Sr. Solutions Engineer, ML

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies—like the da Vinci surgical system and Ion—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.

Job Description

Primary Function of Position

We're seeking a dynamic Solutions Engineer who combines technical expertise in AI/LLM technologies with exceptional customer relationship skills. This role is critical to our mission of delivering cutting-edge agentic AI solutions that truly meet our customers' needs. You'll be the bridge between our technical capabilities and our customers' success, ensuring smooth implementation, adoption, and optimization of our AI systems.

Success in this role will be measured by customer satisfaction, adoption rates, and the ability to translate customer feedback into actionable product improvements. The ideal candidate will possess a consultative approach, technical depth, and strong communication skills.

Essential Job Duties

Key Responsibilities

Customer Onboarding & Implementation

1. Guide customers through multi-step data integration processes, ensuring their data is properly formatted and ingested into our agentic AI systems
2. Collaborate with customers to understand their specific use cases and configure our solutions accordingly
3. Develop and maintain technical documentation and onboarding playbooks

Testing & Quality Assurance

1. Design and execute comprehensive test plans for customer-specific implementations
2. Build and maintain automated testing frameworks to validate AI system responses
3. Create and run evaluation protocols to ensure AI outputs align with customer expectations
4. Identify edge cases and work with engineering to improve system performance

Customer Success & Relationship Management

1. Serve as the primary technical point of contact for assigned accounts
2. Proactively engage with customers to drive adoption and identify expansion opportunities
3. Conduct regular check-ins and business reviews to ensure customer satisfaction
4. Transform customer feedback into actionable product insights

Technical Evangelism

1. Demonstrate our agentic AI solutions to prospects and existing customers
2. Educate customers on best practices for working with LLMs and agentic systems
3. Create technical content (demos, tutorials, case studies) to showcase product capabilities
4. Support sales teams with technical expertise during the sales process

Qualifications

Qualifications

Required Qualifications

Technical Skills

1. 3+ years of experience in a technical customer-facing role (solutions engineering, technical account management, or similar)
2. Programming skills in Python or similar languages for writing test scripts and automations
3. Hands-on experience with LLMs, prompt engineering, and AI evaluation methodologies
4. Understanding of agentic AI concepts (tool use, multi-step reasoning, autonomous workflows)

Customer Skills

1. Exceptional communication skills with the ability to explain complex technical concepts to diverse audiences
2. Natural relationship builder who enjoys frequent customer interaction
3. Proven track record of managing multiple customer accounts simultaneously
4. Experience presenting technical demos and leading customer workshops
5. Consultative approach to problem-solving

Preferred Qualifications

1. Experience with specific LLM platforms (OpenAI, Anthropic, etc.)
2. Background in machine learning, data science, or AI engineering
3. Experience with evaluation frameworks for AI systems
4. Prior experience in early-stage or high-growth techno