AI Sr. Engineer — Hybrid

Job Description

About Organon

Organon is a Women’s Health Company that believes in a better and healthier every day for every woman!  We are a passionate, global community of thousands dedicated to redefining the future of women’s health.  Our mission is to deliver impactful medicines and solutions for a healthier every day. But what really makes it work at Organon is our people.

We’re looking for real, passionate team players, curious innovators, forward thinkers, empowered by the idea of shaping their career, and ready to bring their fire to embrace change and the opportunities it brings for progress.

At Organon, you’ll get to enjoy the best of both worlds: the open, agile, collaborative culture of a start-up, and operating at the scale of a fortune 500 company with an international footprint that serves people in more than 140 markets.  

It’s going to be an exciting future—come be a part of it!

Job Summary

We are seeking an AI Sr. Engineer with strong, hands‑on expertise in Generative AI and agent‑based systems to design and build intelligent, scalable, enterprise AI capabilities. You will work closely with business, data, and technology teams to translate ideas into high‑value, production‑ready AI solutions. This role requires both technical depth and an enterprise mindset—balancing innovation with security, governance, and reusability.

Key Responsibilities

Build & Deliver AI Solutions

• Design, build, and deploy Generative AI and agent‑based systems for enterprise use cases.

• Develop intelligent agents capable of reasoning, planning, tool use, and autonomous execution.

• Create AI‑powered copilots, conversational interfaces, and decision‑support solutions using LLMs.

Enterprise‑Grade Engineering

• Apply an enterprise mindset to ensure AI solutions are scalable, secure, governable, and reusable.

• Integrate AI agents with enterprise platforms, APIs, and data sources to enable end‑to‑end workflows.

• Monitor, optimize, and support AI solutions running in production environments.

Collaboration & Innovation

• Partner with business, data, and engineering teams to identify and deliver high‑value AI opportunities.

• Stay current with advancements in GenAI, agentic frameworks, and related technologies—and apply them pragmatically to real‑world needs.

• Document architectures, design patterns, and reusable components to accelerate adoption across teams.

Required Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Data Science, OR equivalent practical skills and expertise demonstrated through work experience.

• At least five years hands on experience in software engineering roles.

Technical Skills

• Strong proficiency in Python; familiarity with Java or similar languages a plus.

• Experience with GenAI and agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.

• Practical experience working with LLMs (OpenAI, Azure OpenAI, Llama, Claude, etc.).

• Understanding of security, scalability, cost, and compliance considerations for AI systems.

• Foundational understanding of cybersecurity principles (secure coding, data protection, access control, least privilege).

• Awareness of common AI risks such as data leakage, model misuse, insecure APIs, and supply‑chain vulnerabilities, with the ability to implement basic mitigations.

• Working knowledge of cloud environments such as Azure or AWS, particularly their AI/GenAI services.

• Strong problem‑solving skills and ability to collaborate within cross‑functional teams.

Preferred Qualifications