Artificial Intelligence Consultant

• Initial 6-month contract, renewable based on business needs, performance, and project scope
• Hybrid in Minneapolis, MN

• Minimum 3 years of experience as an AI Lead/AI Architect/AI Principal, or equivalent senior AI technical leadership role
  .
• 5+ years of experience in cloud architecture, and enterprise software architecture
• Hands‑on experience designing and delivering production AI solutions using Azure AI Foundry / Azure OpenAI and AWS Bedrock
  .
• Practical experience with AWS Bedrock
  , including Bedrock Agents, Bedrock Knowledge Bases, etc.
• Exposure to Google Cloud Vertex AI is a plus but not required.
• Strong experience designing agentic AI workflows
  , including tool calling, multi‑step orchestration, state management, error handling, guardrails, and workflow automation.
• Experience with AI orchestration technologies such as Azure AI Foundry Agents
  , AWS Bedrock Agents
  , AWS Step Functions
  , Lang Graph
  , Lang Chain
  , or similar frameworks.
• Experience designing enterprise Retrieval‑Augmented Generation solutions using Azure AI Search, Amazon Bedrock Knowledge Bases, Amazon Open Search, Databricks Vector Search, or similar vector/search platforms.
• Working knowledge of Model Context Protocol and enterprise tool integration patterns.
• Strong understanding of LLMs, embeddings, prompt engineering, prompt management, model evaluation, hallucination mitigation, content safety, and responsible AI.
• Ability to design secure, scalable, cloud‑native AI architectures with identity, access control, audit logging, data protection, observability, and governance.
• Ability to explain AI architecture trade‑offs clearly, including cost, latency, accuracy, security, governance, maintainability, and operational complexity.
• Strong communication, documentation, stakeholder management, and technical leadership skills.

• Lead architecture and design of enterprise and scalable AI solutions focused on Azure AI Foundry
  , Azure OpenAI
  , AWS Bedrock
  , Retrieval‑Augmented Generation, MCP, and agentic orchestration.
• Define reference architectures, reusable patterns, design standards, and implementation roadmaps for AI agents and AI‑enabled workflows.
• Architect agentic workflows that can retrieve information, reason over context, call tools, execute actions, and safely interact with enterprise systems.
• Design secure RAG pipelines for enterprise documents, knowledge bases, and structured data sources.
• Define orchestration patterns for tool use, function calling, workflow automation, state management, approval flows, exception handling, and monitoring.
• Evaluate and select AI models, orchestration frameworks, vector stores, cloud AI services, integration patterns, and governance controls.
• Partner with engineering teams to move AI solutions from prototype to production.
• Provide technical advisory, architecture reviews, design documentation, implementation recommendations, and hands‑on guidance to engineering and platform teams.
• Establish AI governance, prompt management, evaluation, monitoring, observability, and responsible AI practices.
• Mentor engineers and provide technical leadership across AI initiatives.

• 401(k) Matching Plan
• Relationship Driven Process to Find Your Best Fit
• 6 Paid Holidays
• Regular Meetings to Ensure Quality in Your Engagement
• Competitive medical, dental, vision coverage
• Health Savings Account, Dependent Care FSA, supplemental coverage
• Company match 401(k), paid time off, sick time, paid company holidays
• Employee Assistance Program (EAP) with virtual counseling, financial services, legal services, life coaching

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.