Staff AI Solutions Engineer
Included Healthabout 3 hours ago
Responsibilities
- Design, build, deploy, and maintain production LLM-based solutions and agent workflows.
- Own the technical strategy and reference architecture for enterprise AI solutions.
- Lead high-complexity, cross-functional AI initiatives from problem definition to production adoption.
- Define and evolve reusable platform capabilities and implementation standards.
- Review citizen developer AI agents for optimization and compliance.
- Influence roadmap and investment decisions through technical leadership.
- Drive technical debates and align stakeholders on tradeoffs.
- Implement, review, and validate code produced by models.
- Build integrations and connectors between AI tooling and enterprise SaaS.
- Own end-to-end deployment and lifecycle for AI services.
- Establish and operate model evaluation and monitoring.
- Lead vendor evaluations and POCs for LLM/agent platforms.
- Partner with Cybersecurity and Compliance for data handling patterns.
- Create and maintain architecture diagrams and documentation.
- Mentor engineers and influence architectural standards.
- Drive automation of operational tasks via agents and workflow tooling.
- Partner with Technology Services leadership for AI spend management.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 8+ years of professional software engineering or systems integration experience.
- Practical experience owning the complete lifecycle of LLMs and agents.
- Experience evaluating model performance and implementing human-in-the-loop controls.
- Ability to define reference architectures for AI services.
- Experience making architectural tradeoffs in production systems.
- Strong coding experience in Python and/or TypeScript/JavaScript.
- Experience designing and building API integrations and custom connectors.
- Experience with Infrastructure as Code (Terraform) and cloud deployment.
- Familiarity with CI/CD tooling and observability best practices.
- Working knowledge of security best practices for data-sensitive systems.
- Strong communication and collaboration skills.