Job Description

Artificial Intelligence Lead Engineer — Hybrid (Lisbon)

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 a Lead AI Engineer with strong, hands‑on expertise in Generative AI and agent‑based systems to design and build intelligent, scalable, enterprise AI capabilities. You will manage a team of engineers while 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

Leadership & Team Management

• Lead and grow a team of AI Engineers, providing technical direction, mentorship, and career development.

• Drive engineering standards, best practices, and reusable patterns for GenAI and agent-based development.

• Prioritize team workstreams based on enterprise value, complexity, and strategic importance.

• Conduct performance management and mentoring to expand the team’s effectiveness.

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 related field.

• At least 7 years experience leading engineering teams or technical programs.

• At least two years leading an engineering team

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

• Experience with RAG architectures, vector databases, and knowledge‑grounding techniques.

• Exposure to machine learning concepts and model lifecycle practices.

• Experience building reusable AI components or platforms for multi‑team adoption.

• Familiarity with enterprise integration patterns and API‑driven architectures.

• Experience collaborating with infrastructure, security, or compliance teams to ensure adherence to organizational AI standards.

#LI-Hybrid

Secondary Job Description

Who We Are:

Organon delivers ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women’s Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions. Our Vision is clear: A better and healthier every day for every woman.

As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants.

Search Firm Representatives Please Read Carefully
Organon LLC, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Annualized Salary Range

Annualized Salary Range (Global)

Annualized Salary Range (Canada)

Please Note: Pay ranges are specific to local market and therefore vary from country to country.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements: Organon employees must be able to satisfy all applicable travel and credentialing requirements, including associated vaccination prerequisites

10%

Flexible Work Arrangements:

Flex Time, Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Number of Openings:

1

Requisition ID:R538662