Staff AI Solutions Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

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Included Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🤝 B2B

👥 HR Tech

SaaS • B2B • HR Tech

Included Health is a healthcare technology company that delivers personalized, employer- and health-plan-focused primary, urgent, and behavioral health care through a single app and a network of virtual and in-person services. It blends AI-driven tools and human care teams to provide 24/7 care coordination, billing and claims advocacy, second opinions from leading specialists, and mental-health support, with the goal of lowering employer healthcare costs and improving member experience and inclusivity.

📋 Description

• Design, build, deploy, and maintain production LLM‑based solutions and agent workflows. • Own the technical strategy and reference architecture for enterprise AI solutions across multiple teams and business functions. • Lead high-complexity, cross-functional AI initiatives from ambiguous problem definition through production adoption and measurable business outcomes. • Define and evolve reusable platform capabilities, implementation standards, and governance patterns that enable safe, scalable AI adoption beyond a single team. • Review citizen developer AI agents / solutions to provide recommendations for optimization, ensure compliance with guidelines and measure value. • Influence roadmap and investment decisions across the company through technical leadership and business-value analysis. • Drive technical debates, align stakeholders on tradeoffs, and unblock multi-team execution for strategically important AI initiatives. • Implement, review, and validate code produced by models; write production‑quality code and run code reviews to ensure correctness and security. • Build robust integrations and connectors (MCP, REST/GraphQL APIs, webhooks, SDKs, CLIs) between AI tooling and enterprise SaaS (e.g., Okta, Google Workspace, Slack, Jira, Confluence, Jamf). • Own end‑to‑end deployment and lifecycle for AI services: CI/CD pipelines, Infrastructure as Code modules (Terraform), cloud deployment (GCP/AWS), monitoring, and incident/runbook playbooks. • Establish and operate model evaluation, monitoring, and governance: accuracy and safety metrics, hallucination detection, drift monitoring, telemetry, alerting, and human‑in‑the‑loop controls. • Lead vendor evaluations and POCs across commercial and open‑source LLM/agent platforms; produce comparative performance, risk, and TCO recommendations to inform adoption. • Partner with Cybersecurity and Compliance to design PHI‑safe data handling patterns (sanitization, tokenization, least‑privilege access, audit logging) and ensure AI solutions align with relevant controls and policies. • Create and maintain architecture diagrams, API documentation, runbooks, support documentation, and onboarding materials so solutions are maintainable and auditable. • Mentor engineers and influence architectural standards for AI/LLM adoption across Digital Workplace; contribute reusable libraries and IaC modules to accelerate future builds. • Drive automation of operational tasks (provisioning, onboarding, common workflows) via agents and workflow tooling to reduce manual processes. • Partner with Technology Services leadership to implement AI spend management tools and value tracking.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. • 8+ years professional software engineering / systems integration experience. • Practical experience owning the complete lifecycle of LLMs and agent • Experience evaluating model performance, mitigating hallucinations and bias, and implementing human‑in‑the‑loop controls. • Ability to define reference architectures and reusable patterns for AI services used across multiple teams. • Experience making architectural tradeoffs across reliability, latency, cost, security, and maintainability in production systems. • Experience establishing engineering standards, guardrails, and paved-road patterns for AI development and deployment. • Experience optimizing model/runtime cost, usage controls, and value measurement. • Strong coding experience in Python and/or TypeScript/JavaScript with production software engineering discipline (code reviews, testing, CI/CD). • Experience designing and building API integrations (REST/GraphQL), webhooks, and custom connectors to SaaS applications. • Experience with Infrastructure as Code (Terraform) and deploying services to cloud platforms (GCP/AWS). • Familiarity with CI/CD tooling and observability best practices (metrics, logs, tracing). • Working knowledge of security best practices for data‑sensitive systems and experience collaborating with Security & Compliance teams. Experience in healthcare or other regulated environments is strongly preferred. • Strong communicator and collaborator who can translate ambiguous business needs into technical designs and influence cross‑functional stakeholders. • Bias for action: ability to move quickly from POC to production while keeping operational rigor with change management. • Detail oriented with a security‑first mindset. • Proven ability to influence technical direction and align cross-functional stakeholders without direct authority. • Skilled at leading technical debates, resolving conflict, and driving decisions in ambiguous, high-stakes environments. • Strong executive communication skills, with the ability to translate complex technical concepts into clear business decisions and risk tradeoffs.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development