The Job:We're looking for engineers who enjoy solving messy healthcare problems more than building features.
As a Forward Deployed AI Engineer, you'll embed with SCAN's teams to understand how work actually happens, identify opportunities where AI can make a measurable difference, and rapidly design, build, and deploy solutions that improve outcomes.
Instead of working on a single product, you'll own transformation of teams and domains.
One engagement might focus on reducing turnaround time for member questions, while another might improve case manager productivity. The next could automate administrative operations or help employees make better decisions with enterprise knowledge.
You'll partner closely with business leaders, product owners, architects, and platform engineers to turn ambiguity into production systems.
Essential Job Functions:Business Partnership & Discovery - Embed with SCAN's teams to understand workflows, operational challenges, and strategic priorities.
- Lead discovery activities including stakeholder interviews, workflow observation, process analysis, and opportunity assessment.
- Translate ambiguous business problems into clear technical requirements and measurable success criteria.
- Build trusted relationships with SCAN leaders and serve as a strategic technology partner.
AI Solution Design & Delivery - 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, identifying opportunities to reverse-integrate any new capabilities to the core platform.
- Evaluate emerging AI technologies and recommend appropriate approaches based on business needs.
Technical Leadership - Translate complex business problems 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 that accelerate future AI development.
- Contribute to engineering standards, best practices, and continuous improvement across the AI organization.
Business Outcomes & Continuous Improvement - Establish measurable success metrics for AI solutions and monitor business impact after deployment.
- Continuously optimize solutions based on operational data, user feedback, and changing business needs.
- Identify additional automation and AI opportunities through ongoing engagement with business partners.
- Support organizational adoption of AI through education, coaching, and change management.
Responsible AI, Security & Governance - 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.
Your Qualifications:- Bachelor's Degree or equivalent experience in Computer science, Engineering, or a related field
- Deep applied understanding of LLM-based architectures, retrieval-augmented generation (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, develop reusable components, and improve solution adoption and operational impact.
- Collaborative communicator, comfortable engaging non-technical stakeholders and cross-functional teams.
- Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.
- Strong business partnering skills, self-direction, and influence; able to define roadmaps, persuade skeptics, and drive adoption of new processes or technologies
- Demonstrates curiosity, initiative, and continuous learning; adapts quickly to new frameworks and technologies.
- Leadership - Skilled to develops others
- Business Insight - In-Depth understanding of the business
- Problem Solving - Good problem-solving skills
- Strategic Mindset - Creates strategies to sustain competitive advantage
Preferred Certifications or Licenses: - Microsoft Certified: Azure AI Engineer Associate
- Relevant certifications in cloud platforms, AI engineering, machine learning, data engineering, or software development are beneficial.
- Additional certifications in Responsible AI, Data Governance, Cybersecurity, or Healthcare Informatics are advantageous.
Experience Preferred: - Extensive experience (6+ years) in AI engineering, software engineering, data engineering, machine learning, automation, or enterprise technology delivery, ideally within regulated industries such as healthcare.
- Demonstrated hands-on expertise (3+ years) building AI-enabled applications, integrating large language models, implementing RAG patterns, or delivering machine learning solutions.
- Proven track record delivering enterprise-scale AI or digital transformation initiatives, including cross-functional collaboration with business, healthcare, data, security, compliance, and technology teams.
- 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 is highly valued.
- Strong stakeholder management and communication skills, with ability to translate business needs into scalable technical solutions and drive adoption across diverse teams.
- Domain expertise in healthcare, including regulatory and member-focused nuances, is a plus.
What's in it for you?- Base Salary Range: $125,400 to $215,975 annually
- 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
- An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
#LI-JB1 #LI-Hybrid
