AI Solutions Engineer

Trava Health is committed to improving access to care through innovative telehealth solutions built around the patient experience. The AI Solutions Engineer will work cross-functionally to identify opportunities for AI to improve efficiency and customer experience, translating business ideas into practical AI solutions.

Responsibilities:

• Partner with internal teams to identify practical use cases for AI across the business
• Evaluate existing AI tools, vendors, and platforms to determine best-fit solutions
• Implement and deploy AI tools that improve operations, customer experience, or growth
• Build workflows using APIs, automations, LLM platforms, and no-code / low-code tools where appropriate
• Integrate AI solutions into existing systems and processes
• Create internal copilots, assistants, dashboards, or workflow automations
• Test outputs, improve reliability, and establish quality controls
• Train internal teams on new AI tools and best practices
• Stay current on emerging AI tools and recommend opportunities for adoption
• Collaborate with leadership on prioritization, feasibility, and rollout strategy

Requirements:

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Mathematics, or a related technical field (or equivalent practical experience)
• Strong technical background in software engineering, automation, systems integration, or applied AI
• Strong negotiation skills
• Hands-on experience with LLM tools such as OpenAI, Anthropic, or similar platforms
• Experience implementing AI solutions in real business environments
• Strong proficiency in Python, JavaScript, or similar languages
• Experience working with APIs, SaaS tools, and system integrations
• Understanding of prompt design, workflow orchestration, and AI limitations
• Strong problem-solving skills with a practical execution mindset
• Comfortable working in a fast-moving, collaborative environment
• Strong communication skills with ability to explain technical concepts simply
• Experience with healthcare, telehealth, or regulated industries
• Experience with automation platforms such as Zapier, Make, or n8n
• Familiarity with vector databases, RAG systems, or internal knowledge assistants
• Experience deploying AI agents or workflow-based systems
• Startup experience or experience in high-growth environments