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Open nowPosted 9 hours ago

(1120622) AI Solution Architect

Diversified Services Network, Inc.

Where
Peoria, IL, United States
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Your applicationOpen now(1120622) AI Solution ArchitectDiversified Services Network, Inc. · Peoria, IL, United States

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The clock on this job

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Share of postings closed within
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  2. 4.7%3 days
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  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 9 hours ago

The posting

Diversified Services Network, Inc. (DSN) is seeking a full-time AI Solution Architect to join our onsite team in your choice of our Peoria, IL or Irving, TX office locations. We offer full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!

Position Overview

The AI Solution Architect works with architects, business stakeholders, and internal development teams to assess needs, evaluate solution options, and define practical approaches for enterprise AI and data use cases, including Generative AI. Operating across hybrid on-premises and cloud environments, this role uses approved enterprise platforms, services, and architectural patterns. The focus is discovery, solution architecture, and implementation guidance rather than hands-on model development or day-to-day application coding.

Key Responsibilities

  • Lead discovery sessions with business stakeholders to understand objectives, pain points, constraints, and desired outcomes for proposed use cases.
  • Partner with architects and technical teams to shape solution approaches for new and evolving business use cases.
  • Translate business and functional requirements into solution concepts, architecture recommendations, and implementation considerations aligned with enterprise standards.
  • Assess solution options, tradeoffs, dependencies, and technical feasibility.
  • Collaborate with engineers, data scientists, machine learning engineers, and domain experts to refine solution direction and support delivery planning.
  • Facilitate alignment between business and technical teams by clarifying scope, assumptions, constraints, and recommended next steps.
  • Build reference implementations or lightweight prototypes, when appropriate, to illustrate recommended approaches.
  • Evaluate and recommend approved tools, platforms, and solution patterns in line with enterprise architecture and governance standards.
  • Document proposed solutions, including architecture views, assumptions, dependencies, design considerations, and recommended implementation approaches.
  • Contribute to reusable architecture guidance, design patterns, and solution documentation that support repeatable delivery across similar AI and data use cases.

Requirements

Required Qualifications

  • Bachelor's degree AND 10+ years of experience in solution architecture or a similar capacity.
  • Proven experience designing and implementing production enterprise AI and Generative AI solutions, including enterprise AI platforms, model integration patterns, NLP, RAG, vector-based and enterprise search, prompt orchestration, agentic AI, and multi-agent workflows.
  • Track record of facilitating stakeholder discovery and requirements gathering for complex technical initiatives.
  • Experience designing scalable solutions across on-premises and cloud platforms such as Microsoft Azure, AWS, and/or Google Cloud Platform (GCP), using APIs, microservices, containerized workloads, cloud-native architectures, and enterprise identity/security integration.
  • Working knowledge of Python, JavaScript/TypeScript, REST APIs, SDKs, and notebooks, with experience guiding internal development teams through implementation planning and reviewing technical approaches.
  • Strong communication, facilitation, and collaboration skills with both business and technical audiences.

Preferred Qualifications

  • Cloud certification (any provider).
  • Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, AI Refinery, Microsoft Foundry, LangChain, LangGraph, GraphRAG, Snowflake, Dataiku, Agent Skills/agent harness patterns, MCP servers, or similar enterprise AI and data platforms.
  • Experience with Kubernetes or managed container hosting such as AKS or EKS.
  • Experience building solution accelerators adopted across multiple teams or business units.

Benefits

  • 401(k)
  • Dental insurance
  • Vision Insurance
  • Disability insurance
  • Employee assistance program
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Paid Holidays

Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com

Salary Expectations: $165,000-170,000 annually

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