1

Vice President Generative Ai Machine Learning Jobs in Georgia

... insights, generative analytics reporting, and agentic AI-powered workflows and processes. • ... AI/ML‑powered product features in healthcare, using machine learning, NLP, or automation to drive ...

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

... machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with ...

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

... machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-learn • Knowledge of: Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI concepts • Experience with ...

Generative AI and Large Language Model (LLM) based solutions * Predictive and prescriptive Machine Learning models * Computer Vision * Natural Language Processing (NLP) and Conversational AI

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are ... Experiment with generative AI and multimodal models to extend capabilities beyond text (images ...

With the support and investment needed to explore new frontiers in generative AI, you'll be working ... This role requires a deep understanding of statistical modeling, machine learning algorithms, and ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and ... generative AI applications and/or the media and news industry Company : CNN is an online ...

Showing results 41-60

Vice President Generative Ai Machine Learning information

What is the difference between Vice President Generative Ai Machine Learning vs Data Science Director?

AspectVice President Generative Ai Machine LearningData Science Director
Required CredentialsAdvanced degrees in AI, ML, or related fields; extensive experience in AI/ML projectsMaster's or PhD in Data Science, Statistics, or related fields; strong analytical background
Work EnvironmentLeadership role overseeing AI/ML teams, strategic planning, and innovationManagement of data science teams, project execution, and data analysis
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsFinancial, healthcare, retail, and other industries utilizing data analytics

The Vice President Generative Ai Machine Learning focuses on leading AI/ML strategy and innovation at a high level, often overseeing generative AI projects. In contrast, the Data Science Director manages data analysis teams, ensuring project delivery and data insights. Both roles require advanced degrees and leadership skills but differ in scope and focus within the AI and data fields.

What are popular job titles related to Vice President Generative Ai Machine Learning jobs in Georgia? For Vice President Generative Ai Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Vice President Generative Ai Machine Learning jobs in Georgia look for? The top searched job categories for Vice President Generative Ai Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Vice President Generative Ai Machine Learning jobs? Cities in Georgia with the most Vice President Generative Ai Machine Learning job openings:
Infographic showing various Vice President Generative Ai Machine Learning job openings in Georgia as of June 2026, with employment types broken down into 20% Internship, 52% Full Time, 8% Part Time, and 20% Contract. Highlights an 79% In-person, 8% Hybrid, and 13% Remote job distribution.

Full-time

Re-posted 22 days ago


Job description

Job Summary:
Enlace Health is a company focused on solving infrastructure challenges in the healthcare system. They are seeking a VP of Product who will lead and execute the product roadmap and strategy, emphasizing affordability and the use of AI to enhance product development in a high-growth environment.
Responsibilities:
• Lead, inspire, and develop a high-performing Product team while collaborating closely with other departments, including Technology Sales and Client Success, to drive product innovation while emphasizing data fluency and AI literacy across roles.
• Oversee the entire product development lifecycle, from ideation to launch, integrating AI‑assisted research, design, and prioritization tools to accelerate discovery and reduce time‑to‑market.
• Lead the identification and validation of AI‑first and AI-powered product opportunities, such as predictive provider enablement, automated VBC contracting insights, generative analytics reporting, and agentic AI-powered workflows and processes.
• Define product strategy and 1-3 year product roadmap, outlining specifically how concepts are turned into sustainable products at a sustainable ROI, determining product priorities, and resource allocation to ensure efforts are focused on the most impactful work.
• Evaluate emerging AI technologies and partnerships to stay ahead of industry trends.
• Collaborate closely with Technology on the design of our data platform, and product design to transform customer and prospect needs into robust requirements.
• Partner cross-functionally with Marketing, Sales and Client Success to help define our product voice, conducting market research to identify client needs, emerging trends and competitive landscapes.
• Develop and deliver sales training, sales collateral, product collateral, and other product assets, including materials that position AI‑enabled differentiation as a clear market advantage.
• Define and track key performance indicators (KPIs) and metrics to assess product performance - e.g., MLR impact - and identify areas for improvement.
• Identify strategic areas of new investment and generate budget models for product expansion.
Qualifications:
Required:
• Based in Atlanta, GA.
• 10+ years of experience in a product leadership role in the healthcare technology industry.
• Experience in risk‑based VBC and health plan contract management or analytics, with emphasis on affordability/MLR.
• Expertise in growth strategy and data strategy, with working knowledge of modern AI/ML product frameworks and their impact on business performance.
• Proven success designing and executing SaaS and/or PaaS product roadmaps.
• Experience in advanced healthcare analytics including episodic grouping methodologies.
• Proven ability to ship AI/ML‑powered product features in healthcare, using machine learning, NLP, or automation to drive measurable outcomes.
• Fluency in payer‑provider interoperability, data exchange standards (HL7, FHIR), and familiarity with key ecosystem players (Epic, Redox, Availity).
• Track record of navigating the intersection of clinical, operational, and financial data to build products that improve cost, quality, and scalability.
• Strong experience articulating complex healthcare and AI concepts into compelling product narratives for customers, investors, and internal teams.
• Demonstrates a founder’s mindset, operating with ownership, clarity, and a focus on outcomes over activity.
• Experience hiring and managing product managers and directors, particularly in AI‑augmented environments.
• Ability to articulate a clear and reproducible prioritization process.
• Proven track record of growing revenue through new‑product execution.
• Experience collaborating effectively with a hybrid and/or fully remote team.
Company:
Enlace Health delivers the end-to-end solution that solves the infrastructure challenges driving today’s unsustainable healthcare system. Founded in 2010, the company is headquartered in Columbus, USA, with a team of 51-200 employees. The company is currently Growth Stage.