Senior Data & AI Leader at EXL defining and executing enterprise - wide data and AI strategy. Overseeing initiatives while fostering a high - performance culture across data, analytics, and AI teams.
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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