Principal AI Engineer

Join Strive as a Principal AI Engineer, where you will play a crucial role in transforming AI into a powerful tool for operational efficiency. You will work closely with business and functional leaders to identify high-value problems, rapidly prototype and deploy practical AI solutions, and help teams adopt new ways of working. This role requires strong hands-on AI engineering skills, sound judgment, and the ability to communicate complex AI concepts clearly to various stakeholders.

• Identifying high-value problems and rapidly prototyping and deploying practical AI solutions.
• Partnering with teams across the company to automate workflows, build internal agents and copilots, and improve decision support.
• Influencing platform and tooling recommendations, establishing repeatable patterns for safe and effective AI deployment, and serving as an internal evangelist for AI transformation.
• Demonstrated ability to operate as a senior individual contributor in ambiguous environments, independently driving work from problem framing through deployment and adoption
• 2+ years of hands-on experience building and deploying AI-powered systems, including generative AI, retrieval-augmented systems, agentic workflows, or AI-enabled automations
• Strong software engineering fundamentals with practical experience building production-quality tools, services, or workflows
• Internet Connectivity - Min Speeds: 3.8Mbps/3.0Mbps (up/down); Latency < 60 ms
• Experience partnering directly with business stakeholders to translate operational pain points into technical solutions
• 8+ years of experience in software engineering, machine learning engineering, data engineering, solutions engineering, or a closely related field
• Ability to travel and be onsite to meet business needs
• Bachelor's Degree in computer science, engineering, data science, or a related technical field, or equivalent practical experience
• Ability to communicate clearly with both technical and non-technical audiences and to influence without formal authority
• Familiarity with healthcare data, clinical workflows, and collaboration with compliance, security, and legal stakeholders
• Experience evaluating AI vendors, tools, and architectures with a pragmatic lens on value, risk, usability, and maintainability
• Experience designing and delivering training, workshops, or enablement programs for users with a wide range of technical backgrounds
• Track record of influencing tool standards, implementation patterns, and adoption practices across multiple teams
• Experience operating in a forward-deployed, solutions engineering, field engineering, or internal consulting model where speed, judgment, and stakeholder trust are critical
• Practical experience with retrieval-augmented generation, prompt and context design, evaluation methods, and guardrails for production AI systems
• Strong Python skills and experience with cloud-based data and application workflows, ideally in AWS
• Experience building internal AI copilots, automation tools, knowledge systems, or agentic applications that support operational or clinical teams
• Strong hands-on experience with enterprise AI platforms and tools such as Claude Code, Glean, coding assistants, agent frameworks, and workflow orchestration tools
• Experience working in healthcare, value-based care, or another regulated environment with meaningful privacy, security, and governance requirements
• You are passionate about helping Strive become an AI-native company
• You are energized by working side-by-side with teams, earning trust quickly, and helping others adopt better ways of working
• You are team-first, low-ego, and motivated by enterprise impact more than ownership boundaries
• You have strong judgment about what to build, what not to build, and how to maximize practical value from AI inside a real business
• You are a clear communicator who can move comfortably between engineers, operators, clinicians, and executives
• You are excited by change and bring a bias toward action, experimentation, and continuous improvement
• You are thoughtful about safety, governance, and risk, especially when deploying AI into sensitive workflows and data environments
• You are highly hands-on and enjoy turning messy operating problems into working systems that people actually use
• Please apply even if you feel you do not meet all qualifications