Junior AI Engineer

Job not on LinkedIn

November 5

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+3 more states

🌵 Arizona – Remote 🏄 California – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🤠 Texas – Remote

💵 $80.3k - $138.3k / year

⏰ Full Time

🟢 Junior

🤖 AI Engineer

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SCAN

WebsiteLinkedInAll Job Openings

Healthcare Insurance • B2C

SCAN is a mission-driven healthcare organization focused on reinventing aging by delivering evidence-based, patient-centered care and coverage for older adults. It operates an integrated portfolio including health insurance plans with innovative benefits, in-home and virtual primary care, support programs for caregivers and homebound older adults, and specialized services for vulnerable populations. SCAN also invests in and partners with companies that advance care models and resources to help older adults remain healthy and independent at home.

1001 - 5000 employees

Founded 1977

⚕️ Healthcare Insurance

👥 B2C

📋 Description

• Prototype & Support: Implement and refine proof-of-concept AI solutions under guidance—especially around data ingestion, model testing, pipeline automation using Azure AI Services and Azure AI Foundry components. • Data Preparation: Clean, label, and structure unstructured data (text, PDFs, images) for model ingestion and Resource-Augmented Generation ( RAG ) workflows, building embeddings or retrieval indexes as needed. • Prompt & Tool Development: Assist in creating and tuning prompts, function calls, skill definitions, and service integrations for enterprise-grade GPT/Copilot and Foundry‐based agent applications. • Evaluation & QA: Support testing of model outputs, participate in red-team exercises, validation of responses, monitoring for compliance and quality, and help refine evaluation dashboards. • Documentation: Maintain versioned records of model configurations, prompt templates, evaluation results, and pipeline documentation to support reuse and transparency. • Learning & Collaboration: Engage in continuous learning around AI engineering best practices, cloud development, Azure AI services, Foundry mechanics, and Responsible AI principles. Participate in team knowledge-share and collaboration.

🎯 Requirements

• Bachelor's Degree or equivalent experience preferred • Foundational understanding of LLM concepts, prompt engineering, vector databases, and how Azure AI Services work • Basic proficiency in Python (or similar), REST APIs, JSON schemas, and workflow automation tools (Logic Apps, Power Automate, n8n, etc.) • Familiarity with Azure AI Foundry fundamentals (model catalog, agent service, connections to Azure AI Services) is a strong advantage • Strong curiosity, initiative, and ability to absorb feedback in a fast-moving, experimental environment • Commitment to Responsible AI practices — understanding transparency, traceability, and nice to have basic bias/fairness awareness • Collaborative spirit; able to support multiple initiatives and interface with business, analytics, and engineering teams.

🏖️ Benefits

• An annual employee bonus program • Robust Wellness Program • Generous paid-time-off (PTO) • 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days • Excellent 401(k) Retirement Saving Plan with employer match • Robust employee recognition program • Tuition reimbursement