Note: The job is a remote job and is open to candidates in USA. Included Health is seeking a hands‑on Staff AI Solutions Engineer to be part of our IT Solutions team. The right candidate will be passionate about the advancements in AI and will have experience in owning deployment/hosting decisions and implementation.
Responsibilities
- 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
Skills
- 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
- Prior experience working in high-growth, pre-IPO companies and/or industry experience in Technology or Healthcare preferred
- Affinity for bad Jokes
Benefits
- Remote-first culture
- 401(k) savings plan through Fidelity
- Comprehensive medical, vision, and dental coverage through multiple medical plan options (including disability insurance)
- Paid Time Off ("PTO") and Discretionary Time Off (“DTO”)
- 12 weeks of 100% Paid Parental leave
- Family Building & Compassionate Leave: Fertility coverage, $25,000 for surrogacy/adoption, and paid leave for failed treatments, adoption or pregnancies.
- Work-From-Home reimbursement to support team collaboration home office work
Company Overview
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