Software Engineer
Indexed description
A Day In The Life
- Product Engineering: Product discovery, requirements translation, MVP development, backlog refinement, experimentation frameworks, user‑centric design collaboration, metrics‑driven iteration
- AI & Machine Learning: LLM integration, prompt engineering, embeddings, model evaluation responsible AI practices.
- Performance & Scalability: Query tuning, cost optimization, system scalability, reliability engineering
- Collaboration & Leadership: Stakeholder communication, cross‑functional delivery, agile/Scrum ceremonies, technical mentoring, documentation and knowledge sharing
- Design and implement AI‑enabled Power BI solutions, including integration of generative AI capabilities to enhance data exploration, insights discovery, and user experience.
- Integrate LLM‑powered features (e.g., narrative insights, summaries, explanations, and recommendations) into Power BI reports and dashboards using enterprise‑approved AI services.
- Develop and govern Power BI reports leveraging AI visuals, predictive analytics, anomaly detection, and advanced DAX measures.
- Partner with data science and engineering teams to operationalize machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption.
- Implement natural language query (NLQ) and conversational analytics experiences embedded within Power BI dashboards and apps.
- Ensure performance, scalability, and cost efficiency of AI‑enabled Power BI solutions, including optimization of semantic models, DAX, and query patterns.
- Apply Responsible AI and data governance principles within Power BI solutions, ensuring transparency, explainability, access controls, and compliance.
- Standardize AI‑enabled Power BI design patterns, reusable templates, and best practices across the analytics organization.
- Enable and support self‑service AI analytics in Power BI through documentation, enablement sessions, and guardrails.
- Collaborate with product, analytics, and business teams to identify high‑value AI use cases that can be delivered through Power BI.
- Monitor and measure adoption and impact of AI‑enabled Power BI features, using usage metrics and feedback to drive continuous improvement.
- 5+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering, with a strong focus on enterprise reporting and analytics platforms.
- 2+ years of experience building and integrating AI capabilities into reporting tools, including use of AI visuals, natural language query (NLQ), predictive analytics, anomaly detection, and narrative insights.
- Microsoft Certified: Power BI Data Analyst Associate
- Generative AI or LLM Certifications (e.g., Microsoft, AWS, Google, or industry‑recognized providers)
Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.
Min-Mid $80,000.00 - $105,000.00
Posting Number R102600
Location New Jersey-Edgewater Park
Address 4287 Route 130 S
Zip Code 08010
Pay Rate Salaried
Career Site Category Corporate
Position Category Information Technology
Job Type Full-Time
Remote Type Hybrid
Evergreen No
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