Enterprise AI Platform Engineer

About the Role

The Enterprise AI Platform Engineer transforms citizen-developed AI prototypes (using Python, Workato, and Claude Code) into secure, scalable, production-grade enterprise systems. This role is a vital link between the AI Innovation Lab and production engineering, evolving experimental Minimum Viable Products (MVVs) into long-term corporate capabilities.

Responsibilities

• Re-architect initial AI prototypes (Python, Workato, Claude Code) for secure, scalable enterprise deployment, including designing cloud infrastructure (AWS/Azure), implementing CI/CD pipelines, containerizing applications (Docker/Kubernetes), developing integration APIs, and setting up comprehensive monitoring and observability for all production AI systems.
• Ensure secure deployment by design, implementing robust secrets management and protecting data through encryption at rest and in transit; establish comprehensive audit logging, partner on critical security reviews, and validate ongoing compliance with enterprise policies and regulatory standards.
• Review prototypes to design production-ready and scalable architectures for 1,000+ users, collaborate on technology selection and integration patterns, establish engineering standards and best practices, and create comprehensive technical documentation.
• Support and mentor non-engineering teams through code review and troubleshooting for prototype solutions; build internal developer platforms and reusable infrastructure-as-code templates to accelerate development.
• Train the team on DevOps practices and create clear technical documentation for all stakeholders.

Requirements

• 5-8 years of software engineering experience focusing on production systems, full-stack development (Python/TypeScript), and RESTful API design.
• Deep expertise in cloud infrastructure (AWS/Azure), containerization (Docker/Kubernetes), and building robust DevOps CI/CD pipelines.
• Proven track record of transitioning MVPs to production environments or contributing to platform engineering and developer productivity.
• Proficiency in Python, JavaScript/TypeScript, and modern frameworks.
• Strong Python skills and deep expertise in cloud engineering (AWS/Azure equivalents), Infrastructure-as-Code (Terraform/CloudFormation), and CI/CD tools (e.g., GitHub Actions, Jenkins).
• Proficiency in container technologies (Docker, Kubernetes/EKS), relational/NoSQL databases (PostgreSQL, Redis), and designing APIs and integration patterns (REST, OAuth, API gateways).
• Legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications

• Expertise in specialized AI/ML platforms (LangChain, LlamaIndex, RAG) and integration tools (Workato, Zapier).
• Operational experience with Cloud Security and Observability tools, including AWS IAM, Secrets Manager, and monitoring systems like DataDog and Grafana.
• Familiarity with Serverless architecture (Lambda) and modern Frontend frameworks (React, Vue).

Benefits

• Open, inclusive, and fun environment
• Medical, dental, and vision insurance, as well as 401(k)
• Competitive salary plus RSUs
• Flexible PTO
• Opportunity to be part of a company revolutionizing the legal industry
• Growth opportunities throughout the company

About the Company

DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review, and case management for enterprises, law firms, legal services providers, and governments. Our scalable, integrated solution enables legal departments to easily collect, process, and review enterprise data relevant or potentially relevant to legal matters. At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.