AIPowered Power BI Engineer

Role Description AIPowered Power BI Engineer Torrance CA Onsite Job Summary The AIPowered Power BI Engineer is responsible for leveraging Artificial Intelligence AI Microsoft Copilot Large Language Models LLMs and modern analytics platforms to rapidly design develop and maintain Power BI reports dashboards and analytical solutions This role combines expertise in Power BI data modeling DAX and AIassisted development to transform business requirements into executiveready reporting solutions with significantly reduced development effort and improved business insight generation The engineer acts as both a Power BI developer and an AI workflow orchestrator using AI tools to automate report creation documentation testing visualization design and narrative insight generation Key Responsibilities 1 AIDriven Report Development 30 Use Microsoft Copilot Power BI Copilot ChatGPT Claude and other approved AI tools to generate report prototypes dashboard layouts DAX formulas KPIs and visualization recommendations Translate business requirements into Power BI reports using prompt engineering and AIassisted design techniques Automate dashboard creation report documentation and metadata generation Utilize AI to identify reporting opportunities trends anomalies and predictive insights 2 Power BI Dashboard Engineering 25 Design develop and deploy executive operational and analytical dashboards Create reusable reporting templates and visualization standards Build interactive scorecards KPI dashboards and selfservice BI solutions Deliver modern user experiences focused on business decisionmaking 3 Semantic Modeling Analytics 15 Design and maintain Power BI semantic models Develop advanced DAX calculations measures and KPIs Implement dimensional models using star and snowflake schemas Optimize datasets for performance and scalability 4 Data Integration Automation 10 Connect Power BI to AWS Azure DataHub Snowflake SQL Server Oracle and other enterprise data sources Develop automated data ingestion transformation and reporting pipelines Leverage Python SQL Power Automate and Fabric capabilities to automate reporting processes 5 AI Insights Business Storytelling 10 Utilize AI capabilities to generate narrative insights and executive summaries Develop natural language query NLQ solutions Enable business users to interact with data using conversational analytics Create automated insight generation capabilities within Power BI 6 Governance Security Quality 10 Implement RowLevel Security RLS data governance and lineage tracking Ensure compliance with enterprise reporting standards Validate AIgenerated outputs for accuracy and business relevance Establish AI governance practices for reporting solutions Required Qualifications Education Bachelors degree in Computer Science Information Systems Data Analytics Engineering or equivalent experience Experience 5 years of Power BI development experience 2 years of practical experience leveraging AI technologies in analytics or software development Experience developing enterprisescale dashboards and reporting platforms Experience working with cloud data platforms AWS Azure Microsoft Fabric Technical Skills Power BI Expertise Advanced Power BI development Advanced DAX and Power Query Semantic modeling Report performance optimization Dataflows and Fabric AI Automation Skills Microsoft Copilot Power BI Copilot Prompt Engineering Generative AI LLM technologies AIassisted software development Conversational analytics Agentic AI concepts Data Integration Skills SQL Python Data Warehousing ETLELT development AWS and Azure analytics services API integrations Preferred Qualifications Microsoft Fabric certification Power BI Data Analyst PL300 Azure AI Engineer certification Experience building AI agents and copilots Experience integrating Power BI with enterprise AI platforms Experience creating executive dashboards for large organizations Success Metrics KPIs Reduction in report development effort through AIassisted delivery Dashboard delivery cycle time User adoption and engagement Report quality and accuracy Percentage of reporting assets generated or accelerated through AI automation Executive stakeholder satisfaction Reuse of semantic models and AIgenerated accelerators Other Details Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits And Perks Comprehensive Medical Plan Covering Medical, Dental, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.