# Global AI Solution Engineer at ABB

ABB is hiring a Global AI Solution Engineer in Bengaluru, India. Level rates it Works on AI ●●●○; you can [apply on ABB](https://jobsbylevel.com/go/aa903420-5dfb-4657-ace6-5e1434bf2d90?utm_medium=ai-agent).

AI Level 3, AI centrality 70 out of 100. Bangalore, Karnataka, India.

## Details

- Company: [ABB](https://jobsbylevel.com/companies/abb)
- AI level: AI Level 3 (score 70 out of 100)
- Location: Bangalore, Karnataka, India
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/aa903420-5dfb-4657-ace6-5e1434bf2d90?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=global-ai-solution-engineer-at-abb-1c3736

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/global-ai-solution-engineer-at-abb-1c3736

## Description

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. This Position reports to: Senior Operation Manager for D&A Mission of the Role Are you passionate about turning business needs into practical, AI-enabled solutions and excited to be part of a global company transforming industry with cutting-edge technology? ABB is looking for an AI Solution Engineer to join our Automation IS team. In this role, you will bridge the gap between business needs and practical AI-enabled solutions. You will assess whether AI is the right approach and recommend an implementation approach based on the standards, reference architectures and technology guidance defined by the Advanced Analytics Architect and relevant platform architects. You will stay hands-on throughout delivery, working with Data Analysts, Snowflake Developers, Power BI/Fabric Developers, Data Engineers and other specialists to build, validate and hand over working solutions. You will also contribute to project set-up, incremental delivery, solution quality, production readiness and reuse across Automation. Work model: #LI Hybrid Area: This role contributes to AU IS in AU. Responsibilities Business understanding and solution fit Work with Data Analysts and business stakeholders to clarify:business needs and expected outcomessuccess measuresAI-specific data and context requirementsrisks and ownership Assess whether AI, analytics, automation or a conventional solution best addresses the identified business need. Recommend solutions based on approved patterns and guidance from the Advanced Analytics Architect and the Snowflake, Azure and Fabric platform architects. Build and development Develop and validate AI components, proofs of concept, prototypes and minimum viable solutions using Python, SQL and approved technologies. Build Azure- or Snowflake-based AI applications and services, including orchestration, retrieval, RAG, agent logic, APIs, evaluation and integration components. Create implementation assets, including prompts, agent instructions, evaluation datasets, notebooks, application logic, automated workflows, tests and deployment assets. Use enterprise data from SAP and Salesforce to develop AI/ML solutions that address business needs and deliver measurable business value. These include predictive models, GenAI applications and AI agents. Apply Snowflake AI/ML capabilities to build and validate machine learning and generative AI solutions using enterprise data. These include Snowpark ML, Cortex AI, Cortex Search and AI Functions. Quality, compliance and operations Evaluate and test solutions for grounding, answer quality, model or agent behaviour, business value, safety, cost and operational reliability. Apply the defined Responsible AI, information security, privacy, access-control and IT compliance requirements within the assigned solution scope. Work with architecture, platform, security and operations specialists where required. Contribute to CI/CD, production readiness, handover and monitoring design. Support incident and problem analysis related to AI solutions within the assigned scope. Document AI solutions, including their logic, assumptions, limitations, test results and operational requirements. Collaboration Work as part of a multidisciplinary delivery team with Data Analysts, Snowflake Developers, Data Engineers, Power BI/Fabric Developers and platform specialists. Requirements (Mandatory) Experience and education At least 2 years of relevant experience delivering AI, ML or advanced analytics solutions, including at least one solution taken from requirements through implementation. 4–6 years of professional experience in Data Science, AI/ML Engineering, BI analytics or a similar data-focused role. Master's degree in a technical discipline or equivalent practical experience. Fluent spoken and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/global-ai-solution-engineer-at-abb-1c3736

Source: https://jobsbylevel.com/jobs/global-ai-solution-engineer-at-abb-1c3736

## Cite this page

Level. https://jobsbylevel.com/jobs/global-ai-solution-engineer-at-abb-1c3736.

Get job alerts: https://jobsbylevel.com/newsletter