AI Solutions Specialist

Teladoc Health • Uniondale, NY

1d • $130,000 - $140,000

About The Position

Join the team leading the next evolution of virtual care. At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives. Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we’re transforming how better health happens. Summary of Position The AI Solutions Specialist is responsible for partnering with business and technology stakeholders to design, integrate, and deliver AI powered conversational agents and workflow automation solutions across the enterprise. This role leads to the technical implementation of AI platforms and agent development tools, ensuring secure, scalable, and compliant solutions that drive productivity and business value. Deep coding expertise is not required. However, the candidate must understand modern technology stacks, AI concepts, and system integration terminology. The ideal candidate will thrive in an evolving, fast-changing environment, where AI capabilities and standards continue to mature.

Requirements

• Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related field or equivalent combination of education and relevant professional experience.
• 3+ years of experience in solution architecture, systems integration, automation engineering, or applied AI roles.
• 1+ year demonstrated ability to design, build, and deploy AI-powered agents, workflows, or conversational applications.
• Proven experience working directly with business stakeholders to translate operational needs into scalable technical solutions.
• Hands-on experience implementing enterprise automation or conversational AI solutions across multiple departments or use cases.
• Experience operating in regulated or security-conscious environments, supporting compliance and governance requirements.
• Strong experience designing and implementing enterprise system integrations using APIs, connectors, and automation frameworks.
• Experience working with modern data platforms (e.g., Microsoft Fabric, Snowflake, Databricks, AWS) to support data orchestration, access control, and compliance.
• Solid understanding of identity management, access controls, and data security best practices.
• Ability to assess AI solution feasibility, including data readiness, scalability, performance, and cost considerations.
• Strong analytical and problem-solving skills with the ability to apply sound judgment to ambiguous or emerging AI use cases.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to nontechnical audiences.

Nice To Haves

• Advanced certifications or coursework in cloud platforms, data engineering, or AI/ML preferred.

Responsibilities

• Work closely with business stakeholders to identify automation opportunities.
• Lead the technical set up and integration of conversational AI platform & agent development studio within the enterprise environment. - copilot agents preferred, deploying across enterprise not for personal use.
• Analyze business processes, data flows, and system architectures to support AI solution design.
• Support configuration and deployment of AI-powered agents, applications, and workflows.
• Design, build, and customize AI agents to automate workflows and improve productivity.
• Utilize data platforms such as Microsoft Fabric, Snowflake, Databricks, AWS for data orchestration, governance, and compliance.
• Ensure seamless interoperability of agents across Microsoft and other enterprise applications as required.
• Evaluate and implement secure API integrations with enterprise systems using APIs and connectors to enable data exchange and workflow automation.
• Apply best practices for data security, identity management, and compliance with organizational and regulatory standards.
• Apply analytical judgment to assess feasibility, scalability, data readiness, and risks of AI use cases.
• Collaborate with cybersecurity and product teams to build robust AI solutions
• Test new AI agent enhancements, integrations, and fixes prior to release to ensure quality and expected behavior.
• Track and analyze performance metrics, including response quality, speed, reliability, and cost-effectiveness of AI agents and automated workflows.
• Continuously optimize AI solutions based on performance data, user feedback, and evolving business needs.
• Document requirements, solution designs, architecture diagrams, and integration approaches in a clear and concise manner.
• Contribute to internal standards, reusable patterns, and best practices for AI agent and automation development.
• Support knowledge sharing and enablement across technical and business teams.

Benefits

• In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level