Engineer II - AI Platform

At ALSAC you do more than make a living; you make a difference.

We like people who are different…because we’re different, too. As one of the world’s most iconic and respected nonprofits, we know what it’s like to stand out. That’s why we’re looking r background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we’re calling on the game‑changers, innovators and visionaries to join our family.

Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So bring your whole, authentic self and become part of our shared mission:
Finding cures. Saving children.

We’re looking for an AI Platform Engineer II to help build the secure, scalable foundations that power enterprise AI  this role, you’ll design and develop core platform components—ranging from backend services and cloud infrastructure to the LLM systems that support our retrieval‑augmented generation (RAG) capabilities. You’ll work hands‑on with vectorization platforms, embeddings pipelines, APIs, and automation patterns that keep our AI environment reliable, compliant, and operationally ready.

As an Engineer II, you’ll independently own end‑to‑end delivery of moderate features and short projects, collaborate with senior engineers and cross‑functional teams, and mentor Engineer I‑level peers. Whether optimizing our LLM gateway architecture, improving observability across the platform, or contributing to scalable infrastructure‑as‑code, you’ll help shape the AI capabilities that drive innovation and directly support the mission of St. Jude.

• Platform & Application Development
  • Contribute to the development and maintenance of LLM gateways, retrieval‑augmented generation platforms, or AI‑powered applications.
  • Design, develop, and maintain AI infrastructure or applications, including LLM gateways, retrieval‑augmented generation platforms, and AI‑powered user experiences or integrations, ensuring secure, scalable, and enterprise‑ready solutions.
  • Participate in the integration of AI solutions with enterprise systems and data sources.
  • Independently develop APIs and automation scripts for data integration and platform scalability.
• Security, Governance, and Observability
  • Support the implementation of security, compliance, and governance controls for AI systems.
  • Assist with logging, monitoring, and reporting for auditability and usage insights.
• Engineering & Dev Ops
  • Develop and deploy AI applications using CI/CD pipelines and containerized environments (Docker, Kubernetes).
  • Apply Dev Ops practices such as dependency management, vulnerability scanning, and role‑based access as appropriate to project scope.
• Collaboration & Delivery
  • Work with business/product stakeholders to translate requirements into AI features or applications.
  • Collaborate with senior engineers and platform teams to adopt new capabilities and provide feedback.
  • Participate in agile development processes (Scrum) to deliver projects efficiently.
  • Mentor or review work from Analyst and Engineer I‑level team members.
• Learning & Growth
  • Expand expertise in either AI infrastructure or application development, with opportunities to learn from senior engineers and cross‑functional teams.
  • Share knowledge and support peer learning within the team.

• Bachelor’s in Computer Science, Software Engineering, Infrastructure Engineering, Cloud Engineering, or related field (or equivalent experience).
• 5–7+ years of experience in software development, infrastructure engineering, or cloud engineering, with demonstrated proficiency in either AI infrastructure or AI application development.
• Experience building backend applications and APIs (REST/Graph
  
  QL/gRPC) or developing user‑facing AI applications.
• Familiarity with GenAI frameworks (Lang Chain, Llama Index, Semantic Kernel, etc.) or cloud‑native development (AWS, Azure, GCP).
• Proficiency in at least one modern programming language (Python, Java, Type Script, etc.).
• Experience with CI/CD pipelines and containerization (Docker, Kubernetes) is preferred.
• Strong problem‑solving and collaboration skills. Excellent written and…