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2 results for Network Engineer Iii Senior in Columbus, OH
- Columbus, OH
- onsite
- Temporary / Contract
- 56 - 60 USD / Hourly
- <p>We are seeking a Cloud / AI Engineer to be responsible for designing, building, and deploying production‑ready AI agents that support enterprise workflows. This is a hands‑on, execution‑focused role that works with modern agent platforms such as Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI to deliver secure, reliable, and well‑governed AI solutions across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design, build, and deploy AI agents using Microsoft Copilot Studio, AWS Agent Core services, and Google Vertex AI</p><p>· Develop agent workflows including intent handling, tool calling, memory management, and multi‑step task execution</p><p>· Create and optimize prompts, system instructions, and grounding strategies to ensure consistent and predictable agent behavior</p><p>· Implement Retrieval‑Augmented Generation (RAG) architectures using enterprise data sources, APIs, and document repositories</p><p>· Integrate AI agents with enterprise systems and APIs such as ServiceNow, internal platforms, and cloud services</p><p>· Deploy and manage agents across development, test, and production environments</p><p>· Implement security controls including identity management, authorization, and data access boundaries for AI agents</p><p>· Monitor agent performance through logging, usage analysis, and quality metrics to improve reliability and effectiveness</p><p>· Troubleshoot agent behavior, tool failures, and system integration issues</p><p>· Collaborate with platform, security, and application teams to deliver approved AI agent use cases</p>
- 2026-04-15T00:00:00Z
- Columbus, OH
- onsite
- Temporary / Contract
- 53 - 58 USD / Hourly
- <p><strong>Data Scientist III (Senior)</strong></p><p><strong>Location: </strong>Hybrid Columbus, OH </p><p><strong>Service Type:</strong> 13 Week Contract to Hire </p><p><strong>Pay: </strong>Available on W2 Basis </p><p><strong>Job Summary</strong></p><p>A leading financial services organization is seeking a skilled and data‑driven <strong>Senior Data Scientist</strong> to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.</p><p>The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.</p><p>This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.</p><p><strong>Team Overview</strong></p><p>This position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as <strong>R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target</strong>. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.</p><p>The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction.</p><p><strong> Key Responsibilities</strong></p><ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
- 2026-04-28T00:00:00Z