AI Architect

RESPONSIBILITIES:
Kforce has a client that is seeking an AI Architect in Wichita, KS.

Overview:
An AI Architect engages with our IT and business teams to drive solution design for the organizations transformation initiatives and ensure that architecture best practices as part of design. You must show a proven ability to manage complex requirements while understanding the appropriate risk profile of a project to determine the correct solution. Daily challenges will arise that require softer skill expertise than technical expertise - meaning, you cannot rely on technical aptitude alone to be successful. You must realize and show the ability to understand the business direction, objectives, and parties involved to get to the best outcome.

What You Will Do:
* Partner with Product and business teams to identify high-value AI and Generative AI use cases, then lead the technical solutioning process to build the detailed architecture for how AI will solve the problem
* Consider the enterprise picture as part of AI solution design to produce reference architectures and patterns consistent with IT technical vision, data strategy, and responsible-AI standards
* Leverage expertise across multiple technical domains as part of the solutioning process (Machine Learning, GenAI/LLMs, Data Engineering, Security, Cloud Infrastructure, Application Integration, etc.)
* Lead the development and alignment of AI architecture strategy, patterns, and guardrails across the engineering and design organization
* Experimentation - Identify, prototype, and evaluate emerging AI models, agentic frameworks, and tooling to solve problems new to the organization
* Establish and champion responsible AI practices - model governance, security, data privacy, evaluation, and ongoing monitoring of solutions in production
* Familiarity with Responsible AI and AI governance - safety, guardrails, bias mitigation, data privacy, and emerging regulatory requirements

REQUIREMENTS:
* 5+ years of experience in Information Technology, including hands-on delivery of data, analytics, or AI/ML solutions
* Experience designing and deploying AI/ML and Generative AI solutions on modern cloud platforms (Azure AI/Azure OpenAI, AWS Bedrock/SageMaker, Claude Code/Claude Cowork, or comparable)
* Working knowledge of core Generative AI building blocks - large language models, prompt engineering, retrieval-augmented generation (RAG), embeddings, and vector stores
* Proven experience communicating AI and technology concepts in both execution detail and broad terms to a variety of technical and business audiences
* Demonstrated capability partnering with customers to understand business and operating models and translate them into AI-enabled solution proposals

What Will Put You Ahead:
* Experience in supporting discrete engineering and manufacturing
* Experience designing and deploying agentic AI - conversational and action-oriented AI agent platforms - to solve business problems
* Deep understanding of Generative AI and large language model architecture (transformer models, fine-tuning, RAG, embeddings, and prompt/context engineering)
* Experience operationalizing AI - LLMOps/MLOps practices for model deployment, evaluation, prompt and version management, monitoring, and drift detection
* Experience with vector databases and retrieval systems (e.g., Azure AI Search, pgvector, Pinecone)
* Experience with AI orchestration and agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar)
* Experience with data architecture that supports AI (data lakes, graph/knowledge-graph technology, feature stores, and data pipelines)
* Experience with DevOps and MLOps methodologies and tools (CI/CD, GitHub, Azure DevOps)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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