Staff Software Engineer, Agentic AI

Staff Software Engineer, Agentic AI

Atria Health is seeking a Staff Software Engineer, Agentic AI to define the strategy and lead the implementation of emerging technologies across our Technology organization and Atria as a whole.

This is a senior individual contributor role for a technical leader and builder who is equally comfortable shaping strategy, writing production code, designing governance, and driving adoption. You will identify the highest-leverage opportunities to apply agentic AI across Product, Design, and Engineering; architect and ship the systems that make those workflows faster and better; and establish the measurement, evaluation, and security standards that let us scale confidently.

This role requires someone who actively works at the frontier of AI-assisted development. You should already be using modern AI tooling and agentic workflows as part of your daily work and continuously seeking to leverage the latest developments.

This is not a pure strategy role. We are looking for a seasoned engineer who will build dependable systems, drive their adoption, and show measurable impact.

Your initial focus will be applying agentic AI across Atria's technology workflows. Working with engineering, product, design, and cross-functional partners, you'll identify high-leverage opportunities, define where human oversight is required, and establish clear metrics proving improvements in speed, quality, and reliability. After establishing successful systems within the Technology organization, you will explore and drive high-impact applications of agentic AI across other parts of Atria.

Tech Stack:

• Languages: TypeScript
• Backend: Node, Express
• Frontend: React
• Infrastructure: Google Cloud Platform, Terraform
• Database: MySQL
• Tooling & Integrations: Cursor, Github, Sentry, Datadog, Mixpanel, Omni

Key Responsibilities

Strategy & Opportunity Selection

• Identify the highest-leverage opportunities for agentic systems and emerging technologies across Product, Design, and Engineering workflows
• Map end-to-end workflows and turn ambiguous opportunities into clear technical strategies and phased execution plans
• Prioritize work based on measurable business value, technical feasibility, operational risk, and adoption potential
• Help Atria stay current on meaningful advances in emerging technologies and translate them into practical plans

Platform & Workflow Development

• Architect and build Atria's internal platforms for agentic workflows, including context retrieval, integrations, permissions, validation, observability, and auditability
• Design reusable services, APIs, patterns, and interfaces that support AI-assisted workflows across planning, implementation, review, release, and incident response
• Build and ship high-impact workflow improvements yourself, especially in the highest-priority and most technically challenging areas
• Create systems that can safely combine context across code, documentation, design files, collaboration tools, analytics, and other internal sources
• Define integration patterns that allow new workflows to be added without rebuilding core primitives every time

Evaluation, Reliability & Governance

• Establish evaluation frameworks for agentic systems
• Define how output quality is measured and how systems are monitored over time for drift, regressions, and operational failures
• Instrument workflows with meaningful metrics tied to adoption, cycle time, review efficiency, quality, reliability, and user trust
• Partner with Foundations Engineering and other stakeholders to implement appropriate controls around permissions, access, audit trails, vendor risk, and sensitive data handling
• Define where agents can act autonomously, where human approval is required, and how those boundaries are enforced in tooling

Enablement & Adoption

• Create playbooks, standards, and training that help engineers, product managers, and designers adopt effective AI-assisted ways of working
• Raise the bar on internal practices around context management, prompt and workflow design, evaluation, and safe rollout
• Serve as a trusted technical leader across teams, influencing direction through strong judgment, credibility, and hands-on execution
• Mentor engineers through design guidance, implementation partnership, and thoughtful code review
• Help teams distinguish between impressive demos and durable production systems

Core Experience

• ~8+ years of professional software engineering experience, with significant time as a senior or staff-level IC
• A track record of owning and shipping complex, cross-functional initiatives from idea through rollout and adoption
• Meaningful hands-on experience building with AI, LLM-powered, agentic, or workflow-automation systems in real environments
• Comfort operating in ambiguous domains and making strong decisions with clear tradeoffs
• Strong product judgment: you know how to choose problems worth solving, not just technologies worth exploring

Technical Skills

• Deep experience using modern AI tooling as part of the software development process (AI-assisted coding, agentic workflows, automated debugging, code generation, and workflow automation)
• Strong full-stack engineering skills: you can design services and APIs, build user-facing interfaces, integrate third-party systems, and wire up telemetry and monitoring
• Deep familiarity with modern systems design, including reliability, observability, security, performance, and cost
• Deep experience with at least one cloud provider and infrastructure-as-code
• Practical understanding of patterns relevant to agentic systems
• Excellent debugging and incident-response skills; you are comfortable digging into logs, traces, analytics, and system behavior to understand what is actually happening

Leadership & Collaboration

• Proven ability to lead through influence across multiple teams and disciplines without relying on formal authority
• Clear written and verbal communication; you can explain complex technical topics to both engineers and non-technical stakeholders
• Comfort collaborating with clinicians, operations, research, product, and design partners in a high-context environment
• A pragmatic mindset that balances long-term architectural quality with iterative delivery and fast learning
• A strong instinct for measuring impact and changing direction when the data says a system is not creating enough value

Nice to Have

• Experience in healthcare, digital health, or other regulated domains (HIPAA, PHI, SOC 2, etc.).
• Experience evaluating vendors and open-source tools and making sound build-vs-buy decisions
• Experience extending AI-assisted workflows to paying customers

This role reports to the VP of Engineering. This is a remote role with occasional travel to Atria locations.

Base Salary: Varies by location