Principal AI Software Engineer

Pyramid Consulting, Inc; Round Rock (TX); On-site; USD 103,000 - 117,000; Full time

Job summary

Pyramid Consulting, Inc. has an immediate opening for a Principal AI Software Engineer in Round Rock, TX, onsite.

This 12+ months contract role focuses on design, development, and deployment of AI-powered capabilities across the SDLC. Responsibilities include context engineering, guardrails for AI-generated code, security scanning, and collaboration with engineering, security, product, and leadership stakeholders.

Qualifications

• Experience deploying AI-based solutions in production with measurable impact.
• Strong architecture knowledge, API design, and scalable data models.
• Ability to own requirements, design, implement, deploy and engage stakeholders.

Responsibilities

• Design, build, and deploy AI-powered capabilities across the SDLC.
• Guardrails and verification for AI-generated code and agent outputs.
• Integrate solutions with enterprise systems via APIs, webhooks, and MCP.
• Collaborate with engineering, security, product, and leadership to define requirements.
• Apply secure-by-design practices and ensure compliance in enterprise contexts.

Skills

AI Software Development

Context Engineering

Agentic System Design

Secure Development

Cloud & API Integration

Education

Bachelor's or Master's in Computer Science

Tools

REST/GraphQL APIs

CI/CD Pipelines

MCP Protocol

DevSecOps

Job description

Immediate need for a talented Principal AI Software Engineer. This is a 12+ Months contract opportunity in Round Rock, TX (Onsite).

Job Diva ID: 26-26407

Pay Range: $75- $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key 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.

Key Requirements and Technology Experience

• 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
• Solid understanding of software architecture and systems design, including API design, event-driven patterns, and data modeling for scalability and extensibility
• 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)
• Demonstrated ability to work independently across the full delivery lifecycle - requirements analysis, solution design, implementation, deployment, and stakeholder engagement - with accountability for results
• Strong communication and collaboration skills, with the ability to convey technical concepts to both engineering and business audiences
• Working knowledge of secure development practices and experience designing solutions that meet enterprise security and compliance requirements
• Experience applying AI within a security domain - application security, DevSecOps, code analysis, threat modeling, firmware security, or software supply-chain security
• Familiarity with secure-by-design / secure-by-default principles and relevant frameworks (e.g., OWASP, including the OWASP Top 10 for LLM Applications; NIST SSDF)
• Experience with MCP (Model Context Protocol), building agent skills and tools, or extending AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor, Devin)
• Experience with AI evaluation frameworks, guardrails, prompt/response caching strategies, and LLMOps in production
• Bachelor's or master's degree in computer science or a related field, or equivalent practical experience
• Security Harness Engineering

Our client is a leading provider in IT Industry, and we are currently interviewing to fill this and other similar contract positions.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.