leaders to identify and prioritize AI opportunities
- Represent the AI architecture function to executive stakeholders, board-level audiences, and external partners
- Drive a culture of continuous learning, experimentation, and engineering excellence
- Deliver an enterprise AI application roadmap adopted by executive leadership
- Ship at least two flagship agentic AI applications to production at enterprise scale
- Establish reusable AI architecture patterns and accelerators reducing delivery time by 30%+
- Build and grow a team of AI engineers and architects
- Define, publish, evangelize enterprise AI governance and data modelling standards
Benefits
- Health & Wellness
- Flexible Downtime
- Continuous Learning
- Invest in Your Future
- Family Friendly Perks
- Beyond the Basics
