Global AI Solution Engineer

ABB

. Clarify business needs, expected outcomes, success measures, AI-specific data and context requirements, risks and ownership with Data Analysts and business stakeholders .

Posted 10/27/2026full-timeBangalore • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI solutions using Python and SQL, with a strong understanding of generative AI application patterns and enterprise AI development platforms like Azure and Snowflake. Proven ability to collaborate with multidisciplinary teams and effectively communicate technical concepts to stakeholders.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyGenerative AI Application PatternsAzure AI DevelopmentSnowflake AI/ML Capabilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solutions DevelopmentMachine Learning ConceptsData PreparationAPI IntegrationTesting and Solution DevelopmentPredictive ModelingDocumentation of AI SolutionsData Quality ConceptsVersion ControlAgile Methodologies

Soft Skills

Stakeholder CommunicationCollaborationProblem AnalysisClarification of Technical AspectsAttention to Detail

Tools & Technologies

Azure AI FoundryAzure Machine LearningSnowflake CortexSnowflake IntelligenceGitHubAzure DevOps

Certifications & Qualifications

Master's Degree in Technical Discipline

Industry Keywords

AIMLAdvanced AnalyticsBusiness IntelligenceResponsible AIInformation SecurityIT ComplianceData SciencePredictive ModelsMultidisciplinary Delivery Team

Tech Stack

Tools & technologies

AzurePythonSnowflakeSQL

About the role

Key responsibilities & impact

Clarify business needs, expected outcomes, success measures, AI-specific data and context requirements, risks and ownership with Data Analysts and business stakeholders
Assess whether AI, analytics, automation or a conventional solution best addresses business needs
Recommend solutions based on approved patterns, standards, reference architectures and platform guidance
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 prompts, agent instructions, evaluation datasets, notebooks, application logic, automated workflows, tests and deployment assets
Use SAP and Salesforce enterprise data to develop predictive models, GenAI applications and AI agents
Apply Snowflake AI/ML capabilities, including Snowpark ML, Cortex AI, Cortex Search and AI Functions
Evaluate and test solutions for grounding, answer quality, model or agent behaviour, business value, safety, cost and operational reliability
Apply Responsible AI, information security, privacy, access-control and IT compliance requirements
Contribute to CI/CD, production readiness, handover and monitoring design
Support incident and problem analysis related to AI solutions
Document solution logic, assumptions, limitations, test results and operational requirements
Collaborate in a multidisciplinary delivery team with Data Analysts, Snowflake Developers, Data Engineers, Power BI/Fabric Developers and platform specialists

Requirements

What you’ll need

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 written English (minimum C1 level)
Hands-on proficiency in Python and SQL for data preparation, API integration, testing and solution development
Strong practical understanding of generative AI application patterns, including RAG, embeddings, vector search, prompt/context engineering and evaluation
Practical experience with at least one enterprise AI development platform, preferably Azure AI Foundry, Azure Machine Learning, Snowflake Cortex or Snowflake Intelligence
General understanding of classical machine learning concepts
Working experience with version control and testing, preferably using GitHub or Azure DevOps
Experience documenting AI solutions and understanding data quality concepts, with attention to data accuracy and consistency
Experience working in an Agile or similar delivery setup
Ability to take part in stakeholder discussions and clarify technical, data and AI-specific aspects of documented business requirements
Ability to explain technical options, limitations and trade-offs, and to work effectively in a multidisciplinary delivery team
Demonstrated ability to collaborate with analysts and customers and convert documented requirements into practical AI solution components

Benefits

Comp & perks

Comprehensive range of integrated automation, electrical and digital systems and services (company offering, not an employee benefit)
Opportunity to be empowered to lead
Support to grow
Opportunity to contribute to impactful industrial technology solutions