Top Artificial Intelligence Jobs in Buffalo, NY

The role involves identifying and closing new sales opportunities with restaurant franchisees, developing tailored sales strategies, and collaborating across teams to enhance client experience. The candidate needs to have strong sales skills and a successful track record in a fast-paced environment.

The Head of Growth Marketing is responsible for brand positioning, B2B demand generation, content creation, and sales enablement, focusing on performance metrics in a remote setting.

The Senior Business Development Manager will drive revenue growth and create strategic partnerships in critical infrastructure and cybersecurity. Responsibilities include pursuing new business opportunities, managing multi-stakeholder sales cycles, and negotiating contracts with government clients, aiming to exceed annual revenue targets between $6M and $15M.

The Deployment Lead will oversee product strategy to technical execution, ensuring successful delivery of ASI's products for clients in aerospace and aviation.

The Geospatial Solutions Architect will design and implement geospatial data visualization solutions, develop operational dashboards, and oversee the integration of geospatial AI/ML models for a DoD customer.

As an AI Engineer, you'll implement AI workflows, collaborate with chemists, improve user systems, and contribute to backend architecture.

The Hardware Operation Lead L3 will manage on-site datacenter operations, including installing and supporting server/network configurations, maintaining system reliability, and responding to incidents, while collaborating with various stakeholders.

The Facets Systems Analyst will perform development and maintenance tasks in Facets, lead a team of developers, and ensure quality outcomes through testing methodologies while maintaining compliance with healthcare standards.

The Compliance Manager will oversee compliance operations, manage teams, ensure adherence to regulations, and maintain employee documentation across multiple facilities.

Design, develop, and scale MLOps infrastructure and automation to improve ML application development and deployment, ensuring performance and security compliance.