AI Solutions Engineer

🔥 8 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🦌 Connecticut, Florida, +5 more states – Remote

🦌 Connecticut – Remote 🐊 Florida – Remote 🌲 North Carolina – Remote 🚗 Michigan – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote

💵 $110k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Harris Computer

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Harris Computer is a company that provides mission-critical software solutions across various industries, including the public sector, healthcare, utilities, and private sector verticals. They focus on acquiring businesses with growth potential, managing them effectively, and building them for future success. Harris Computer serves over 100,000 customers with a global presence in North America, Europe, Asia, and Australia, employing over 12,000 people. Their mission is to empower customers to deliver on their goals by offering tailored software and services.

📋 Description

• Design, implement, and continuously improve AI capabilities in MEDHOST products and internal tools • Turn business and clinical problems into secure, compliant, production-ready AI solutions • Lead the design and improvement of internal AI tools • Partner with Product, Engineering, QA, Security, and Compliance teams • Advise business and technical stakeholders on AI solutions • Work directly with customers to support AI solution design and rollout • Define patterns, guardrails, and evaluation standards for safe, repeatable AI development • Deliver AI-powered product features and agents for customers and internal digital workers • Build end-to-end agentic AI systems with orchestration, tool use, memory, model routing, failure handling, and cost control • Lead AI-accelerated delivery from prototype to production • Integrate models and agents with enterprise knowledge, APIs, tools, and transactional systems • Establish AI evaluation, regression testing, observability, drift, latency, and cost-monitoring practices • Codify implementation lessons into shared best practices and an AI-DLC methodology • Run proof-of-concepts and first-of-a-kind projects • Define, track, and report AI solution KPIs • Champion responsible AI principles including fairness, transparency, privacy, and accountability • Facilitate workshops and deliver presentations on AI best practices

🎯 Requirements

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience) • 5+ years of software engineering or architecture experience • Proven experience leading or influencing initiatives across product, business, and technical domains • Strong understanding of large language models, ML workflows, prompt and context engineering, and agent orchestration • 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 • Strong grasp of data privacy, security, and responsible-AI principles • Hands-on experience with spec-driven development • Experience in healthcare technology and familiarity with healthcare regulations such as HIPAA and clinical, financial, or hospital workflows • 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 current knowledge of emerging tools, frameworks, and integration best practices • Familiarity with Amazon Bedrock, self-hosting LLMs, and Claude Code

🏖️ Benefits

• 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 • Casual work environment • Comprehensive benefit package • Additional “Perks” • Award-winning culture • Opportunity to learn

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