Design and implement advanced AI solutions using LLMs, RAG, and agent-based architectures to automate processes and transform unstructured data. Collaborate with cross-functional teams to build scalable AI applications on cloud platforms like Azure and AWS.
Nimble Gravity
14 Remote Job Openings at Nimble Gravity
Director, Strategic Partnerships & Alliances
Nimble Gravity
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Full Time
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10 days ago
Nimble Gravity
Own and scale the partner ecosystem end-to-end across Microsoft, Databricks, and Anthropic to drive revenue. Focus on operationalizing co-sell motions, capturing partner funding, and generating a repeatable pipeline within the BFSI sector.
Own the end-to-end technology strategy for data platforms, specifically focusing on Databricks and Microsoft Fabric. Drive growth by leading technical pre-sales, enabling delivery teams through reference architectures, and managing strategic vendor partnerships.
The Marketing Coordinator executes day-to-day marketing initiatives, including campaigns, content creation, and event logistics. They serve as the operational hub to ensure projects are aligned with business priorities and delivered on schedule.
Design and maintain cloud-based integrations, automation workflows, and AI-enabled platforms using AWS services. Responsible for configuring AI agents and managing infrastructure as code to streamline engineering and operational processes.
Build and scale robust data solutions and high-performance pipelines for extraction, loading, and transformation. Collaborate with stakeholders to transform business use cases into production-ready services while ensuring data quality through rigorous testing.
Lead a portfolio of complex data and AI engagements, ensuring delivery health, quality, and client satisfaction. Act as a player-coach by managing anchor accounts and developing a team of Project and Client Engagement Managers.
Lead AI enablement programs to help financial institutions adopt AI tools and workflows through workshops and training. Partner with technical teams to translate AI capabilities into practical business outcomes and track adoption metrics.
The Client Engagement Manager owns the client relationship across a portfolio, acting as the link between Growth, Delivery, and Solutions. They are responsible for driving account expansion, managing executive relationships, and ensuring delivery health and business impact.
Design and implement cloud-based data architecture solutions to optimize storage, retrieval, and processing for clients. Collaborate with cross-functional teams to translate business requirements into effective data strategies and mentor junior team members.
Design and implement scalable AI-driven applications on the Azure platform using a full-stack approach. Collaborate with cross-functional teams to integrate AI frameworks and optimize cloud-native deployments for performance and cost.
Design, build, and deploy advanced AI solutions using LLMs, RAG, and agentic architectures to automate workflows and process unstructured data. Collaborate with cross-functional teams to deliver production-ready AI applications across various cloud platforms.
The role involves gathering and documenting business requirements to translate them into functional specifications and user stories. The analyst will collaborate with cross-functional teams to optimize business processes and provide data-driven insights for decision-making.
Define the product vision, strategy, and roadmap while owning the end-to-end product lifecycle from discovery to delivery. Collaborate with cross-functional teams to build scalable products and analyze performance metrics for continuous improvement.