Agentic AI Solutions Architect – Charlotte, NC – 5+ Months Contract

Role: Agentic AI Architect

Location: Charlotte NC - Onsite 4 days

Duration: 5+ Months

Client: KForce

End Client: Infrastructure Domain

Description:

Required Skills 

·Proven experience designing and evolving architectures for modern, distributed systems

·Expert-level proficiency in at least one modern programming language (e.g., Python, Java, TypeScript, Go) and ability to learn and adapt quickly

·Solid understanding of API design, data modeling, and integration patterns

·Experience working with cloud platforms, containers, and modern deployment models

·Experience architecting solutions in AWS and/or Microsoft Azure cloud environments

·Ability to design for scalability, reliability, security, and maintainability in production systems

·Comfort leading design discussions and communicating tradeoffs with technical and non-technical stakeholders

·Hands-on mindset: ability to prototype, build reference implementations, and support teams with production-ready contributions

·Strong written communication skills (e.g., design docs, decision records, architecture diagrams) that explain why a solution was chosen

·Pragmatic approach that balances speed versus perfection with “just enough” planning to enable delivery

·Experience collaborating with product managers and engineering teams to align technical execution with business goals

·Knowledge of delivery enablers such as CI/CD, automated testing, and infrastructure-as-code

·Ability to embed security, performance, and reliability considerations into solution design from the outset

·Experience mentoring engineers through design discussions and hands-on problem-solving

·Excellent problem-solving skills and comfort working in ambiguous problem spaces

·Experience working in Agile/Scrum environments and coordinating across multiple teams

·Ability to manage goals, track milestones, and communicate status and risks effectively

·Strong stakeholder management skills across product, engineering, and operations

·Ability to develop and present technical concepts and architectural decisions to a business audience

·Strong communication skills with peers, partners, and customers

·Experience architecting AI solutions using Large Language Models (LLMs), including prompt design patterns, retrieval-augmented generation (RAG), and tool/function calling

·Experience designing and evaluating agentic workflows (planning, memory, tool selection, guardrails) for enterprise use cases

·Knowledge of Model Context Protocol (MCP) concepts, including architecting/operating MCP servers and integrating agents with enterprise tools and data sources

·Understanding of AI security and governance considerations (data privacy, prompt injection, model/tool permissions, evaluation/monitoring)

·Exceptional organizational and time management skills