Senior Cloud & AI Architect for Enterprise SaaS

Dassault Systèmes; New York (NY); Hybrid; USD 158,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Life insurance

Disability insurance

401(k) matching

Family leave

Flexible paid time off

10 paid holidays

Job summary

Medidata seeks a Principal Systems Architect to lead end-to-end, cloud-native SaaS architecture across multiple product lines. You will define target-state architecture, guide multi-year roadmaps, and mentor engineers in a high-ambition modernization effort.

The role combines hands-on coding with architecture leadership, staying hands-on while setting standards for security, scalability, and deployment via Kubernetes, AWS, and Terraform. This is a hybrid role based in New York or Metropark.

Qualifications

• Bachelor's degree with 15+ years of experience, Master's degree with 12+ years, or PhD with 8+ years in Computer Science, Software Engineering, or a related technical field.
• Progressive software engineering background, including significant tenure at a Principal/Architect level shaping platform strategy.
• Expert-level proficiency in Java and Python, alongside broad multi-language proficiency.
• Proven history of designing resilient, high-throughput distributed systems and data pipelines operating at scale.
• Hands-on mastery of cloud platforms (Kubernetes, serverless, Terraform/IaC) and modern data tooling.
• Direct experience operationalizing enterprise AI/LLM product capabilities, agent orchestration, and evaluation frameworks.
• Excellent communication and influencing skills—capable of translating architectural trade-offs for engineers, executive leadership, and compliance bodies.

Responsibilities

• Define end-to-end, outcome-based solutions across product lines and engineering domains — ensuring multi-system interoperability, alignment to enterprise architecture standards, and capability reuse.
• Author architectural blueprints and decision records; partner with Product Management to evaluate emerging technologies and translate business strategy into multi-year technical roadmaps.
• Design multi-tenant, event-driven, microservices systems at scale — messaging architectures, data partitioning strategies, and web APIs (REST, GraphQL) — setting enterprise standards for application security.
• Stay hands-on: build proofs of concept and reference implementations, review critical pull requests, and set engineering standards through working code — not just documents.
• Own AWS cloud architecture across container orchestration (Kubernetes/EKS) and serverless (Lambda), standardizing the deployment lifecycle through Infrastructure as Code (Terraform).
• Design enterprise-grade AI agents and LLM-powered capabilities — MCP-based services, orchestration, tool use, and evaluation — with human-in-the-loop governance; partner with Data teams to operationalize production ML.
• Lead complex legacy modernization and migration programs with phased, de-risked delivery strategies; advise executive leadership on technical risk assessment.
• Exercise wide autonomy to mentor senior and staff engineers, run cross-team architecture reviews, and resolve critical, enterprise-level challenges where precedent does not exist. Responsible for developing resolution to critical issue.

Skills

Java

Python

Multi-language

Education

Bachelor's degree

Master's degree

PhD

Tools

Kubernetes

Terraform

IaC

Serverless

Job description

Medidata seeks a Principal Systems Architect to lead end-to-end, cloud-native SaaS architecture across multiple product lines. You will define target-state architecture, guide multi-year roadmaps, and mentor engineers in a high-ambition modernization effort.

The role combines hands-on coding with architecture leadership, staying hands-on while setting standards for security, scalability, and deployment via Kubernetes, AWS, and Terraform. This is a hybrid role based in New York or Metropark.