Lead AI Architect (Remote)

KSHB / KMCI / The EW Scripps CompanyColorado Springs, CO
Remote

About The Position

The E.W. Scripps Company is seeking a Lead AI Architect to design and implement enterprise-scale AI solutions with a strong engineering foundation, bringing deep technical expertise in agentic systems, developer tooling, and AI platform integration. Contribute to the architectural strategy for AI-powered applications — including agent frameworks, tool ecosystems, and model provider integrations — and translate business requirements into production-grade systems built to last.

Requirements

  • Advanced experience building and deploying production AI applications with a software engineering mindset.
  • Hands-on expertise designing and deploying AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
  • Deep understanding of RAG implementation patterns and vector database optimization.
  • Proficiency setting up and managing MCP servers and defining tool schemas for LLM tool-use integrations.
  • Strong experience integrating with cloud-hosted model providers — particularly AWS Bedrock and Azure AI Service.
  • Proficiency in at least one backend programming language (Python, TypeScript/Node.js, Java, etc.) for building production AI systems.
  • Familiarity with REST/GraphQL APIs, event-driven architectures, and containerized deployments (Docker, Kubernetes).
  • Experience with CI/CD pipelines, infrastructure-as-code, and developer tooling in cloud environments.
  • Strong communication skills with the ability to explain technical concepts to diverse audiences.
  • Advanced understanding of AI safety, prompt security, and responsible AI practices.
  • BS/BA in Computer Science, Software Engineering, or related discipline; or equivalent hands-on experience required.
  • Generally 8+ years of experience in software engineering or related field; experience in AI/agent development strongly preferred.

Nice To Haves

  • Experience in the Media and Broadcast domain is a plus.
  • Awareness or experience with LLM fine-tuning is a major plus.
  • Relevant certifications (AWS, Azure, cloud AI services) a plus.

Responsibilities

  • Define and own AI solution architectures spanning agentic workflows, MCP server infrastructure, and multi-model orchestration.
  • Lead the design and deployment of complex RAG architectures and vector database strategies to support enterprise data retrieval.
  • Architect and implement MCP (Model Context Protocol) servers and tool integrations, emphasizing advanced function calling and structured output schemas.
  • Drive integration with major model providers (AWS Bedrock, Azure OpenAI, Anthropic, etc.) and define standards for model selection, routing, and fallback.
  • Establish engineering patterns for AI observability, prompt engineering, and rigorous AI evaluation frameworks to ensure reliability.
  • Collaborate with engineering, product, and platform teams to deliver integrated AI solutions within existing software ecosystems.
  • Ensure scalability, security, and maintainability through sound software architecture principles.
  • Guide prototyping and proof-of-concept efforts; define technical evaluation criteria for emerging AI tools and frameworks.
  • Present technical solutions and recommendations to senior stakeholders in a clear and compelling way.
  • Mentor peers and establish best practices in AI engineering, agent design, and tooling.
  • Uphold and define security, compliance, and responsible AI standards, specifically addressing OWASP LLM Top 10 risks, prompt injection, and PII leakage.
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