Senior Automation and AI Engineer responsible for prototyping new Generative AI tools, automation, and integration of AI solutions to enhance productivity and innovation across diverse business areas.
Requirements
- Bachelor’s or master’s degree in computer science, AI, Machine Learning, Data Science or related field.
- Strong understanding of AI concepts, machine learning pipelines, and automation tools.
- Hands-on experience or coursework in Copilot Studio, UiPath, and SharePoint.
- Knowledge with cloud AI platforms: Azure AI Foundry, AWS Bedrock, and/or Google Vertex AI.
- Knowledge with scalable context management solutions including retrieval-augmented generation (RAG), semantic chunking, and memory persistence for long-horizon tasks
- Implement multi-agent workflows for complex tasks such as decision-making, negotiation, and collaborative problem-solving.
- Ability to design, implement, and manage context-aware systems that leverage Model Context Protocol (MCP) to maintain continuity across user interactions, including prompt engineering, memory management, and context window optimization for large language models.
- Familiarity with cloud platforms, API integrations, and data quality validation.
- Excellent problem-solving skills and ability to work in fast-paced, agile environments.
- Strong communication skills for cross-team collaboration.
- Experience level 5+ years