Own the pre-sales technical cycle for AI solutions serving healthcare payers and providers. Responsibilities include customer discovery, solution architecture, technical demos, prototypes, multi-agent workflow development, pilot and go-live support, and translating customer insights into platform improvements. The role requires strong programming, healthcare workflow expertise, LLM and multi-agent application experience, and effective communication with technical and executive stakeholders.
About Autonomize AI
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. We're growing fast and looking for bold, driven teammates to join us.
The Opportunity
This is a high-impact, hands-on role at the intersection of engineering, customer success, and AI innovation. As a Senior Solutions Engineer, you’ll partner directly with prospective customers to co-create real-world AI agent solutions using the Autonomize AI Studio. You’ll own the full pre-sales technical cycle — from discovery and architecture to demo and prototype — and help customers see how multi-agent AI workflows can solve some of healthcare’s most complex 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 auth, clinical documentation, HEDIS gaps).
- Develop and deliver technical demos, prototypes, and live solutions using the Autonomize AI Studio.
- Write clean, modular code to orchestrate multi-agent AI workflows that replicate common healthcare data patterns and edge cases.
- Build trust with technical and non-technical stakeholders — 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
- Be a power user and builder on the Autonomize AI platform — stretch its limits, then help us improve it.
- Identify patterns across customers and feed insights back to Product, Engineering, and GTM 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 in healthcare tech, ideally with exposure to AI/ML platforms.
- Deep knowledge of U.S. healthcare workflows — especially payer/provider intersections.
- Strong programming ability (Python or JavaScript preferred) — you can build and demo, not just whiteboard.
- Experience working with or designing multi-agent systems or LLM-based applications.
- Ability to communicate clearly and confidently with engineers, clinicians, and executives.
- Full-stack ownership mindset — you see the job through, not just the slide deck.
- Thrives in high-velocity, ambiguous, startup environments — you build fast and course-correct faster.
Bonus Points
- Experience with Autonomize AI Studio or similar platforms (LangChain, ReAct, Semantic Kernel, etc.)
- Background in building scalable agentic workflows, RAG pipelines, or healthcare-specific AI tools.
- Open-source contributions or technical blogs related to AI agents, clinical workflows, or data orchestration.
What We Offer
- A chance to make a real impact in the future of healthcare
- Autonomy, ownership, and the ability to chart your own growth path
- Competitive salary with performance bonuses
- 100% employer-paid health, vision, and dental insurance
- Retirement plans (401k), disability insurance, employee assistance programs
How to Apply
Send your resume and a brief cover letter to [email protected] explaining why you're the right engineer to help customers bring AI into the real world.
Autonomize AI Austin, Texas, USA Office
Austin, Texas, United States
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