Organon

Lead Engineer, AI

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

  • 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.
  • 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.

Requirements

  • 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
  • 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.
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 KernelLLMsOpenAIAzure OpenAI
Soft Skills
leadershipmentorshipperformance managementproblem-solvingcollaborationteamworkcommunicationstrategic thinkingcareer developmentorganizational skills