Evaluate models and methodology: Review AI use cases, data suitability, modelling assumptions, validation methods and performance measures. Conduct reproducible tests of accuracy, reliability, robustness, fairness and explainability, with findings documented for each assigned assessment.
Drive AI innovation in the area of Urban Solutions and Sustainability, particularly in the Sustainable HVACs domain, focusing on AI-enabled features for enhanced user comfort, wellbeing, and indoor air quality.
Partner with DAE Data Science and Product Management teams to productionise and host Data Science and AI products on PE-managed on-premises and cloud AI platforms.
Partner with DAE Data Science and Product Management teams to productionise and host Data Science and AI products on PE-managed on-premises and cloud AI platforms.
Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
AI opportunity discovery and prototyping: Partner with business teams to define and prioritise AI opportunities. Coordinate prototypes and proofs of value to assess business value, user needs, data readiness and technical feasibility.
Take ownership of small to medium-sized projects from understanding the problem through delivery, launch, and follow-up. Keep priorities clear and help the team move forward.
Cybersecurity Assurance: Develop and execute an annual programme to independently test cybersecurity controls across the group's regional operations, assess high-risk technology designs, review outsourced security monitoring, and track findings through to resolution or formal risk acceptance.
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
Design, develop and deploy Agentic AI applications and multi-agent workflows using Amazon Bedrock and frameworks such as Strands Agents, LangChain or LangGraph.
Postgraduate / Tertiary qualification in any of the following: Computer Science, Computer Engineering, Data Science, Data Analytics, Machine Learning, or any relevant areas
Building and enhancing AI-enabled applications and agent workflows, including reusable MCP integrations, APIs, tools, and application features that connect AI services, enterprise systems, and knowledge sources.
Develop and maintain automation scripts, custom tools, and system integrations using Python, APIs, and Infrastructure-as-Code to streamline operational workflows.