AI Engineer

Description
Position Summary
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
Required Skills and Qualifications
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
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
This is a fully onsite position in Round Rock,TX.
Application Deadline
This position is anticipated to close on Jul 24, 2026.

About TEKsystems

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.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

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.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.