AI Full Stack Engineer
$114.3k - $212.3kF. Hoffmann-La Roche AG
## AI Full Stack EngineerApplylocations: Indianapolistime type: Full timeposted on: Posted Todaytime left to apply: End Date: June 13, 2026 (10 days left to apply)job requisition id: 202605-111779At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.### ### The PositionA healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.****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 turns 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.****The Opportunity:***** 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.****Who You Are:***** 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****Preferred Requirements:***** 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.**This position is based in **Indianapolis, IN** and has an in office requirement of 3 days/wk.******Relocation benefits are not available for this job posting.****The expected salary range for this position based on the primary location of Indiana is $114,300 - $212,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. #J-18808-Ljbffr
$145k - $160k
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...F. Hoffmann-La Roche AG is seeking a Full Stack Engineer to join our Indianapolis team. In this pivotal role, you will design and deploy innovative... ...operational data into actionable tools. You will work on AI applications, manage MLOps infrastructure, and ensure the...Work at office3 days per week$110k - $120k
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$100k - $125k
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$142.6k - $261.5k
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$102.5k - $187.9k
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