Senior Agentic AI Engineer — Production Tools

AstraZeneca; Cambridge (MA); On-site; USD 137,000 - 206,000; Full time

Benefits offered by this job

Short-term incentive bonuses

Equity-based awards

Retirement programs

Paid time off

Health insurance

Dental coverage

Vision coverage

Job summary

AstraZeneca in Cambridge, MA, seeks an experienced engineer to design, build, and operate agentic AI systems used by biologics scientists. You will craft domain-specific agentic tools, connect them to internal data and services, and deploy end-to-end applications with robust authentication, logging, and evaluation.

You will work in an environment that emphasizes FAIR data practices, security compliance, and scalable infrastructure on AZ platforms such as AWS, Kubernetes, and Domino.

Qualifications

• MS degree or equivalent demonstrated ability in a quantitative field.
• 3–10 years of relevant software engineering experience.
• Proven hands-on experience building production AI systems.

Responsibilities

• Design, build, and operate agentic and LLM-powered systems from concept to production.
• Develop domain-specific agentic skills and tools for scientists.
• Connect agents to data, models, and services per AZ standards.
• Deliver end-to-end LLM/agentic apps with reliable interfaces and tooling.

Skills

Python

TypeScript

LLM tooling

REST APIs

Unix

AWS

Kubernetes

Education

MS in CS/SE/CompBio/DataScience

Tools

GitHub

Git

Docker

Kubernetes

Domino

Job description

AstraZeneca in Cambridge, MA, seeks an experienced engineer to design, build, and operate agentic AI systems used by biologics scientists. You will craft domain-specific agentic tools, connect them to internal data and services, and deploy end-to-end applications with robust authentication, logging, and evaluation.

You will work in an environment that emphasizes FAIR data practices, security compliance, and scalable infrastructure on AZ platforms such as AWS, Kubernetes, and Domino.