This position is for an AI Developer in the Product Engineering R&D value stream, focused on designing and developing scalable AI-enabled solutions for global business users. The candidate will build Generative AI applications, Agentic AI workflows, AI assistants, automation agents, and intelligent enterprise solutions aligned to business requirements.
Key responsibilities include developing AI/ML pipelines, RAG-based solutions, vector database integrations, LLM-powered applications, autonomous agents, orchestration workflows, APIs, and enterprise system integrations. The candidate will create and manage capabilities such as chatbots, knowledge assistants, document summarization, semantic search, content generation, code assistance, task planning, tool usage, multi-step reasoning, autonomous execution, and human-in-the-loop workflows.
The role requires collaboration with Data Engineering, Cloud, DevOps, Cybersecurity, Enterprise Architecture, IT, and business stakeholders to translate business challenges into practical AI solutions. The candidate will also support model evaluation, prompt engineering, performance tuning, responsible AI practices, deployment validation, documentation, automation opportunities, and continuous innovation in Generative AI, Agentic AI, Machine Learning, and intelligent automation.
Key responsibilities include:
- Design, develop, and maintain AI/ML models and solutions to address business needs.
- Collaborate with stakeholders to translate requirements into AI-driven applications and data pipelines.
- Manage AI infrastructure, including model training, deployment, and runtime environments.
- Monitor model performance, system health, and resource utilization to ensure reliability and SLA compliance.
- Troubleshoot AI systems, perform root cause analysis, and drive continuous improvements.
- Support end-to-end AI lifecycle across Dev, Test, UAT, and Production with CI/CD and versioning practices.
- Enforce security, access control, data privacy, and compliance standards for AI systems and datasets.
