Gen AI Leader

Qualifications

• Requirements include 10 years of progressive experience in AI / ML with at least 5 years in a leadership role managing large cross-functional teams
• Deep technical expertise in Generative AI concepts including Large Language Models (LLMs) vector databases prompt engineering fine-tuning and AI governance
• Exceptional program management skills with the ability to manage multi-million dollar budgets and complex project timelines

Responsibilities

• Define and own the enterprise-wide Generative AI strategy and roadmap aligning it with key business objectives
• Identify and prioritize high-impact use cases across various business functions (e.g. operations marketing software development customer service)
• Evangelize the potential of Generative AI to executive leadership stakeholders and the broader organization
• Lead the end-to-end execution of our flagship Generative AI program ensuring it is delivered on time within scope and on budget
• Establish robust governance risk management and performance measurement frameworks for all GenAI initiatives
• Manage complex dependencies across multiple teams technologies and business units
• Provide technical direction for the architecture development and deployment of scalable and secure GenAI solutions (e.g.

LLMs Multimodal models RAG systems)

• Stay at the forefront of GenAI research and emerging technologies evaluating and integrating new tools and methodologies
• Champion best practices in MLOps / LLMOps model evaluation fine-tuning and responsible AI
• Build mentor and lead a high-performing multi-disciplinary team of AI / ML engineers data scientists and prompt engineers in Atlanta
• Foster a culture of innovation collaboration and continuous learning
• Act as a key attractor for top AI talent to the Atlanta region
• Act as the primary point of contact for GenAI initiatives effectively communicating progress challenges and results to C-level executives and business partners
• Collaborate closely with product engineering legal security and compliance teams to ensure responsible and ethical AI development and deployment

Full Description

Job Description

We are seeking a visionary leader to spearhead the ambitious initiative of embedding Generative AI across our core products and operations.

This is a unique opportunity to shape the AI-driven future of our company and make a significant impact on our industry.

Key Responsibilities

• Define and own the enterprise-wide Generative AI strategy and roadmap aligning it with key business objectives.

• Identify and prioritize high-impact use cases across various business functions (e.g. operations marketing software development customer service).

• Evangelize the potential of Generative AI to executive leadership stakeholders and the broader organization.

• Lead the end-to-end execution of our flagship Generative AI program ensuring it is delivered on time within scope and on budget.

• Establish robust governance risk management and performance measurement frameworks for all GenAI initiatives.

• Manage complex dependencies across multiple teams technologies and business units.

• Provide technical direction for the architecture development and deployment of scalable and secure GenAI solutions (e.g. LLMs Multimodal models RAG systems).

• Stay at the forefront of GenAI research and emerging technologies evaluating and integrating new tools and methodologies.

• Champion best practices in MLOps / LLMOps model evaluation fine-tuning and responsible AI.

• Build mentor and lead a high-performing multi-disciplinary team of AI / ML engineers data scientists and prompt engineers in Atlanta.

• Foster a culture of innovation collaboration and continuous learning.

• Act as a key attractor for top AI talent to the Atlanta region.

• Act as the primary point of contact for GenAI initiatives effectively communicating progress challenges and results to C-level executives and business partners.

• Collaborate closely with product engineering legal security and compliance teams to ensure responsible and ethical AI development and deployment.

Requirements include 10 years of progressive experience in AI / ML with at least 5 years in a leadership role managing large cross-functional teams.

Deep technical expertise in Generative AI concepts including Large Language Models (LLMs) vector databases prompt engineering fine-tuning and AI governance.

Exceptional program management skills with the ability to manage multi-million dollar budgets and complex project timelines.