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Diversified Services Network

AI Solution Architect

Technology & Systems ConsultingPosted on Nov 10
Full-time$165k - $170k /yr

About the Job

Requirements

  • A bachelor's degree and 10 or more years of experience in solution architecture or a similar capacity are required.
  • Proven experience designing and implementing production enterprise artificial intelligence and generative artificial intelligence solutions is required, including enterprise artificial intelligence platforms, model integration patterns, natural language processing, retrieval-augmented generation, vector-based and enterprise search, prompt orchestration, agentic artificial intelligence, and multi-agent workflows.
  • Experience facilitating stakeholder discovery and requirements gathering for complex technical initiatives is required.
  • Experience designing scalable solutions across on-premises and cloud platforms such as Microsoft Azure, Amazon Web Services, and/or Google Cloud Platform is required, using application programming interfaces, microservices, containerized workloads, cloud-native architectures, and enterprise identity and security integration.
  • Working knowledge of Python, JavaScript or TypeScript, REST APIs, software development kits, and notebooks is required, along with experience guiding internal development teams through implementation planning and reviewing technical approaches.
  • Strong communication, facilitation, and collaboration skills with business and technical audiences are required.

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 reusable architecture guidance, design patterns, and solution documentation that support repeatable delivery across similar artificial intelligence and data use cases.

Desired Qualifications

  • A cloud certification from any provider is preferred.
  • Experience with Azure OpenAI, Amazon Bedrock, Vertex AI, AI Refinery, Microsoft Foundry, LangChain, LangGraph, GraphRAG, Snowflake, Dataiku, agent skills or agent harness patterns, MCP servers, or similar enterprise artificial intelligence and data platforms is preferred.
  • Experience with Kubernetes or managed container hosting such as AKS or EKS is preferred.
  • Experience building solution accelerators adopted across multiple teams or business units is preferred.

About the Company

Diversified Services Network

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