AI Full Stack Engineer

Roche•Indianapolis, IN

21h•$114,300 - $212,300•Hybrid

About The Position

The AI Full Stack Engineer is a pivotal role within the Service Intelligence team, responsible for designing and deploying the software solutions that turn Roche Support Network (RSN) operational data into actionable tools. This individual will bridge the gap between complex AI models and the daily operations of field and depot service teams, ensuring that intelligence is not just generated, but accessible and intuitive for the enterprise. Your mission is to design, craft, deploy, and sustain software solutions that are tailored to business requirements and objectives using a combination of frontend, backend, full-stack, and mobile development expertise. You adhere to in-depth domain knowledge and promote a DevOps and Cloud-focused approach. You will also act as a technical lead for projects and lead employees and processes in programming activities. You have an overall understanding of the key challenges in our industry. You are passionate about the application of software engineering practices and their advanced application to data science to drive insights and value within a business-centric environment.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Business Administration, or other related field or equivalent work experience
7 years experience with previous business application system implementations / ERP system configuration or AI or data science applications

Nice To Haves

Master’s or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent preferred.
Previous software engineering management and project management experience.
Extensive stakeholder management and technical leadership experience.
Expert understanding of software engineering best practices and their application in Data Science organizations.
Solution-oriented and agile approach to solving business problems.
Ability to collaborate with peers and provide effective, enterprise-wide capabilities and solutions.
Expert understanding of key technologies including, but not limited to, Python, Javascript, and Web Frameworks.
Expert understanding of key Cloud technologies and services (AWS, Azure, GCS).
Strong problem solving and consistent decision making skills.
Strong written and verbal communication skills, particularly relating to conveying technical information to senior leadership.

Responsibilities

Drives End-to-End Service AI Applications: Oversees the full lifecycle of applications that support service performance, from initial design to the deployment of tools used by the RSN organization.
Integrate Service Ecosystems: Design and deploy production-grade APIs and interfaces that connect AI insights with core service systems like Salesforce® FSM and SAP®.
Engineers for the Full Stack: Designs, crafts, and deploys production-grade AI solutions using Python (Flask/FastAPI), SQL, and modern front-end frameworks (like React or Vue.js with JavaScript). This includes building backend APIs, managing data pipelines as needed, and creating interactive user interfaces.
Implements and Manages MLOps Infrastructure: Establishes and maintains the CI/CD/CT (Continuous Integration/Delivery/Training) pipelines necessary for automating the deployment, monitoring, and retraining of machine learning models in a cloud environment.
Champions Service Intelligence Architecture: Ensures all solutions are built with scalability, reliability, and security in mind. Promotes best practices in version control (Git), containerization (Docker and Kubernetes), and cloud services (AWS, GCP, or Azure).
Agile Prototyping for Service Excellence: Use agile methodologies to rapidly prototype and iterate on solutions based on feedback from service stakeholders and field leadership.
Regulatory Alignment: Ensure all developed code and documentation adhere to the Roche Quality Management System (QMS) and regulatory standards such as ISO 13485
Leads with Change Agility: Acts as a catalyst for transitioning the team from a project-based support function to a product-driven AI platform team, driving the adoption of new technologies from IT, and methodologies in a positive manner.