Experience:

• 8+ years of experience in software engineering, machine learning engineering, data engineering, solutions engineering, or a closely related field
• 2+ years of hands-on experience building and deploying AI-powered systems
• Experience operating as a senior individual contributor in ambiguous environments
• Experience partnering directly with business stakeholders to translate operational pain points into technical solutions
• Ability to communicate clearly with both technical and non-technical audiences and influence without formal authority
• Ability to travel and be onsite to meet business needs
• Internet Connectivity: minimum 3.8Mbps/3.0Mbps download/upload; latency under 60 ms

Qualification:

• Bachelor's Degree in computer science, engineering, data science, or a related technical field, or equivalent practical experience

Responsibilities:

• Identify, prioritize, and sequence high-leverage AI opportunities
• Embed with teams to understand workflows and translate them into automations, copilots, agents, and decision-support tools
• Design, build, and deploy internal AI-enabled solutions
• Create reusable patterns, prompts, skills, templates, runbooks, and reference implementations
• Help business teams replace repetitive administrative effort while preserving human judgment and relationships
• Work with engineering, data, security, compliance, and clinical stakeholders to ensure solutions are safe, governed, maintainable, and appropriate for regulated healthcare environments
• Influence enterprise AI tool selection, evaluation, rollout, and usage standards
• Train and enable technical and non-technical users on responsible AI use
• Communicate complex AI concepts to executives, clinicians, operators, and frontline teams
• Measure and communicate AI impact using operational, productivity, quality, and user adoption metrics
• Lead workshops, demos, and office hours
• Improve how Strive works with AI by sharing lessons learned and recommending where to invest next
• Meet in person with internal and/or external stakeholders to facilitate team and business priorities and opportunities

Additional responsibilities:

• Act as a forward-deployed AI engineer embedded with business and functional leaders
• Help shape Strive's broader AI enablement strategy
• Influence platform and tooling recommendations
• Establish repeatable patterns for safe and effective AI deployment
• Serve as an internal evangelist for AI transformation
• Operate horizontally across clinical operations, corporate functions, care model support, and technology
• Report to the VP, Engineering

Nice to have:

• Experience working in healthcare, value-based care, or another regulated environment
• Strong hands-on experience with enterprise AI platforms and tools such as Claude Code, Glean, coding assistants, agent frameworks, and workflow orchestration tools
• Experience building internal AI copilots, automation tools, knowledge systems, or agentic applications that support operational or clinical teams
• Strong Python skills
• Experience with cloud-based data and application workflows, ideally in AWS
• Practical experience with retrieval-augmented generation
• Experience with prompt and context design
• Experience with evaluation methods
• Experience with guardrails for production AI systems
• Experience operating in a forward-deployed, solutions engineering, field engineering, or internal consulting model
• Track record of influencing tool standards, implementation patterns, and adoption practices across multiple teams
• Experience designing and delivering training, workshops, or enablement programs for users with a wide range of technical backgrounds
• Experience evaluating AI vendors, tools, and architectures with a pragmatic lens on value, risk, usability, and maintainability
• Familiarity with healthcare data, clinical workflows, and collaboration with compliance, security, and legal stakeholders

More skills:

AI engineering, Retrieval-augmented systems, AI-enabled automations, Enterprise AI platforms, Workflow orchestration frameworks, Production-quality tools, Services, Cloud-based data workflows, Cloud-based application workflows, AI vendors evaluation, Healthcare data, Clinical workflows, Compliance, Security, Legal stakeholders

Other:

• Annual salary range: $130,000 - $196,000
• Final compensation determined based on location, experience, and qualifications
• Hybrid-Remote Flexibility: work from home while fulfilling in-person needs at the office, clinic, or patient home visits
• Comprehensive Benefits: medical, dental, and vision insurance; employee assistance programs; employer-paid and voluntary life and disability insurance; health and flexible spending accounts
• Financial & Retirement Support: competitive compensation with a performance-based bonus program, 401k with employer match, and financial wellness resources
• Time Off & Leave: paid holidays, vacation time, sick time, paid birthgiving, bonding, sabbatical, and living donor leaves
• Wellness & Growth: family forming services through Maven Maternity at no cost, physical wellness perks, mental health support, and an annual professional development stipend
• Equal opportunity employer and drug free workplace
• Unable to provide work visa sponsorship
• Reasonable accommodation available during application, interviewing, pre-employment testing, or other employee selection process
• Unsolicited resumes from outside recruiters or placement agencies are not accepted
• No fees paid for resumes presented through unsolicited means