Forward-deployed AI Engineer

SCAN Group is looking for a Forward Deployed AI Engineer to embed with internal teams and help translate real operational needs into AI-enabled production systems. In this role, you will work closely with business leaders and engineering partners to identify measurable opportunities, prototype quickly, and deliver solutions built on SCAN’s enterprise AI capabilities.

Based onsite in Long Beach, CA, this position focuses on turning ambiguity into clear technical requirements, deploying reliable AI applications, and continuously improving impact after launch across teams and domains.

What you’ll do

• Embed with SCAN teams to understand workflows, operational challenges, and strategic priorities.
• Lead discovery through stakeholder interviews, workflow observation, process analysis, and opportunity assessment.
• Translate unclear business problems into technical requirements with measurable success criteria.
• Build trusted relationships with SCAN leaders and act as a strategic technology partner.
• Design, develop, test, deploy, and support AI-enabled applications using SCAN’s large language models (LLMs), AI agents, retrieval-augmented generation (RAG), workflow automation, APIs, and modern software engineering practices.
• Rapidly prototype solutions, validate concepts with users, and iterate based on business feedback.
• Build production-ready software using SCAN’s enterprise AI platform, including opportunities to reverse-integrate new capabilities back into the core platform.
• Evaluate emerging AI technologies and recommend approaches aligned to business needs.
• Translate complex business requirements into scalable, maintainable technical architectures.
• Collaborate with architects, product managers, platform engineers, data engineers, and security teams to deliver enterprise AI solutions.
• Develop reusable components, patterns, and technical assets to accelerate future AI development.
• Contribute to engineering standards, best practices, and continuous improvement across the AI organization.
• Establish measurable success metrics for AI solutions and monitor business impact after deployment.
• Continuously optimize solutions using operational data, user feedback, and evolving business needs.
• Identify additional automation and AI opportunities through ongoing engagement with business partners.
• Support organizational adoption through education, coaching, and change management.
• Apply responsible AI practices, including transparency, traceability, explainability, fairness, privacy, and human oversight.
• Partner with security, compliance, legal, and governance teams to support safe and appropriate AI use.
• Document solution design, risks, controls, assumptions, and operational considerations for AI systems.
• Ensure AI solutions comply with organizational standards, regulatory requirements, and security policies.

Required qualifications

• Bachelor’s Degree or equivalent experience in computer science, engineering, or a related field.
• Deep applied understanding of LLM-based architectures, RAG, vector embeddings, prompt engineering, and agent orchestration.
• Experience designing, building, and deploying AI-enabled applications, services, workflows, and integrations.
• Proficiency with Azure AI Services, Azure AI Foundry, and enterprise content management platforms (SharePoint, Microsoft 365, Teams, Confluence).
• Strong Python (or equivalent), REST APIs, ML/LLMOps tooling, and frameworks (FastAPI, LangChain, Microsoft Agent Framework, etc.).
• Ability to connect business requirements to technical solutions, build reusable components, and improve adoption and operational impact.
• Collaborative communicator comfortable engaging non-technical stakeholders and cross-functional teams.
• Curiosity and initiative with continuous learning, adapting quickly to new frameworks and technologies.
• Leadership skills to develop others.
• Business insight, problem-solving skills, and a strategic mindset focused on sustaining competitive advantage.

Technologies

• Python, REST APIs, FastAPI, LangChain, Microsoft Agent Framework
• Azure AI Services, Azure AI Foundry
• SharePoint, Microsoft 365, Teams, Confluence
• LLMs, AI agents, retrieval-augmented generation (RAG), vector embeddings
• Prompt engineering, agent orchestration
• ML/LLMOps tooling, enterprise AI platform

Compensation & benefits

• Base salary range: $125,400 to $215,975 per year
• 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
• Opportunity to join a team making a difference to members and the community

Preferred experience & certifications

• 6+ years of experience in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally in regulated industries such as healthcare.
• 3+ years hands-on experience building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions.
• Experience delivering enterprise-scale AI or digital transformation initiatives with cross-functional collaboration (business, healthcare, data, security, compliance, and technology).
• Experience building production-grade applications, APIs, data pipelines, automation workflows, or cloud-based AI services.
• Familiarity with Azure AI Foundry, Azure OpenAI, Azure AI Services, Databricks, Snowflake, or similar enterprise AI and data platforms.
• Microsoft Certified: Azure AI Engineer Associate (or relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development).
• Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous.
• Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.