Senior AI/ML Platform Engineer (Cloud & DevOps)

Job Description

Senior AI/ML Platform Engineer (Cloud & DevOps) 

The Senior AI/ML Platform Engineer owns the cloud infrastructure, CI/CD, and platform tooling behind our team's Generative AI and Natural Language Processing (NLP) applications and services. Key focus areas will include maintaining and evolving AWS Infrastructure as Code and CI/CD for our data pipelines, APIs, and applications; secure data transfer from external content providers; self-service hosting patterns that let data scientists and developers easily put their work in front of users; and operating infrastructure services such as OpenSearch. This platform supports critical use cases spanning early-stage scientific research to post-market surveillance, including systematic literature reviews, competitive intelligence, target identification, and safety monitoring. 

You'll work directly alongside the data scientists and engineers who use the platform. You will have the autonomy to propose and try new tools, see your work streamline complex workflows, and ultimately help bring therapeutics to patients. As you grow, you'll have opportunities to expand into emerging areas, such as infrastructure for AI agents and Model Context Protocol (MCP) servers. The position is embedded within a cross-disciplinary team of data scientists, bioinformaticians, and engineers dedicated to using cutting-edge AI/ML and data science techniques to drive drug discovery and development. 

What you will do:

• Developer platform: Build self-service paths that let data scientists and developers ship their work to users quickly, leveraging shared enterprise platforms or custom AWS infrastructure as needed, and drive development of complex platform initiatives 

• Requirements validation: Partner closely with stakeholders to clarify requirements and critically examine them for assumptions, feasibility, consistency, and completeness throughout the design lifecycle 

• Platform standards: Shape easy-to-follow infrastructure, CI/CD, and operational standards across the team 

• Solution design: Write technical specifications that weigh architectural options, trade-offs, and risks, recommending the best-fit tools and approaches 

• Reliable delivery: Make builds and releases fast, secure, and repeatable, with reviews, automated quality gates, and change control 

• Cloud environments: Provision, scale, patch, and upgrade environments, and lead cost, capacity, and performance tuning across our cloud footprint 

• Operational excellence: Track site reliability engineering (SRE) metrics against the team's reliability targets, and run monitoring, issue triage, and root cause analysis to keep applications highly available 

• AI-enabled operations: Integrate agents into platform operations, such as automated alert triage, incident diagnosis, and automated fixes for failed builds, with appropriate human oversight 

• Knowledge building: Mentor team members through design discussions and constructive infrastructure and code reviews, and translate technical knowledge into clear, comprehensive documentation and onboarding materials 

What you should have

• 5+ years of professional experience in cloud, DevOps, or platform engineering 

• 3+ years of experience authoring Infrastructure as Code (e.g. Terraform) and CI/CD pipelines (e.g. GitHub Actions) to provision resources and deploy workloads on a major cloud provider (AWS preferred) 

• Experience owning production operations, including infrastructure monitoring and incident management 

• A Bachelor's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience 

Current Employees apply HERE

Current Contingent Workers apply HERE