Senior AI Solutions Engineer

🔥 0 minutes ago

🗻 New Hampshire – Remote

🗻 New Hampshire – Remote

💵 $122.5k - $159.2k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Connection

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1982

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Connection is a leading provider of technology products and services for businesses, healthcare institutions, educational organizations, and government entities. The company offers a wide range of solutions including computer parts, office equipment, software, and storage solutions. Connection also specializes in providing comprehensive IT services such as cybersecurity, artificial intelligence, digital workspace, modern infrastructure, and multicloud solutions. With a focus on delivering tailored IT solutions that meet specific organizational needs, Connection helps its clients implement effective technology strategies that enhance business operations and outcomes.

📋 Description

• 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

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Artificial Intelligence, Data Science, a related technical field, or an equivalent combination of education and work experience • Minimum of 6 years of professional experience in software, cloud, data, application, solution, or AI engineering, including recent hands-on delivery of production AI applications or agents • At least 4–6 years of applied AI or generative AI experience, with strong evidence of designing, coding, integrating, testing, deploying, and supporting production GenAI or agentic solutions • Experience leading complex customer or stakeholder engagements while remaining hands-on throughout implementation • Practical experience with relevant Microsoft technologies such as Microsoft Foundry, Foundry Agent Service, Copilot Studio, Microsoft Fabric, Microsoft 365 Copilot, Agent Builder, Microsoft 365 Agents SDK or Agents Toolkit, Agent 365, Azure AI Search, Power Platform, and Microsoft Graph • Strong software engineering skills using Python and/or C#/.NET, APIs, authentication and authorization patterns, automated testing, source control, and CI/CD • Experience designing Azure application and integration architectures using compute, API, messaging, storage, database, identity, secret-management, and observability services • Knowledge of enterprise grounding and RAG patterns using search, embeddings, vector retrieval, structured data, documents, semantic models, and permission-aware data sources • Experience with AI and agent evaluation, tracing, monitoring, safety controls, governance, production support, and consumption optimization • Strong written and verbal communication skills, with the ability to explain architecture, risk, delivery, and cost tradeoffs to both technical and nontechnical audiences • Ability to mentor engineers, influence cross-functional teams, and promote reusable technical practices without requiring direct people-management responsibility • Current, relevant Microsoft certifications or Applied Skills in Azure AI, Microsoft Fabric, Copilot Studio, Power Platform, Microsoft 365 agent development, or related technologies (preferred) • GitHub Copilot certification or demonstrated practical experience using GitHub Copilot coding agents, custom agents, reusable instructions or skills, and MCP integrations in governed engineering environments (preferred) • Experience building Microsoft 365 declarative or custom-engine agents and extending Microsoft 365 Copilot or Copilot Cowork through supported skills, plugins, connectors, or APIs (preferred) • Experience making agents compatible with Microsoft Agent 365 governance, identity, observability, and security controls (preferred) • Practical experience with multiple model providers, including Microsoft-hosted models, OpenAI, and Anthropic, and selecting models based on quality, safety, latency, availability, and cost (preferred) • Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

🏖️ Benefits

• Competitive compensation • 401k plans • Medical insurance • Free therapy visits • Mental health coaching and tools • Meditation resources • Generous paid time off package • Vacation time • Care time • Wellness Time Off days • Volunteer Time Off days