[Hiring] AI Solutions Engineer @Harris Computer

Role Description

The AI Solutions Engineer designs, implements, and continuously improves AI capabilities, both in MEDHOST products and in the tools our teams use to build them. This person turns business and clinical problems into secure, compliant, production-ready AI solutions. They also lead the design and improvement of our internal AI tools.

You’ll partner with Product, Engineering, QA, Security, and Compliance to turn AI ideas into working, production-quality solutions. As a trusted advisor to business and technical stakeholders, you’ll spread proven practices across teams and work directly with customers to support AI solution design and rollout.

You’ll help define the patterns, guardrails, and evaluation standards that let teams build and run AI features safely and repeatably.

The AI Solutions Engineer is remote within the U.S. and Canada.

Key Responsibilities

• Deliver AI-powered product features and agents, deployed either in products for customers or as internal digital workers.
• Build end-to-end agentic AI systems, including orchestration, tool use, memory, model routing, failure handling, and cost control.
• Identify when a deterministic workflow is the better fit, and keep the platform current as new models and frameworks emerge.
• Lead AI-accelerated delivery from prototype to production. Integrate models and agents with enterprise knowledge, APIs, tools, and transactional systems.
• Work directly with customers as needed to understand requirements, support AI deployments, and gather feedback.
• Establish practices for AI evaluation, regression testing, observability, drift, latency and cost monitoring.
• Capture and codify lessons learned from implementation work into shared best practices, including a consistent AI-DLC methodology for applying AI across the product development lifecycle.
• Run hands-on early-stage initiatives, proof-of-concepts, and first-of-a-kind projects to validate feasibility, unblock teams, or accelerate product development.
• Define, track, and report KPIs for AI solutions in both product and internal tools (for example, output quality, accuracy, reliability, cycle time, rework, and cost).
• Share results with stakeholders regularly and use them to prioritize improvements.
• Champion responsible AI principles, including fairness, transparency, privacy, and accountability.
• Facilitate workshops and deliver presentations focused on AI best practices.

Qualifications

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience) and 5+ years of software engineering or architecture experience.
• Proven experience leading or influencing initiatives across product, business, and technical domains.
• Strong understanding of core AI concepts, including large language models, ML workflows, prompt and context engineering, and agent orchestration.
• Hands-on technical depth. Strong, demonstrated expertise with Claude or Codex, including building reusable skills, context engineering and working with code graphs.
• Commitment to keeping up with the AI industry's latest news, concepts, and technologies.
• Excellent communication skills, able to convey technical concepts to non-technical audiences.
• Awareness of data governance, responsible AI principles, and regulatory considerations.
• Experience designing and running evaluation strategies for non-deterministic AI systems.
• Solid understanding of software architecture, APIs, cloud platforms, and CI/CD practices.
• Experience working in regulated environments, and a strong grasp of data privacy, security, and responsible-AI principles.

What Will Set You Apart

• Hands-on experience with spec-driven development, using structured specifications to guide AI implementation, testing, and validation.
• Experience in healthcare technology, including familiarity with healthcare regulations (such as HIPAA) and clinical, financial, or hospital workflows.
• A track record of taking AI solutions from proof of concept to production and improving them over time with measurable results.
• Experience building developer tools or AI-assisted software development lifecycle tooling, including Model Context Protocol (MCP), agent SDKs, or multi-agent systems.
• Active engagement with the AI community and up to date on emerging tools, frameworks, and integration best practices.
• Familiarity with Amazon Bedrock, self-hosting LLMs, and Claude Code.

Benefits

• Salary range: $110,000 - $150,000 USD per year.
• Plenty of opportunities to grow your career.
• Comprehensive medical, dental, and vision benefits.
• 3 weeks of vacation plus 5 personal days to recharge.
• Employee stock ownership and RRSP program.
• A chance to give back through community involvement.
• Flexible work arrangements to suit your lifestyle.