Engineer II - AI Platform

ALSAC•Memphis, TN

About The Position

We’re looking for an AI Platform Engineer II to help build the secure, scalable foundations that power enterprise AI at ALSAC. In 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.

Requirements

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/GraphQL/gRPC) or developing user-facing AI applications.
Familiarity with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.) or cloud-native development (AWS, Azure, GCP).
Proficiency in at least one modern programming language (Python, Java, TypeScript, etc.).
Experience with CI/CD pipelines and containerization (Docker, Kubernetes) is preferred.
Strong problem-solving and collaboration skills.
Excellent written and verbal communication skills.

Responsibilities

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 develops 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 & DevOps Develop and deploy AI applications using CI/CD pipelines and containerized environments (Docker, Kubernetes).
Apply DevOps 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.
Mentoring or reviewing 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.

Benefits

Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
401K Retirement Plan with 7% Employer Contribution
Exceptional Paid Time Off
Maternity / Paternity Leave
Infertility Treatment Program
Adoption Assistance
Education Assistance
Enterprise Learning and Development
And more

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