AI Architect

RESPONSIBILITIES:
Kforce's client is seeking an AI Architect - Agentic Platforms to define the architectural foundations that power the client's enterprise agent ecosystem. This role is responsible for designing and governing the architecture for agent-based integrations, agent registries, scoring/evals infrastructure, grounding patterns, and multi-agent orchestration platforms. The AI Architect provides deep technical leadership across engineering, product, data science, security, and cloud teams to ensure that agents are built safely, consistently, and with enterprise-grade reliability, performance, and observability.

Responsibilities:
* Define and maintain the enterprise reference architecture for agentic platforms (agentic framework, tools, MCP, registries, evals, orchestration, grounding, observability)
* Establish architectural standards and best practices for agent design, tool integration, safety, telemetry, versioning, and lifecycle management
* Provide architectural leadership for agentic platform engineering teams, ensuring scalability, resiliency, performance, and operability
* Design and guide integration with semantic layers, embeddings, vector search, knowledge models, and enterprise data products to enable grounded agent behavior
* Drive architectural direction for low-code/no-code agent-building platforms, ensuring governance, consistency, and ease of adoption
* Partner with cloud, security, product, and enterprise architecture teams to align agentic platform designs with client's AI governance and RAI principles
* Define and support agentic SDLC through patterns for evals, safety tests, regression gates, monitoring, and benchmarking
* Evaluate new agentic frameworks, open-source standards, and orchestration tools to guide build vs buy platform decisions
* Provide hands-on architectural guidance across engineering and data science teams, enabling scalable, secure, and cost-efficient agent deployment

REQUIREMENTS:
* Designing enterprise AI/ML systems; 1+ years hands-on with GenAI, agentic workflows, RAG, LLM-based integrations, or multi-agent systems
* Experience in cloud and distributed systems architecture focused on scalability, reliability, observability, and performance
* Strong expertise with agentic frameworks and tooling (MCP, LangChain, LangGraph,LlamaIndex, autogen, crewai, Agent sdk,OpenAI SDK etc)
* Hands-on experience in modern software development and engineering practices
* Proven experience integrating APIs and enterprise systems into agentic platforms and workflows
* Ability to rapidly build AI-driven prototypes, proofs of concept, and demo-ready product experiences
* Experience defining and governing enterprise architecture standards, patterns, and reference architectures
* Deep understanding of MCP servers, tool calling, registries, eval pipelines, agent observability, and multi-agent orchestration
* Hands-on experience with Azure and Google Cloud Platform, including Kubernetes, containerization, identity, networking, CI/CD, and API platforms
* Familiarity with AIOps/MLOps stacks (MLflow, model registries, vector DBs, semantic layers, feature stores, monitoring)
* Strong knowledge of security, compliance, risk, and Responsible AI (RAI) considerations for enterprise agent systems
* Demonstrated ability to partner across engineering, data science, product, and security teams to deliver complex AI platform architectures

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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