AI Engineer

Software Architecture Requirements Analysis Supply Chain Analysis Supply Chain Security Full Stack Development Stakeholder Engagement Application Deployment Artificial Intelligence Enterprise Architecture Business Transformation Stakeholder Requirements Dynamic Program Analysis Event-Driven Programming Go (Programming Language) Software Quality (SQA/SQC) Business Continuity Planning Model Context Protocol (MCP) Python (Programming Language) Systems Development Life Cycle Enterprise Application Software JavaScript (Programming Language) Application Programming Interface (API) Open Web Application Security Project (OWASP), We are seeking an AI Engineer with demonstrated experience delivering AI-based solutions from concept

through production. The role requires a high degree of independence: translating business and stakeholder

requirements into secure, enterprise-aligned solutions, and carrying them through design, implementation,

deployment, and adoption. The successful candidate will combine strong engineering fundamentals with

current expertise in applied AI and agentic systems and will contribute to the broader team's capability

through knowledge sharing and enablement.

Objectives of This Role

• Deliver AI-driven solutions that streamline or replace manual processes across the SDLC, with

measurable improvements in delivery speed, quality, and security posture

• Translate requirements into solution designs that align with enterprise architecture and security

standards, and see them through to production

• Apply structured, forward-looking design so that solutions scale with usage and extend to new use

cases over time

• Advance secure-by-design and secure-by-default practices through the solutions delivered

• Strengthen team capability through documentation, reusable patterns, and knowledge sharing

conducted alongside delivery

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

• Design and operate agentic systems responsibly and efficiently, including orchestration of agent loops

and sub-agents, context and token budget management, and cost/latency optimization

• Evaluate emerging AI technologies and methods - agentic frameworks, tool use, agentic retrieval and

memory systems, structured outputs, evaluation frameworks, LLMOps - and recommend adoption

where appropriate for production use

• Establish evaluation and quality practices for AI outputs, measuring accuracy, safety, and business

impact, and iterating based on results

• Contribute to team enablement through documentation, demonstrations, and mentoring, Software Architecture Requirements Analysis Supply Chain Analysis Supply Chain Security Full Stack Development Stakeholder Engagement Application Deployment Artificial Intelligence Enterprise Architecture Business Transformation Stakeholder Requirements Dynamic Program Analysis Event-Driven Programming Go (Programming Language) Software Quality (SQA/SQC) Business Continuity Planning Model Context Protocol (MCP) Python (Programming Language) Systems Development Life Cycle Enterprise Application Software JavaScript (Programming Language) Application Programming Interface (API) Open Web Application Security Project (OWASP) +0

Tooling GraphQL Auditing Webhooks Budgeting DevSecOps Pipelines Operations Leadership Management Automation Mentorship TypeScript API Design Scalability Reliability Claude Code Communication Observability Data Modeling Collaboration Code Analysis Accountability Systems Design Cloud Services Design Reviews GitHub Copilot Memory Systems Version Control Solution Design Maintainability Threat Modeling Security Domain Agentic Systems Computer Science Machine Learning Budget Management Firmware Security, * Demonstrated experience developing and deploying AI-based solutions in production environments,

with measurable business or operational impact

• Strong programming proficiency (e.g., Python, TypeScript/JavaScript, Go, or similar) and adherence to

software engineering best practices, including testing, code quality, and maintainability

• 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

Preferred Skills and Qualifications

• 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

• Experience mentoring engineers or leading technical enablement initiatives

• Bachelor's or master's degree in computer science or a related field, or equivalent practical experience

Skills

Python, artificial intelligence, machine learning, security, devsecops, threat model

Top Skills Details

Python, artificial intelligence, machine learning, security

Additional Skills & Qualifications

Security Background is a huge plus:

• 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) Job Type & Location, GraphQL Auditing Webhooks Budgeting DevSecOps Pipelines Operations Leadership Management Automation Mentorship TypeScript API Design Scalability Reliability Claude Code Communication Observability Data Modeling Collaboration Code Analysis Accountability Systems Design Cloud Services Design Reviews GitHub Copilot Memory Systems Version Control Solution Design Maintainability Threat Modeling Security Domain Agentic Systems Computer Science Machine Learning Budget Management Firmware Security

This is a Contract position based out of Round Rock, TX. Pay and Benefits

The pay range for this position is $75.00 - $75.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: * Medical, dental & vision * Critical Illness, Accident, and Hospital * 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available * Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term disability * Health Spending Account (HSA) * Transportation benefits * Employee Assistance Program * Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company., We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.