Vice President of Technology - AI

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 Portuguese is a plus.

Benefits

• Base salary range of $210,000–$270,000, plus a 33% bonus opportunity.
• Unlimited paid time off.
• Healthcare, dental, and vision benefits.
• Disability and life insurance.
• Retirement benefits, including a 401(k) and potential employer match.
• Paid parental leave, including up to 14 weeks for birthing parents and up to 4 weeks for non-birthing parents, subject to eligibility.
• Paid adoption leave of up to 8 weeks, subject to eligibility.
• Child hospitalization leave of up to 15 paid calendar days per year, subject to eligibility.
• Approximately 12 paid company holidays annually.
• Paid jury duty of up to 4 weeks per year, subject to eligibility.
• Paid moving days of up to 2 days per year, subject to eligibility.
• “Be kind to yourself day” on your work anniversary, subject to applicable terms.
• Graduation and birthing gifts, subject to eligibility.
• Remote work opportunity within the United States, with work-location arrangements subject to business needs.
• Opportunity to work on cutting-edge AI initiatives while engaging with senior business and technology stakeholders.
• Hands-on leadership exposure across AI architecture, consulting, innovation, and end-to-end solution delivery.