Senior AI Engineer (Portugal-based Remote/Hybrid)

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere, while significantly reducing costs for payers, self-insured employers, national health systems, and other healthcare organizations. Sword began by reinventing pain care with AI at its core, and has since expanded into women’s health, movement health, and more recently mental health. Since 2020, more than 700,000 members across three continents have completed 10 million AI sessions, helping Sword's 1,000+ enterprise clients avoid over $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies and over 44 patents, Sword Health has raised more than $500 million from leading investors, including Khosla Ventures, General Catalyst, Transformation Capital, and Founders Fund. Learn more at www.swordhealth.com.

The Internal AI Solutions Team leads the transformation of the company’s internal processes through Generative AI, enhancing how we work across the organization. By equipping teams like Finance, Commercial, and Talent with AI-powered tools and techniques, this team empowers departments to expand their reach and impact, thus ultimately driving the success of the company.

We’re a small team with a style reminiscent of an early-stage company, characterized by highly generalist roles and a proactive attitude. We work very closely with key stakeholders in each vertical at Sword to learn their processes and understand how we can help them succeed through AI.

• Health, dental and vision insurance

• Meal allowance

• Equity shares

• Remote work allowance

• Flexible working hours

• Work from home

• Discretionary vacation

• Snacks and beverages

• English class

Note: Please note that this position does not offer relocation assistance. Candidates must possess a valid EU visa and be based in Portugal.

Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.