DevOps Engineer

AI Dev Ops Engineer

Job Summary

Location:

South San Francisco, CA Onsite 3 days/week Role Impact & Expectations:
Join Genentech's Early Clinical Development (ECD) team as an AI Dev Ops Engineer. This role directly shapes the next generation of clinical data platforms and AI-driven solutions, enabling innovative automation and impactful insights within clinical research. You will collaborate with diverse experts, develop robust cloud infrastructure, and deploy cutting-edge generative AI applications, accelerating scientific discovery and clinical operations.

Key Responsibilities:

- Design, develop, and deploy scalable software for AI/ML-powered clinical data solutions.

- Build and maintain CI/CD pipelines, ensuring reliable and secure deployment of AI-enhanced applications.

- Integrate AI/LLM capabilities (e.g., chatbots, RAG systems) into clinical applications.

- Maintain and optimize cloud infrastructure (AWS, EKS, RDS, EC2) and containerized environments (Docker, Kubernetes).

- Implement Infrastructure as Code (Terraform, Cloud Formation) and Git Ops workflows (Argo CD).

- Monitor systems using observability tools (Prometheus, Grafana, ELK stack) and ensure high reliability.

- Collaborate cross-functionally with data scientists, engineers, and product managers to deliver seamless AI solutions.

- Apply security best practices, compliance frameworks, and incident management protocols.

- Stay current with AI, Dev Ops, and cloud trends; evaluate new technologies for continuous improvement.

- Write clean code, contribute to documentation, and participate in code reviews. Recruiter Insights:

- Strategic Position:
Influences the digital transformation of clinical research through advanced AI and automation.

- Competitive Edge:
Work with modern stacks (AWS, Kubernetes, Terraform, FastAPI) and collaborate with leading AI scientists and developers.

- Innovation Focus:
Engage with state-of-the-art generative AI, LLMs, and real-world healthcare applications.

- Skill Development:
Exposure to full stack, cloud, and AI/ML technologies in a high-impact, mission-driven environment.

- Attractive to Candidates with experience in AI-powered automation, cloud infrastructure, and regulated environments.

- Preferred

Skills:

Experience with Huggingface, Langchain, Tensor Flow, PyTorch, Dev Sec Ops , and clinical NLP is valued but not mandatory. Candidate Insights:

- Make a Difference:
Directly impact healthcare and patient outcomes through AI-driven solutions.

- Collaborative Culture:
Work alongside multi-disciplinary teams of scientists, engineers, and clinicians.

- Modern Tech Stack:
Hands-on with cloud-native, containerized, and AI-powered systems.

- Continuous Learning:
Stay at the forefront of generative AI and infrastructure automation.

- Work-Life Balance:
Hybrid work structure, located in a premier biotech hub.

- Competitive Compensation:
Strong benefits and professional growth opportunities. This is a unique opportunity for those passionate about AI, Dev Ops, and healthcare innovation to join a visionary team advancing clinical science.