Solutions Engineer

• Lead technical discovery sessions with customers and stakeholders to understand business goals, user needs, data requirements, security considerations, operational expectations, and budget parameters
• Design, architect, and build production-grade AI applications, copilots, agents, and appropriately scoped multi-agent solutions
• Recommend and implement low-code, pro-code, or hybrid approaches across Microsoft AI, Azure, Fabric, Copilot Studio, Power Platform, and Microsoft 365 technologies
• Build Microsoft 365 agents and extensibility solutions using Agent Builder, Copilot Studio, Microsoft 365 Agents SDK and Agents Toolkit, Microsoft Graph, SharePoint, connectors, plugins, and supported Copilot extensibility patterns
• Develop custom and hosted agents using Microsoft Foundry and Foundry Agent Service, with application backends built in Python and/or C#/.NET
• Design grounding, retrieval, and enterprise data solutions using Microsoft Fabric, Azure AI Search, vector search, embeddings, Microsoft Graph, SharePoint, Dataverse, and structured or unstructured data sources
• Implement secure Azure architectures using Functions, Container Apps, API Management, Service Bus, Storage, Cosmos DB, Azure SQL, Key Vault, and Application Insights
• Build tools, APIs, connectors, workflows, and integrations using secure REST, event-driven, MCP, and supported agent-interoperability patterns
• Apply enterprise-grade identity, security, governance, data protection, auditability, Responsible AI, and compliance controls
• Design automated testing and evaluation approaches for grounding, answer quality, hallucination risk, task completion, tool use, safety, security, and regression behavior
• Implement monitoring and observability for agent behavior, latency, reliability, failures, business outcomes, model usage, Azure consumption, and Copilot credits
• Estimate and optimize solution consumption and operating costs, communicate tradeoffs, and implement guardrails
• Establish CI/CD, infrastructure-as-code, testing, code review, and reusable engineering practices using GitHub, GitHub Actions, Azure DevOps, and GitHub Copilot capabilities
• Lead technical workshops, demonstrations, prototypes, implementation sessions, production handoffs, and troubleshooting efforts
• Mentor engineers and delivery team members while contributing reusable reference architectures, standards, templates, and accelerators

Senior AI Solutions Engineer

• Build, test, integrate, and deploy enterprise AI applications, copilots, agents, and supporting components under the guidance of senior engineers
• Develop solution components using Microsoft Foundry, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot and Agent Builder, Power Platform, Azure services, Power BI, and related Microsoft technologies
• Create agent actions, tools, APIs, connectors, workflows, integrations, prompts, structured outputs, and tool-use flows using approved patterns and secure interfaces
• Develop application components and agent backends using Python and/or C#/.NET, Azure Functions, REST APIs, source control, automated testing, and CI/CD practices
• Integrate AI solutions with enterprise APIs, Dataverse, SharePoint, Microsoft Graph, databases, SaaS applications, and other approved data sources
• Build grounding and retrieval-augmented generation capabilities using enterprise content, Azure AI Search, embeddings, vector search, Fabric data assets, and permission-aware retrieval patterns
• Support Power Automate flows, Power Apps, custom connectors, Dataverse components, Fabric pipelines, notebooks, lakehouses, warehouses, and semantic models
• Implement secure identity and access practices using Entra ID and related Azure services
• Create evaluation datasets and automated tests to assess AI quality, grounding, safety, task completion, and regression behavior
• Apply logging, tracing, monitoring, and telemetry practices to evaluate quality, latency, reliability, model usage, consumption, and failures; escalate risks or anomalies as needed
• Participate in code reviews, architecture discussions, documentation, customer workshops, implementation sessions, troubleshooting, and production deployments
• Continue building independence in delivering AI applications, agents, and integrations of increasing complexity, with senior engineering review for architecture and production decisions

Solutions Engineer jobs in New Hampshire

Senior AI Solutions Engineer

Associate AI Solutions Engineer