AI Director

We are looking for an accomplished and forward-thinking AI Director to lead the organization's Artificial Intelligence strategy, innovation, and implementation initiatives.
The ideal candidate will be responsible for identifying business opportunities where AI can create measurable value, developing enterprise AI capabilities, and leading the design and deployment of intelligent solutions, including Generative AI, Agentic AI, and autonomous AI agents.
This role requires a combination of strong technical expertise, strategic thinking, business acumen, and leadership capabilities. The individual should have an entrepreneurial mindset, be comfortable building new AI capabilities from the ground up, and have the ability to translate emerging technologies into scalable business solutions.

Key Responsibilities

1. AI Strategy & Leadership

Define and drive the organization's overall AI strategy and technology roadmap.
Identify opportunities to leverage AI, Generative AI, and Agentic AI across business functions.
Establish AI standards, frameworks, architecture, and best practices.
Evaluate emerging AI technologies and identify opportunities for innovation and competitive advantage.
Drive enterprise-wide AI adoption and transformation initiatives.

1. Generative AI & Agentic AI Development

Lead the development and implementation of Generative AI solutions and AI-powered applications.
Design and deploy intelligent AI agents capable of executing multi-step workflows and autonomous tasks.
Drive the adoption of Agentic AI frameworks and multi-agent architectures.
Lead initiatives involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and conversational AI.
Explore applications of AI automation, intelligent assistants, and decision-support systems.
Evaluate and integrate commercial and open-source AI models.

1. Technical Architecture & Implementation

Oversee the design and development of scalable, secure, and enterprise-ready AI solutions.
Provide technical direction on AI/ML architecture, cloud platforms, data infrastructure, and model deployment.
Drive MLOps, LLMOps, model monitoring, and continuous improvement practices.
Ensure AI solutions integrate effectively with existing enterprise applications and technology ecosystems.
Establish standards for AI performance, scalability, reliability, and security.

1. Business Growth & Innovation

Work closely with executive leadership, business teams, and clients to identify AI-driven business opportunities.
Develop innovative AI solutions that improve operational efficiency, productivity, and customer experience.
Identify opportunities to build new AI products, services, and revenue streams.
Drive AI-led consulting engagements, solution development, and strategic partnerships.
Demonstrate an entrepreneurial approach to taking ideas from concept to proof of concept and commercial deployment.
Establish measurable business outcomes and ROI for AI initiatives.

1. Team Building & Organizational Leadership

Build, lead, and mentor high-performing AI and engineering teams.
Attract and develop talent across AI/ML engineering, data science, and AI architecture.
Establish a culture of experimentation, innovation, and continuous learning.
Collaborate with engineering, product, sales, and business leadership teams.
Manage budgets, resources, delivery priorities, and strategic partnerships.

1. Responsible AI & Governance

Establish AI governance frameworks and responsible AI practices.
Ensure data privacy, security, regulatory compliance, and ethical AI implementation.
Address risks associated with AI-generated outputs, model bias, and autonomous agent execution.
Define policies for model selection, validation, monitoring, and access management.
Required Skills & Experience
12–18+ years of experience in technology, software engineering, AI/ML, or enterprise technology leadership.
Significant experience leading AI/ML strategy, architecture, and implementation.
Strong understanding of Generative AI, LLMs, and Agentic AI.
Hands-on experience with AI agents, multi-agent systems, and AI-powered automation.
Experience with RAG architectures, vector databases, embeddings, and LLM integration.
Strong understanding of Python and modern AI/ML development frameworks.
Experience with AI platforms and frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent.
Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
Understanding of MLOps/LLMOps, model deployment, monitoring, and scalability.
Experience integrating AI solutions with enterprise systems, APIs, and databases.
Strong understanding of data architecture, data engineering, and AI governance.
Proven experience managing technical teams and delivering enterprise-scale technology solutions.
Leadership & Business Competencies
Strategic thinker with the ability to connect technology initiatives with business objectives.
Strong entrepreneurial mindset with a passion for building and scaling new capabilities.
Ability to identify emerging opportunities and convert innovative ideas into commercial solutions.
Excellent executive communication, stakeholder management, and decision-making skills.
Ability to lead through ambiguity and operate in a fast-evolving technology landscape.
Strong client-facing and business development capabilities.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
Previous experience as Head of AI, VP of AI, AI Director, CTO, or equivalent leadership position.
Experience building AI products or enterprise AI practices from the ground up.
Experience in technology consulting, product engineering, or digital transformation organizations.
Demonstrated success in taking AI initiatives from experimentation to production at scale.
Security Clearance Requirement
Security clearance is a project-specific requirement and may be required depending on the nature of the client enga