AI Solutions Architect

Kforce Inc.
Riverwoods, IL, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Computing Platforms Architectural Patterns Automation of Tests Cloud Computing Information Systems Continuous Integration Data Architecture Graph Database Information Systems Security Architecture Professional Knowledge-Based Systems
+16 more
Machine Learning Software Architecture Search Technologies Systems Integration Unstructured Data Enterprise Software Applications Chatbots Large Language Models Generative AI Event Driven Architecture Kubernetes Information Technology Data Management Machine Learning Operations Virtual Agents Serverless Computing

Job description

Kforce’s client in Riverwoods, IL is seeking an experienced AI Solutions Architect to lead the design and delivery of enterprise AI solutions from concept through production deployment and ongoing operations., This role is responsible for architecting secure, scalable, supportable, and business-driven AI solutions that integrate seamlessly into enterprise applications, data platforms, and business processes. The ideal candidate brings a combination of hands-on technical expertise, architecture leadership, and practical experience delivering production AI solutions that create measurable business outcomes., * Design end-to-end AI solution architectures across Generative AI, Agentic AI, Machine Learning, Conversational AI, Intelligent Automation, and Retrieval-Augmented Generation (RAG)

  • Translate business requirements into scalable solution designs covering AI models, agents, integrations, security, cloud infrastructure, data, observability, and support operations
  • Architect production-ready AI solutions utilizing LLMs, RAG, AI agents, vector search, enterprise knowledge systems, and cloud-native services
  • Establish architecture patterns for AI governance, security, observability, evaluation, and operational support
  • Partner with business leaders, engineering teams, cybersecurity, data, infrastructure, and product stakeholders to drive successful delivery
  • Evaluate AI technologies, platforms, models, frameworks, and vendors to ensure alignment with business and technical objectives
  • Define architecture standards, solution patterns, technical documentation, and implementation guidance
  • Ensure solutions meet requirements for performance, scalability, reliability, security, compliance, supportability, and cost efficiency
  • Serve as a trusted technical advisor by clearly communicating architecture decisions, trade-offs, risks, and business value

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or related field (or equivalent experience)
  • 8+ years of experience in Solutions Architecture, Enterprise Architecture, Software Architecture, Platform Architecture, Data Architecture, or related senior technical roles
  • Proven experience architecting and delivering production AI, Generative AI, Machine Learning, Agentic AI, or Retrieval-Augmented Generation (RAG) solutions
  • Experience leading AI initiatives from business concept through deployment, operational transition, and ongoing support
  • Deep understanding of Large Language Models (LLMs), embeddings, retrieval, prompting strategies, AI agents, tool calling, structured outputs, and multimodal AI
  • Strong knowledge of AI security, governance, privacy, risk management, and responsible AI practices
  • Experience designing enterprise integrations using APIs, event-driven architectures, messaging, workflows, and modern cloud services
  • Knowledge of LLMOps, MLOps, AgentOps, CI/CD, automated testing, monitoring, deployment, and lifecycle management practices
  • Experience designing scalable and secure architectures across structured and unstructured data environments
  • Ability to create solution architectures, technical designs, integration diagrams, technical requirements, and implementation guidance
  • Demonstrated ability to evaluate when AI is the right solution and when alternative approaches provide greater value
  • Experience with AI agents, orchestration frameworks, vector databases, knowledge graphs, model registries, evaluation frameworks, and AI gateways
  • Experience supporting enterprise AI Centers of Excellence or large-scale digital transformation initiatives
  • Familiarity with Model Context Protocol (MCP) or similar agent integration standards

Benefits & conditions

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.

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