Artificial Intelligence Engineer

Simarn Solutions; Minnesota; A distancia; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Simarn Solutions is seeking a Lead AI Solutions Architect / Engineer to lead enterprise AI initiatives within the Microsoft AI ecosystem, building secure copilots and agentic AI solutions.

The role focuses on designing multi-agent architectures, integrating with Microsoft 365, SharePoint, Graph, and data platforms like Snowflake, while ensuring governance, security, and production readiness.

Formación

• 8+ years of experience delivering enterprise software, cloud, analytics, automation, or AI solutions.
• Proven experience deploying at least two enterprise AI/Generative AI solutions into production.
• Hands-on experience with Azure AI Foundry (Microsoft Foundry) and/or Copilot Studio.
• Experience building AI assistants, Microsoft Copilots, or Retrieval-Augmented Generation (RAG) applications.
• Strong experience with Azure OpenAI Service and Microsoft AI technologies.
• Experience integrating Microsoft Graph, Microsoft 365, SharePoint, enterprise search, and secure content retrieval.
• Knowledge of Semantic Search, Vector Databases, Prompt Engineering, and AI Orchestration.
• Experience with Microsoft Entra ID, Authentication, RBAC, and enterprise identity management.
• Proven track record taking AI solutions from PoC to production deployment and operational support.

Responsabilidades

• Design, develop, and deploy enterprise AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft 365.
• Build AI assistants and copilots that securely retrieve information from enterprise knowledge bases and internal documentation.
• Design multi-agent AI architectures using Azure AI Foundry Agents, Copilot Studio, Power Automate, Logic Apps, and enterprise APIs.
• Develop Retrieval-Augmented Generation (RAG) solutions including semantic search, chunking strategies, and vector indexing.
• Implement prompt engineering, grounding, evaluation frameworks, and governance standards.
• Integrate AI applications with Microsoft Graph, Teams, SharePoint, Microsoft 365 services, enterprise search platforms, and business apps.
• Collaborate with stakeholders to identify high-value AI use cases and automation opportunities.
• Ensure AI solutions comply with security, governance, RBAC, privacy, and organizational compliance.
• Work with Data Engineering/Analytics teams to integrate AI with Snowflake and enterprise data platforms.
• Produce architecture documentation, designs, deployment standards, and implementation guides.

Conocimientos

Azure AI Foundry

Copilot Studio

Azure OpenAI

Microsoft 365

RBAC

Microsoft Graph

Power Automate

Logic Apps

Security governance

Snowflake

Descripción del empleo

Lead AI Solutions Architect / Engineer (Microsoft AI & Copilot)

Location: Remote (U.S.)

Employment Type: Full-Time / Contract (W2 Only)

About the Role

We are seeking an experienced Lead AI Solutions Architect / Engineer with deep expertise in the Microsoft AI ecosystem to lead the design, development, and deployment of enterprise-grade AI solutions. This role will focus on building intelligent copilots, AI assistants, and agentic AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft 365.

The ideal candidate has successfully delivered enterprise AI solutions into production and understands how to build secure, scalable, and governed AI applications that integrate seamlessly with Microsoft technologies and enterprise data platforms.

Responsibilities

• Design, develop, and deploy enterprise AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft 365.
• Build AI assistants and copilots capable of securely retrieving information from enterprise knowledge bases, SharePoint, Microsoft 365, and internal documentation.
• Design multi-agent AI architectures using Azure AI Foundry Agents, Copilot Studio, Power Automate, Logic Apps, and enterprise APIs.
• Develop Retrieval-Augmented Generation (RAG) solutions including:
• Semantic Search
• Chunking Strategies
• Vector Indexing
• Prompt Engineering
• Grounding
• Evaluation Frameworks
• Integrate AI applications with Microsoft Graph, Teams, SharePoint, Microsoft 365 services, enterprise search platforms, and business applications.
• Collaborate with business stakeholders to identify and prioritize high-value AI use cases and automation opportunities.
• Ensure enterprise AI solutions comply with security, governance, RBAC, privacy, and organizational compliance requirements.
• Work closely with Data Engineering and Analytics teams to integrate AI solutions with Snowflake and enterprise data platforms.
• Establish AI guardrails, monitoring, evaluation frameworks, governance standards, and operational best practices.
• Produce architecture documentation, technical designs, deployment standards, and implementation guides to support enterprise AI adoption.

Required Qualifications

• 8+ years of experience delivering enterprise software, cloud, analytics, automation, or AI solutions.
• Proven experience deploying at least two enterprise AI/Generative AI solutions into production with measurable business adoption.
• Hands-on experience with Azure AI Foundry (Microsoft Foundry) and/or Copilot Studio.
• Experience building AI Assistants, Microsoft Copilots, or Retrieval-Augmented Generation (RAG) applications.
• Strong experience with Azure OpenAI Service and Microsoft AI technologies.
• Experience integrating Microsoft Graph, Microsoft 365, SharePoint, enterprise search, and secure organizational content retrieval.
• Strong understanding of:
• Semantic Search
• Vector Databases
• Prompt Engineering
• AI Orchestration
• Experience with Microsoft Entra ID, Authentication, Role-Based Access Control (RBAC), and enterprise identity management.
• Demonstrated experience taking AI solutions from Proof of Concept through Production deployment and operational support.