Senior Solutions Engineer at Syndesus – Austin, Texas

About the CompanyThis company is a fast-growing healthcare AI startup focused on streamlining knowledge-intensive workflows across the U.S. healthcare system. Their platform leverages advanced AI and agent-based workflows to reduce administrative burden for payers and providers, improve operational efficiency, and enable better clinical and business outcomes. The team is building real-world, production-grade AI solutions used directly in complex healthcare environments.
The OpportunityThis is a high-impact, hands-on role at the intersection of engineering, customer success, and AI innovation. As a Senior Solutions Engineer, you will partner directly with prospective customers to co-create real-world AI agent solutions using the company’s AI Studio platform. You will own the full pre-sales technical cycle, from discovery and solution architecture through demos and live prototypes, helping customers understand how multi-agent AI workflows can solve complex healthcare problems.
Key Responsibilities
Pre-Sales & Field Engineering

• Partner with Sales and Customer teams to scope and design high-impact AI agent workflows tailored to payer and provider use cases (e.g., prior authorization, clinical documentation, HEDIS gaps).
• Develop and deliver technical demos, prototypes, and live solutions using the AI Studio platform.
• Write clean, modular code to orchestrate multi-agent AI workflows that reflect real healthcare data patterns and edge cases.
• Build trust with both technical and non-technical stakeholders by translating business goals into actionable AI-powered solutions.
• Provide hands-on technical support during pilots, proof-of-concepts, and go-lives.

Platform & Product Feedback Loop

• Act as a power user and builder on the platform, pushing its capabilities and helping improve it.
• Identify patterns across customer engagements and feed insights back to Product, Engineering, and Go-To-Market teams.
• Build reusable agent templates and playbooks for core healthcare workflows.

Must-Have Qualifications

• 5+ years of experience in Solutions Engineering, Field Engineering, or Pre-Sales within healthcare technology.
• Strong understanding of U.S. healthcare workflows, particularly at the payer–provider intersection.
• Strong programming ability (Python or JavaScript preferred); you can build and demo production-quality solutions.
• Experience working with or designing multi-agent systems or LLM-based applications.
• Ability to communicate clearly with engineers, clinicians, and executive stakeholders.
• Full-stack ownership mindset with the ability to drive work end-to-end.
• Comfortable operating in fast-paced, ambiguous startup environments.

Bonus Points

• Experience with agentic or orchestration platforms such as LangChain, ReAct, or Semantic Kernel.
• Background building scalable agent workflows, RAG pipelines, or healthcare-specific AI tools.
• Open-source contributions or technical writing related to AI agents, healthcare workflows, or data orchestration.

What We Offer

• Opportunity to make a meaningful impact in the future of healthcare
• High autonomy, ownership, and clear growth opportunities
• Competitive salary with performance bonuses
• 100% employer-paid health, vision, and dental insurance
• Retirement plans (401k), disability insurance, and employee assistance programs

Important Work Authorization NoteThis company is unable to support visa sponsorship or temporary work authorization now or in the future. Candidates must be permanent residents of the United States or U.S. green card holders to be considered.

CompensationThe base pay range for this role is $100,000 – $140,000 per year.