What are the responsibilities and job description for the AI Engineer I (Contractor) - 40526R0024893 position at RESPEC, LLC?
Company Description
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 Description
RESPEC 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:
Qualifications
Required Technical Experience
Candidates must demonstrate at least one year of experience in each of the following areas:
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 Information
Work 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.
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 Description
RESPEC 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.
Qualifications
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 Information
Work 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.