Vice President of Technology - AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Vice President of Technology - AI based in the United States. The Vice President of Technology - AI will lead the architecture and delivery of advanced artificial intelligence solutions for clients across consumer products and retail. This is a hands-on, consultative leadership role combining deep technical expertise with strategic client engagement. You will design scalable AI and machine learning architectures while guiding projects from discovery and estimation through implementation and deployment. The role offers the opportunity to work with emerging technologies across generative AI, LLMs, computer vision, NLP, and MLOps. You will partner with business and technical stakeholders to define AI strategies, identify high-value use cases, and build practical roadmaps for adoption. You will also mentor multidisciplinary teams and help shape innovative solutions in a rapidly evolving technology environment.

Accountabilities

• Design robust, scalable AI and ML architectures tailored to complex client requirements, leveraging generative AI, large language models, NLP, computer vision, and modern MLOps practices.
• Evaluate and select appropriate AI models, frameworks, technologies, and cloud platforms across AWS, Azure, and GCP based on business requirements and technical considerations.
• Lead hands-on development through coding, prototyping, model implementation, pipeline development, and deployment, setting a strong technical example for delivery teams.
• Oversee data engineering, model training, evaluation, optimization, and integration of AI solutions with enterprise systems.
• Engage directly with clients to understand business challenges, facilitate technical and discovery workshops, and translate business needs into scalable AI solutions.
• Advise clients on AI strategies, technology roadmaps, adoption approaches, and best practices for deploying and scaling AI capabilities.
• Scope and estimate AI initiatives, including project requirements, resource needs, timelines, costs, dependencies, and delivery milestones.
• Develop and manage delivery plans, ensuring AI projects are delivered on time, within budget, and according to quality and performance expectations.
• Lead end-to-end project delivery while maintaining strong client relationships and ensuring successful business outcomes.
• Mentor and guide cross-functional teams including data scientists, software engineers, analysts, and other technical specialists.
• Monitor emerging AI research, models, platforms, frameworks, and industry developments, evaluating new technologies and piloting those with potential business value.
• Promote responsible AI practices, including governance, ethics, privacy, security, and appropriate risk management across solution design and implementation.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.
• 7+ years of software engineering experience, including at least 3 years focused on AI/ML solution architecture.
• Proven hands-on experience with modern AI/ML frameworks and technologies such as TensorFlow, PyTorch, Hugging Face, LangChain, or comparable platforms.
• Deep technical knowledge of large language models, generative AI, NLP, computer vision, machine learning, and MLOps.
• Strong programming skills in Python; experience with Java, Scala, or R is a plus.
• Experience designing and deploying AI/ML solutions using cloud platforms and services such as AWS SageMaker, Azure ML, or GCP Vertex AI.
• Demonstrated ability to scope, estimate, plan, and successfully deliver complex AI and technology projects.
• Strong consultative skills, with the ability to translate complex technical concepts into clear business recommendations for both technical and executive stakeholders.
• Proven experience leading, mentoring, and developing multidisciplinary technical teams.
• Strong problem-solving abilities, strategic thinking, and a demonstrated passion for innovation and emerging technologies.
• Experience working in regulated industries such as healthcare, financial services, or pharmaceuticals is advantageous.
• Knowledge of AI governance, responsible AI, ethics, data privacy, and security considerations for enterprise AI solutions.
• Excellent written and verbal communication skills in English; Spanish or …