​Vice President of AI & Engineering

Location New York Mills
Discipline: Connect AI, Computer Vision
Job type: Permanent
Salary: Up to $400k - $500k
Contact name: David Lines

Contact email: david@connectgroup-rec.com
Published: 21 days ago

Vice President of AI & Engineering - Leading Supply Chain and Logistics AI Company

Location: New York / Hybrid.Salary:$400k - $500k + Benefits.

Company Overview:Join a market-leading AI-driven supply chain and logistics company that is revolutionizing the way businesses optimize their operations. With a track record of innovation and a commitment to excellence, they are seeking a visionary and accomplished Vice President of AI & Engineering to lead their talented team in pushing the boundaries of technology in the supply chain domain.

Role Overview:As the Vice President of AI & Engineering, you will be at the forefront of driving their technical strategy, leading a team of exceptional engineers, data scientists, and AI experts to develop and deliver ground-breaking solutions. You will play a pivotal role in shaping their AI products, contributing to the business growth, and fostering a culture of innovation and collaboration.

Key Responsibilities:

  • Strategic Leadership:Develop and execute the technology roadmap, aligning AI and engineering initiatives with the company's strategic objectives. Drive innovation, identify growth opportunities, and ensure technical excellence across all products and services.

  • Team Management:Lead, mentor, and inspire a cross-functional team of engineers, data scientists, and AI specialists. Foster a culture of continuous learning, collaboration, and high performance.

  • Product Innovation:Oversee the end-to-end product development lifecycle, from ideation to deployment. Lead the design and implementation of cutting-edge AI solutions that solve complex supply chain and logistics challenges for their clients.

  • Technical Excellence:Provide technical guidance and expertise to guide the development of scalable, robust, and high-performance AI systems. Ensure adherence to best practices, coding standards, and quality assurance processes.

  • Collaboration:Collaborate closely with cross-functional teams including sales, marketing, and operations to understand customer needs, market trends, and business requirements. Translate these insights into actionable AI and engineering strategies.

  • Research and Development:Stay current with the latest advancements in AI, machine learning, and engineering technologies. Drive research initiatives, promote knowledge sharing, and lead efforts to innovate within the supply chain and logistics domain.


  • Education:Bachelor's, Master's, or PhD degree in Computer Science, Engineering, AI, or a related field.

  • Experience:Proven track record (X+ years) of leadership in AI and engineering roles, with a focus on developing and delivering successful AI-driven products in the supply chain and logistics industry.

  • Technical Expertise:In-depth knowledge of AI technologies, machine learning, and deep learning frameworks. Familiarity with technologies such as TensorFlow, PyTorch, and natural language processing (NLP) is highly desirable.

  • Strategic Vision:Demonstrated ability to translate business goals into technical strategies and roadmaps. Experience in scaling AI solutions for commercial success.

·Leadership:Strong leadership and people management skills, with the ability to motivate and inspire cross-functional teams. Experience in building and leading high-performing technical teams.

·Innovation:A track record of innovation, with experience driving the development of novel solutions in the AI and engineering space.

·Communication:Excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders. Strong presentation and interpersonal skills are essential.


·Competitive compensation package including salary, performance bonuses, and equity options.

·Comprehensive health, dental, and retirement benefits.

·Opportunity to work with a passionate and diverse team in a collaborative environment.

·Exposure to cutting-edge AI and engineering projects that are shaping the future of supply chain and logistics.

·Professional development opportunities, conferences, and training programs.