Big challenges need bold thinkers.
If you’re someone who sees problems as opportunities, you’ll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we’ve tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.
At RESPEC, you’ll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.
We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you’ll fit right in.
We do not accept unsolicited resumes from third-party recruiters.
Job DescriptionRESPEC is seeking and AI Engineer, to join the Texas DPS’s Information Technology Division at an important time of enterprise AI expansion. You will help advance four key priorities: delivering an enterprise search solution, deploying the Darwin AI inventory and monitoring platform, implementing AI agents aligned to operational needs, and establishing practical AI governance controls.
This role is ideal for an engineer who combines hands-on AI implementation experience with strong documentation, testing, rollout, and governance skills. You will work closely with existing DPS technical teams to accelerate delivery across multiple high-priority initiatives.
Core Responsibilities:
- Build and deploy components supporting an enterprise search solution across DPS systems.
- Assist with the configuration, rollout, and documentation of the Darwin AI inventory and monitoring system.
- Support implementation, validation, and testing of AI agents designed around business-unit requirements.
- Develop technical controls, processes, and supporting documentation for organizational AI-governance adoption.
- Partner with DPS stakeholders and technical teams to meet accelerated project timelines.
- Support enterprise AI capabilities that enhance internal operations and public-facing services.
- Work during standard business hours and, when pre-approved and needed, support work outside normal hours, including evenings, weekends, or holidays.
Required Technical Experience
Candidates must demonstrate at least one year of experience in each of the following areas:
- Building and deploying components of an enterprise search tool.
- Configuring, rolling out, and documenting the Darwin AI inventory system.
- Implementing and testing AI agents aligned with business-unit needs.
- Developing technical controls, documentation, and processes needed to adopt AI governance.
Preferred Qualifications"
Preferred qualifications are not separately specified by the client. Candidates who can clearly demonstrate practical experience across enterprise search, AI inventory/monitoring, AI-agent delivery, and AI governance will be best aligned with this role.
Additional InformationWork Model
This is a hybrid position requiring a combination of on-site work and telework.
Primary work location:
5805 N. Lamar Blvd
Austin, TX 78752
The expected work schedule is Monday through Friday, 8:00 AM–5:00 PM Central Time, excluding State holidays when DPS is closed. The specific on-site versus telework schedule is determined by the client.
Candidates must be able to work from the Austin-area location as required. Travel, parking, per diem, and living expenses are the responsibility of the candidate and/or vendor unless travel is specifically approved in writing by the client.
All your information will be kept confidential according to EEO guidelines.
All your information will be kept confidential according to EEO guidelines.
Skills Required
- Building and deploying components of an enterprise search tool
- Configuring, rolling out, and documenting the Darwin AI inventory system
- Implementing and testing AI agents aligned with business-unit needs
- Developing technical controls, documentation, and processes for AI governance
- At least one year of experience in each of the listed areas
- Ability to work on a hybrid schedule and be able to work from the Austin-area location as required
RESPEC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RESPEC and has not been reviewed or approved by RESPEC.
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Retirement Support — - Retirement Support: Retirement benefits are positioned as a meaningful part of total rewards through the combination of an ESOP and a 401(k). Long-term wealth-building potential is emphasized as a differentiator versus base-salary-only comparisons.
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Healthcare Strength — - Healthcare Strength: Core medical, dental, and vision coverage is presented as a standard, comprehensive foundation. Additional protection coverage (life and disability) is also included, strengthening the overall benefits stack.
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Fair & Transparent Compensation — - Fair & Transparent Compensation: Pay is characterized as generally fair-to-good when viewed across roles and in combination with total rewards. Clear salary ranges appearing in some job postings further support expectations-setting for certain positions.
RESPEC Insights
What We Do
In a world where one superhero can handle almost any problem, our entire team of award-winning technology experts is on a mission to make your business better. With extra vision to see solutions that others can’t and vast knowledge to bridge the gaps that others don’t, we’re transformers with the know-how to solve the world’s hardest problems. At RESPEC, we thrive on technology and making our clients successful. This is why we do what we do. From the depths of a cavern to the heights of a volcano, from an antiquated computer system to a business in dire need of re-engineering, our technical and business experts find solutions for extreme situations... like the time we cleansed and migrated 100 million rows of legacy data or the time we protected Mt. Rushmore. Know-How is Everything. We use our resourcefulness and vast experience to solve problems. It’s called know-how. And when you have it, problems aren’t problems at all. Know-how defines the core of who we are. It is how our clients see us. Know-how speaks to ingenuity, aptitude, and skill—it is not merely knowledge; it is knowledge on how to get things done. Imagine having access to a think tank with hundreds of diversely talented engineers, scientists, programmers, and developers under one roof—that’s RESPEC. Each team member is highly trained and skilled in understanding and applying the laws of a specific universe to solve any kind of problem. That’s why we have to talk about our team in terms of superheroes.
