Solutions Engineer

Agentic AI Solutions Engineer Artera is seeking an Agentic AI Solutions Engineer who can bring deep technical insight to the discovery process, guide solution optimization, and craft a technical vision that wins over complex healthcare organizations. You will serve as a key technical advisor, collaborating closely with Sales, Customer Experience, and Product teams to conduct deep technical discovery, design highly scalable enterprise architectures, and drive pre‑sales deal strategy. Responsibilities Architect and propose optimized solutions for healthcare workflows using Artera’s AI suite, explaining how AI can safely reason, call tools, and interact with patients via voice and text. Conduct technical discovery sessions with prospects to evaluate system architecture, workflow needs, and data integration requirements. Author definitive technical responses to RFPs, RFIs, and security questionnaires, demonstrating how Artera satisfies both functional and compliance requirements. Lead value‑driven demonstrations of the Artera platform for prospective clients, telling a cohesive story of how our core software and AI capabilities orchestrate patient communication and improve patient access metrics. Serve as the technical authority during the pre‑sales cycle, defining the ideal future‑state architecture and ensuring seamless technical alignment between prospect ecosystems and Artera’s platform. Act as technical guide during the transition from sales to service rollout, providing consultative, high‑level oversight to preserve the architectural integrity of scoped AI workflows during implementation. Requirements 3+ years of relevant experience in solutions engineering or technical consulting. Strong familiarity with healthcare operations; knowledge of scheduling, intake/registration, and referral management. Ability to translate complex AI/ML concepts (e.g., context windows, Retrieval‑Augmented Generation, Model Context Protocol) into clear, value‑driven information for clinical, operational, and executive C‑suite stakeholders. Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Claude CLI, Claude, Retrieval‑Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework. Deep understanding of health system integration; comfortable reading API documentation, mapping complex data fields, evaluating payloads/webhooks, and pinpointing data dependencies during early‑stage discovery. Current authorized to work in the United States; no visa sponsorship available. Compensation $100,000 – $117,000 per year, plus a base salary with potential additional $30,000/yr through our bonus structure and eligibility for equity in the form of stock options. Location U.S. – based in Santa Barbara, CA (HQ), Seattle, WA, or Kansas City, KS/MO. Candidates should reside in or be willing to relocate to one of these areas. The position is office‑based with an in‑person schedule. Benefits Full health benefits (medical, dental, vision), flexible spending accounts, company‑paid life insurance, short‑term & long‑term disability, equity, voluntary benefits, 401(k) and more; generous time off including holidays, winter & summer break, and flexible time off; employee development resources; ERG participation. EEO Statement Artera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions are based on strategic business needs, job requirements, and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetics, protected veteran status, or any other protected status. Data Privacy By submitting your application, you consent to the processing of your personal information in conjunction with your application. For more information, please refer to our Privacy Policy. Security Requirements All employees are responsible for protecting the confidentiality, integrity, and availability of the organization’s systems and data, including safeguarding personal identifiable information (PII) and protected health information (PHI), complying with regulatory requirements, and implementing safeguards, monitoring, and incident reporting. #J-18808-Ljbffr