Senior AI Architect for Enterprise GenAI & Cloud

RXinsider LTD.; Cambridge, Northern (MA, KY); Hybrid; USD 146,000 - 234,000; Full time

Benefits offered by this job

Healthcare coverage

Well-being resources

Family planning benefits

Generous paid time off

Equity/bonus potential

Location-specific perks

Job summary

Moderna is seeking a Senior AI Engineer in Cambridge, MA to provide deep technical leadership for AI software platforms and cloud-based deployment patterns for Supply Chain and enterprise Digital. You will own end-to-end architecture for AI/data products and oversee MLflow lifecycle, vector search, and observability for scalable production systems.

The role requires 7+ years in software/AI engineering and hands-on experience across Python/SQL, frontend and backend APIs, and cloud platforms.

Qualifications

• 7+ years of software, data, or AI engineering experience, including 4+ years delivering production ML, GenAI, analytics, automation, or data-intensive systems.
• Expert proficiency with Python and SQL, strong software architecture fundamentals, and experience with at least one additional language such as Java, Scala, or TypeScript.
• Hands-on frontend engineering experience with TypeScript/JavaScript and a modern framework such as React, Angular, Vue, or Svelte, including reusable components, state management, forms, charts, accessibility, and responsive design.
• Hands-on backend engineering experience designing production APIs and services using Python, Node.js, Java, Scala, or comparable technologies, including REST/GraphQL patterns, service boundaries, authentication, authorization, testing, observability, and production debugging.
• Demonstrated experience architecting and operating LLM/GenAI systems, including RAG, agents/tool use, embeddings/vector search, model and prompt evaluation, guardrails, monitoring, and human-in-the-loop controls.
• Strong background in cloud architecture on AWS, Azure, or GCP, including IAM, networking, secrets management, CI/CD, infrastructure-as-code, and production support models.
• Experience designing secure, compliant, auditable systems in regulated environments, with practical understanding of GxP, data integrity, validation documentation, and change control.

Responsibilities

• Define the technical strategy and reference architecture for AI software delivery, GenAI applications, agentic workflows, ML services, and cloud-based data/AI platforms.
• Lead end-to-end Cloud deployment standards across development, test, validation, and production environments, including workspace architecture, Delta Lake/Lakehouse design, Unity Catalog, Workflows/Jobs, MLflow, model serving, deployment automation, observability, and access governance.
• Build and review critical software components, APIs, orchestration patterns, model-serving interfaces, reusable libraries, and platform accelerators that enable teams to move AI prototypes into production reliably.
• Establish engineering practices for AI/ML/LLMOps, including automated testing, CI/CD, infrastructure-as-code, release management, model and prompt versioning, evaluation, monitoring, incident response, and rollback.
• Guide integration of SAP and enterprise data sources into trusted data products, feature pipelines, semantic layers, and decision-support services for Supply Chain, Quality, Manufacturing, Finance, and Digital stakeholders.

Skills

Python

SQL

Java/Scala/TypeScript

React/Vue/Angular

API design

LLMOps

Cloud architecture

Education

Bachelor's/Master's in CS or related

Tools

Databricks

Terraform

MLflow

Unity Catalog

Vector search

Delta Lake

Job description

Moderna is seeking a Senior AI Engineer in Cambridge, MA to provide deep technical leadership for AI software platforms and cloud-based deployment patterns for Supply Chain and enterprise Digital. You will own end-to-end architecture for AI/data products and oversee MLflow lifecycle, vector search, and observability for scalable production systems.

The role requires 7+ years in software/AI engineering and hands-on experience across Python/SQL, frontend and backend APIs, and cloud platforms.