Sr. Security Harness Engineer

Indotronix International Corporation • Round Rock, TX

2d • Onsite

About The Position

Join a team building production-grade AI capabilities for secure software development across the software development lifecycle. The Sr. Security Harness Engineer will design and deploy AI solutions for secure agentic workflows, assurance of AI-generated code, and enterprise-scale integrations. This is a fully onsite role in Round Rock, Texas, offered as a long-term contract with a Fortune 500 company. The engineer will work with engineering, security, product, and leadership teams to define requirements, make technical trade-offs, and promote adoption, owning solutions from requirements analysis through deployment and enterprise adoption.

Requirements

• Proven track record developing and deploying AI-based solutions in production environments with measurable impact.
• Advanced programming proficiency in Python, TypeScript/JavaScript, Go, or similar languages, with a strong focus on code quality, testing, and maintainability.
• Hands-on experience with modern AI and LLM development, including context engineering, agentic system design, context-window management, token budgeting, and AI evaluation.
• Experience designing model context, agentic retrieval, memory architectures, enterprise data grounding, and structured outputs.
• Engineering experience with agent loops, multi-agent orchestration, and tool/function calling.
• Expertise optimizing AI workloads for production cost and latency.
• Deep understanding of software architecture, including API design, event-driven systems, and scalable, extensible data modeling.
• Experience integrating multiple systems and platforms, including REST/GraphQL APIs, CI/CD pipelines, cloud services, and enterprise tooling.
• Effective communication and collaboration skills, including conveying technical concepts to engineering and business audiences.
• Demonstrated ability to work independently across the full delivery lifecycle.
• Must be authorized to work in the United States without sponsorship.

Nice To Haves

• Experience applying AI in security domains such as application security, DevSecOps, code analysis, threat modeling, firmware security, or supply-chain security.
• Familiarity with secure-by-design practices and frameworks such as OWASP, OWASP Top 10 for LLM Applications, or NIST SSDF.
• Experience with MCP, building agent skills or tools, or extending AI coding assistants such as Claude Code, GitHub Copilot, Cursor, or Devin.
• Experience with AI evaluation frameworks, guardrails, prompt/response caching, and LLMOps in production.
• Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.

Responsibilities

• Architect, build, and deploy AI-enabled tools that automate and strengthen software security throughout the development lifecycle.
• Develop specification-driven workflows that translate requirements into secure, verifiable software implementations.
• Implement guardrails and policy enforcement for AI-generated code to ensure quality, reliability, and safety.
• Create developer-assist and verification tooling for automated security checks, supply-chain analysis, and release audits.
• Integrate solutions with enterprise source control, CI/CD, ticketing, security scanning, and identity systems using REST, GraphQL, and MCP.
• Apply architecture practices including service boundaries, data models, secure defaults, observability, and extensibility.
• Partner with engineering, security, product, and leadership teams to define requirements, evaluate trade-offs, and promote adoption.
• Drive solutions from requirements analysis through design, implementation, deployment, and enterprise adoption.

Benefits

• Long-term contract with a leading Fortune 500 company.
• Opportunity to own and deliver AI solutions at enterprise scale.
• Collaboration with security, engineering, and AI experts.
• Opportunity to influence technical direction and shape organizational security posture.
• Fully onsite work in a collaborative, innovation-driven environment.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed