Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specializing in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.
With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.
By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.
One of our client is looking for a AI Engineer @ Plano TX (Onsite) Please find below the details of the position.
Job Role: AI Scientist / Engineer (Data Science & Analytics)
Location: Plano, Texas, United States -Onsite
Contract – Only on W2
Position Summary:
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RequirementsEssential Functions:
Key Responsibilities
• Design and develop enterprise AI usage dashboards and executive scorecards across multiple AI platforms.
• Build scalable data pipelines to ingest, integrate, and transform AI usage, operational, and financial data from diverse enterprise systems.
• Develop KPIs and metrics for AI adoption, utilization, token consumption, credits, costs, ROI, and business value realization.
• Create executive-level visualizations and reports that support strategic decision-making and AI governance.
• Apply data science and statistical techniques to identify adoption trends, optimization opportunities, forecasting, and value realization insights.
• Collaborate with AI platform teams, IT, Security, Finance, Procurement, and business stakeholders to establish trusted enterprise AI metrics.
• Ensure data quality, governance, and consistency across enterprise AI reporting.
• Support AI portfolio management through cost optimization, utilization analysis, and performance monitoring.
• Recommend improvements to AI measurement frameworks, reporting standards, and executive Dashboards
Minimum qualification:
• Bachelor's degree in Computer Science, Data Science, Analytics, Engineering, or a related field (Master's preferred).
• 5+ years of experience in Data Science, Data Analytics, Data Engineering, or AI Engineering.
• Experience building enterprise-scale dashboards using Power BI, Tableau, or similar visualization platforms.
• Strong SQL and Python programming skills.
• Experience integrating data from APIs, cloud platforms, data warehouses, and enterprise systems.
• Knowledge of AI/LLM platforms and associated usage metrics (e.g., prompts, tokens, credits, model utilization, API consumption, costs).
• Experience designing executive dashboards and KPI reporting.
• Strong understanding of data governance, data quality, and analytics best practices.
• Excellent communication skills with the ability to translate complex analytics into executive-level insights.
Preferred Qualifications
• Experience measuring AI adoption, AI ROI, and value realization within large enterprises.
• Knowledge of Azure AI, Microsoft Copilot, Azure OpenAI, OpenAI APIs, AWS AI services, Google Vertex AI, or similar enterprise AI platforms.
• Experience with cloud data platforms such as Azure Synapse, Microsoft Fabric, Databricks, Snowflake, or BigQuery.
• Familiarity with FinOps, AI governance, and enterprise technology portfolio management.
• Experience supporting executive leadership with strategic analytics and performance reporting.
Position Type/Expected Hours of Work:
· Contract
· Plano TX
· Standard business hours
· Limited travel expected
If you find yourself suitable for this position, kindly send your updated resume and expected hourly rate to elangovan dot t at sensiple dot com
Regards
Elangovan T | Sensiple Inc.,
elangovan dot t at sensiple dot com
555 US Highway 1 S, Ste 330 Iselin, NJ 08830
Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.
