Organon

Senior AI Engineer

Organon

full-time

Posted on:

Location Type: Hybrid

Location: Lisbon • Portugal

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Job Level

Senior

Tech Stack

AWSAzureCloudCyber SecurityJavaPython

About the role

  • 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.
  • 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.
  • 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.

Requirements

  • 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.
  • 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.
  • Experience with RAG architectures, vector databases, and knowledge-grounding techniques (Preferred).
  • Exposure to machine learning concepts and model lifecycle practices (Preferred).
  • Experience building reusable AI components or platforms for multi-team adoption (Preferred).
  • Experience collaborating with infrastructure, security, or compliance teams to ensure adherence to organizational AI standards (Preferred).
Benefits
  • Flexible Work Arrangements: Flex Time, Hybrid
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaGenerative AIagent frameworksLangChainLlamaIndexSemantic KernelLLMsRAG architecturesmachine learning
Soft Skills
problem-solvingcollaborationcross-functional teamwork
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in Data Science