In this role, you will:
- Lead the development and deployment of AI-powered platforms and tools that enhance productivity across core business functions such as Finance, HR, IT, Marketing, Procurement, and Supply Chain.
- Identify, evaluate, and implement off-the-shelf AI agents to streamline operations, reduce costs, and accelerate business processes.
- Architect and deploy enterprise-grade LLM applications (RAG, Fine-tuning, Agentic workflows) to automate complex processes.
- Act as the technical consultant for non-technical leads in Finance (forecasting), Legal (contract analysis), HR (talent matching), and Marketing (content personalization).
- Build autonomous AI agents capable of navigating multi-step business tasks with minimal human intervention.
- Collaborate with the Data Analytics team to ensure all AI deployments adhere to strict data privacy, security, and "responsible AI" standards.
- Manage the lifecycle of AI products from prompt engineering and model selection (GPT-4, Claude, Llama 3, etc.) to integration with internal APIs and databases.
Qualifications:
- 5+ years in Data Engineering, Software Engineering, or Data Science, with at least 2+ years of hands-on experience deploying GenAI/LLMs in a production enterprise environment.
- Deep proficiency in Python and frameworks such as LangChain, LlamaIndex, or AutoGen.
- Experience with cloud AI services (Azure OpenAI, AWS Bedrock, or Google Vertex AI) and vector databases (Pinecone, Weaviate, or Milvus).
- Proven ability to translate "business pain" into "technical requirements." You need to speak "Legal" and "Finance" as fluently as you speak "Python."