Nimble Gravity

• Gather, analyze, and document business requirements across multiple stakeholders and teams. • Translate business needs into clear functional specifications, user stories, and process flows. • Work closely with product managers, engineers, and data teams to ensure accurate implementation of requirements. • Analyze data to identify trends, opportunities, and areas for improvement. • Support decision-making through reporting, dashboards, and data-driven insights. • Map and optimize business processes to improve efficiency and effectiveness. • Facilitate workshops, stakeholder meetings, and requirement-gathering sessions. • Ensure alignment between business objectives and technical solutions. • Continuously refine requirements and solutions based on feedback and evolving needs.

Role Description Nimble Gravity is looking for a Copilot & Power Platform Architect to lead the design and delivery of enterprise automation and AI-enabled solutions for our clients. This is a client-facing consulting role where you’ll own the technical architecture end-to-end: from discovery and stakeholder workshops through build, governance, and deployment. You’ll architect Copilot Studio agents and Power Platform solutions that integrate seamlessly into Microsoft 365 environments—while ensuring the governance, security, and ALM practices needed to scale. This role is approximately 80% client delivery, with opportunities to shape internal standards (10%) and support pre-sales solutioning (10%). You’ll collaborate with data engineers, AI specialists, and delivery leads who share a bias toward shipping high-quality work that creates real value. What You’ll Do - Architecture & Delivery - Design and deliver end-to-end Power Platform solutions across Power Apps (Canvas + Model-driven), Power Automate, Dataverse, and Power Pages, selecting the right tools based on business goals and platform constraints. - Architect and deploy Copilot Studio agents embedded into real workflows, leveraging patterns such as RAG, prompt orchestration, grounding, and tool calling when appropriate. - Define scalable integration patterns across Microsoft 365 (Teams, SharePoint, Outlook), Azure services, and third-party systems via APIs, custom connectors, and on-premises gateways. - Establish strong ALM practices in client environments: solution packaging, managed solutions, environment strategy, deployment pipelines, and release controls. - Governance & Security - Build governance frameworks that scale: environment segmentation, tenant strategy, DLP policies, RBAC, capacity planning, and lifecycle management. - Define guardrails for responsible AI: data boundaries, access controls, privacy/compliance considerations, auditability, and monitoring. - Design identity and security architecture with Entra ID, ensuring solutions meet enterprise security requirements. - Client Leadership - Lead discovery workshops to assess current state, capture requirements, and define target architecture. - Produce clear client-ready deliverables: technical design docs, architecture diagrams, and implementation roadmaps. - Communicate tradeoffs and recommendations to both technical teams and executive sponsors, tailoring your approach to the audience. - Support pre-sales as needed: scoping, estimation, solution design, and technical demos. - Enablement - Contribute to Nimble Gravity’s internal standards: reference architectures, templates, governance playbooks, and reusable patterns. - Coach client makers and pro developers on best practices, including Center of Excellence (CoE) patterns and enterprise operating models. Qualifications - 5+ years architecting and delivering Microsoft Power Platform solutions in enterprise environments (Power Apps, Power Automate, Dataverse). - Hands-on experience with Copilot Studio and/or Microsoft 365 Copilot, including custom copilots/agents integrated into business processes. - Strong command of Power Platform governance: environment strategy, DLP policies, ALM, and tenant administration. - Proven experience designing integrations across Microsoft 365, Azure services, and external systems using connectors/APIs/gateways. - Experience leading client-facing consulting engagements: workshops, technical documentation, and stakeholder presentations. - Deep understanding of identity and access management with Entra ID (Azure AD). - Working knowledge of AI solution patterns relevant to Copilot implementations: RAG, prompt design, grounding, evaluation. - Excellent communication—able to explain technical concepts to non-technical audiences without losing precision. - Ability to travel occasionally (~10–20%). Requirements - Microsoft certifications: PL-600, PL-200, PL-400, MS-600, and/or AI-related certifications. - Experience with Azure AI services (Azure OpenAI Service, Azure AI Foundry, Azure AI Search, Cognitive Services). - Exposure to data platforms like Microsoft Fabric, Databricks, Synapse. - Familiarity with Power BI development and integration with Power Platform solutions. - Consulting background at a Microsoft Partner/SI/professional services firm. - Experience implementing CoE toolkits and enterprise-scale governance programs. - Exposure to compliance frameworks (SOC2, HIPAA, FedRAMP). - Pro-code skills (C#, TypeScript, Python) to extend solutions via custom components, Azure Functions, or integrations. Company Description Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization. Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

• Define product vision, strategy, and roadmap aligned with business goals and customer needs. • Own the end-to-end product lifecycle, from discovery and ideation to delivery, launch, and iteration. • Collaborate closely with engineering, design, data, and business teams to build high-quality, scalable products. • Gather and prioritize product requirements through user research, stakeholder input, and data insights. • Translate business needs into clear product requirements, user stories, and acceptance criteria. • Drive product execution by working closely with engineering teams, ensuring timely and high-quality delivery. • Analyze product performance using metrics and user feedback to continuously improve the product. • Communicate product updates, progress, and strategy to stakeholders across the organization. • Stay informed on industry trends, competitive landscape, and emerging technologies to inform product direction.

• Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures. • Develop intelligent systems that can process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights. • Work with modern GenAI and AI engineering tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services. • Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data platforms. • Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques. • Collaborate closely with engineering, product, data, and business teams to define the right technical approach and deliver high-impact AI solutions. • Stay plugged into the fast-moving GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications.

• Assist in building and maintaining data pipelines for ingestion, transformation, and storage • Support data cleaning, validation, and quality assurance processes • Contribute to data modeling and preparation for analytics and AI use cases • Partner with project teams on key client engagements, supporting data engineering workstreams and helping coordinate deliverables, timelines, and stakeholder communication • Work with modern cloud platforms and data tools

• Be the senior delivery presence clients trust. • Serve as the escalation point when it matters. • Coach and develop delivery talent. • Partner on growth and expansion. • Drive consistency across the portfolio. • Own delivery health and operational visibility.

• Design and implement AI applications leveraging Azure services (AKS, Azure Container Apps, Blob Storage). • Develop systems using C#, Python, React, and modern frameworks like Entity Framework Core and FastAPI. • Create applications that are resilient, secure, and optimized for high performance. • Work closely with cross-functional teams, including data scientists and engineers. • Lead the deployment and optimization of applications in Azure environments. • Explore new tools, frameworks, and methodologies in AI and software engineering.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud-based data architecture solutions. • Design data models, data flow diagrams, and schema structures that optimize data storage, retrieval, and processing on cloud platforms. • Design and develop data integration strategies to consolidate data from diverse sources into a unified and coherent format. • Evaluate and select appropriate cloud services and tools for various data-related tasks. • Work closely with data engineers, data scientists, and other stakeholders to understand their needs and provide architectural guidance. • Responsible for overseeing the successful execution of data projects and ensuring the outcomes meet business objectives and technical requirements. • Lead and mentor junior team members, promoting knowledge sharing and continuous learning.

• Own execution of an established strategic partnership, including joint business planning and priorities • Translate partnership strategy into clear, actionable initiatives that drive pipeline and revenue • Identify and unlock new opportunities within the existing partner relationship • Build and manage a partner-driven pipeline aligned to growth targets • Lead co-sell motions with the partner, including opportunity identification, qualification, and deal support • Work closely with the growth team to progress and close partner-influenced opportunities • Co-develop and execute joint go-to-market plans, including campaigns, events, and solution positioning • Enable internal teams on partner capabilities, offerings, and sales plays • Ensure Nimble Gravity is effectively positioned within the partner ecosystem • Own day-to-day and executive-level relationships with partner stakeholders • Establish regular operating cadence, including pipeline reviews and performance tracking • Act as the escalation point for partnership-related issues • Partner with delivery and solutions teams to align capabilities with partner opportunities • Provide feedback from the partnership to inform service development and innovation

• Model Development: Design, train, and refine machine learning models that tackle real business problems, ensuring they scale effectively in production environments. • Data Pipeline Engineering: Build and maintain robust data ingestion, preprocessing, and transformation pipelines for diverse data sources (structured and unstructured). • AI Workflow Integration: Contribute to end-to-end ML workflows—from serving and monitoring models to evaluating and iterating on their performance. • Advanced AI Techniques: Apply state-of-the-art approaches, including transformers, LLMs, RAG, embeddings, vector databases, predictive modeling, and reinforcement learning, to push the boundaries of what’s possible. • Model Monitoring & Optimization: Support ongoing evaluation and tuning of models to improve accuracy, efficiency, and reliability in production. • MLOps: Help establish best practices for CI/CD, testing, and automated deployment of AI models. • Agile Collaboration: Partner effectively with cross-functional teams in an agile setting, contributing to sprint planning, reviews, and collaborative problem-solving.