Design and build an agentic AI platform to manage renewable energy certificates and automate related workflows. Collaborate across teams to integrate the platform, optimize user onboarding, and iterate based on feedback and metrics.
About the role
- AI Engineer with strong expertise in Generative AI and agent‑based systems at Organon. Designing and building scalable, intelligent AI capabilities for enterprise use cases.
Responsibilities
- 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.
- 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 two years hands‑on experience in software engineering roles.
- 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.).
- 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.
- Problem‑solving skills and ability to collaborate within cross‑functional teams.
Benefits
- Flexible Work Arrangements: Flex Time, Hybrid
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