Principal AI DevSec Engineer

Description Kforce is immediately seeking an experienced Principal AI Dev Sec Engineer in support of our enterprise compute customer based in Round Rock, TX.Responsibilities:
* Design, build, and deploy AI-powered capabilities across the SDLC, including:
Spec Driven Development workflows that support the translation of well-formed specifications into secure, verifiable implementations;
Assurance of AI-generated code - guardrails, policy enforcement, and verification for code produced by AI assistants and agents; SDLC skills and agent tooling - developer-assist skills as well as verification skills that perform automated security checks (design review, dependency and supply-chain analysis, static/dynamic analysis orchestration, release audit support)
* Integrate solutions with enterprise systems - source control, CI/CD, ticketing, security scanning, identity, and internal platforms - through APIs, webhooks, and protocols such as MCP (Model Context Protocol)
* Partner with engineering, security, product, and leadership stakeholders to define requirements, evaluate trade-offs, and support solution adoption
* Apply sound architecture and systems design practices: well-defined service boundaries, appropriate data models, secure defaults, observability, and extensibility Requirements
* Demonstrated experience developing and deploying AI-based solutions in production environments, with measurable business or operational impact
* Hands-on experience with modern AI/LLM development, including:
Context engineering - designing what informs the model's context window, including agentic retrieval and search, memory architectures, grounding in enterprise data, and structured outputs;
Agentic system design - agent loop engineering, multi-agent and sub-agent orchestration, and tool/function calling;
Context window management and token budgeting, including cost and latency optimization for production workloads;
Evaluation of AI system quality, reliability, and safety
* Experience developing and/or deploying applications with large-scale impact (broad user base, high transaction volume, or organization-wide adoption)
* Experience integrating with multiple systems and platforms (REST/GraphQL APIs, CI/CD pipelines, cloud services, enterprise tooling)
* Solid understanding of software architecture and systems design, including API design, event-driven patterns, and data modeling for scalability and extensibility
* Strong programming proficiency (e.g., Python, Type Script/JavaScript, Go, or similar) and adherence to software engineering best practices, including testing, code quality, and maintainability
* Strong communication and collaboration skills, with the ability to convey technical concepts to both engineering and business audiences
* Demonstrated ability to work independently across the full delivery lifecycle - requirements analysis, solution design, implementation, deployment, and stakeholder engagement - with accountability for results

Preferred:
* Experience applying AI within a security domain - application security, Dev Sec Ops , code analysis, threat modeling, firmware security or software supply-chain security

Job Type Contract Compensation
59 - $77