Technical Engineer AI and Automation
AkzoNobel
This job at a glance
- Who can apply
- Freshers and up to 6 years · Bachelor's degree
- Must know
- Stakeholder managementPower BIData visualizationSQLREST APIsTroubleshooting
- Nice to have
- Azure
- Work
- On-site in Pune Division
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management33%SQL23%Data visualization8%Power BI4%of 99 similar fresher jobs posted in India this week
- Listed
- 4 Nov 2026 · still open
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About the Role
The Power Platform Engineer is responsible for designing, developing, and implementing business applications, workflow automations, and data-driven solutions using Microsoft Power Platform technologies. This role supports digital transformation by streamlining processes, improving efficiency, enhancing reporting, and enabling scalable low-code/no-code solutions. The position involves collaboration with business stakeholders, IT teams, and automation/AI teams to identify opportunities, develop solutions, integrate enterprise systems, and ensure secure, reliable applications. The role also contributes to governance, best practices, and continuous improvement within the Power Platform environment.
Key Responsibilities
- Design, develop, test, deploy, and maintain business applications using Microsoft Power Apps (Canvas Apps and Model-Driven Apps).
- Develop and optimize automated workflows and business process solutions using Power Automate.
- Create interactive dashboards, reports, and data visualizations using Power BI.
- Integrate Power Platform solutions with Microsoft 365, SharePoint, Teams, Dynamics 365, Azure services, SQL databases, and third-party applications via APIs and connectors.
- Collaborate with business stakeholders to gather requirements, analyze business processes, and translate needs into technical solutions.
- Customize and configure Dataverse environments, entities, forms, views, security roles, and business rules.
- Ensure applications and workflows adhere to security, governance, compliance, and data protection standards.
- Troubleshoot, debug, and resolve issues related to applications, workflows, integrations, and reports.
- Participate in solution architecture discussions and recommend best practices for Power Platform implementation.
- Support deployment management, version control, environment strategy, and application lifecycle management (ALM).
- Develop technical documentation, user guides, and support materials.
- Monitor solution performance and implement enhancements for scalability, reliability, and user experience.
- Stay updated with new Microsoft Power Platform features, AI capabilities, Copilot innovations, and industry best practices.
- Provide end-user training, technical support, and knowledge transfer.
- Work collaboratively with IT, data, security, and business teams to drive digital transformation and continuous process improvement.
Requirements & Tech Stack
- Strong technical expertise in Power Apps (Canvas Apps and Model-Driven Apps), Power Automate, Power BI, Microsoft Dataverse.
- Experience integrating Power Platform solutions with SharePoint Online, Microsoft Teams, Dynamics 365, SQL Server, Azure services, REST APIs, and third-party applications.
- Good understanding of Power Platform architecture and governance, environment management and security models, data modeling and relational databases, API integrations and connectors, and application lifecycle management (ALM).
- Knowledge of JavaScript, HTML, CSS, or TypeScript for customization.
- Proficiency with Power Fx expressions, DAX and Power Query, JSON, and workflow logic.
- Familiarity with Azure DevOps or CI/CD pipelines.
- Experience with AI Builder, Robotic Process Automation (RPA), or Azure AI services is an advantage.
Qualifications
- Bachelor or Master degree in Computer Science, Information Technology, Artificial Intelligence, Software Engineering, Data Science, or a related discipline.
- Professional experience ranges from 0–6+ years.
- Capability expectations include progression from supporting development activities and issue resolution to independently leading complex AI engineering initiatives, mentoring engineers, contributing to governance and safety standards, and driving enterprise AI transformation outcomes.