Artificial Intelligence Machine Learning Consultant for Texas DIR, Austin, Tx

Pedigo Staffing Services

Job Location:

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: 30 days ago

Vacancies: 1 Vacancy

Job Summary

Title: Artificial Intelligence / Machine Learning Consultant
Agency: Texas Department of Information Resources
Location: North Austin Texas 78758
Solicitation: RFR041FY26
Duration: On-going possibly four years
Contract Type: W2 with benefits
Visa requirements: US Citizen Greencard Holder EAD. No H1B
Telework Policy: Client site and telework hybrid

Required/Preferred Skill Sets:

8 years Required - Hands-on software engineering experience.
8 years Required - Expertise in modern cloud platforms.
8 years Required - trong proficiency in: TypeScript/JavaScript Python or C#; Modern UI frameworks (React Angular Web Components).
8 years Required - Experience with integrating APIs (LLMs internal services data platforms).
8 years Required - Experience with CI/CD platforms using GitHub Actions Azure DevOps or equivalent including building and deploying applications.
8 years Required - Experience with infrastructure as code and automating environments (e.g. Terraform ARM/Bicep or similar tools. Experience working directly with customers or frontline operational teams to build and improve solutions.
8 years Required - Extend tools like Salesforce Appian ServiceNow etc. Demonstrated success delivering systems end-to-end from design deploy.
8 years Required - Understanding of security frameworks (NIST Zero Trust TX-RAMP expectations).
8 years Required - Excellent communication and cross-functional collaboration skills.
8 years Required - Ability to decide when NOT to use low-code.
8 years Required - Ability to identify high-value use cases and ability to observe workflows.
8 years Required - Bachelors degree in Computer Science Engineering or related field OR Equivalent experience (10 years) in hands-on modern engineering roles.
8 years Preferred - Experience in state government regulated environments or multi-agency integration projects.
8 years Preferred - Prior FDE or technical field engineering experience at a software platform company.
8 years Preferred - Experience designing evaluating or implementing AI-enabled workflows using commercial open-source or government-approved LLM platforms including patterns such as retrieval-augmented generation agentic workflows model . next line...
8 years Preferred - prompt management human-in-the-loop review and responsible AI controls. Experience with shared technical services or modernization programs (e.g. TSS/MSI) .
8 years Preferred - Experience producing reusable components design systems developer tooling.
8 years Preferred - Ability to compare AI/LLM options using objective criteria such as data sensitivity hosting model latency cost accuracy explainability auditability security controls integration complexity and operational sustainability.
8 years Preferred - CISSP CCSP or CISM
8 years Preferred - Kubernetes certifications (CKA/CKAD)
8 years Preferred - TOGAF or architecture certifications
8 years Preferred - Scrum Master or SAFe Agile certs
6 years Preferred - TX-RAMP knowledge or auditor training
1 years Preferred - Cloud architecture DevOps AI security or Kubernetes certifications from one or more major providers such as Azure AWS Google Cloud Kubernetes HashiCorp ISC2 ISACA or equivalent.

The Forward Deployed Engineer (FDE) works directly with DIR and partner agencies to rapidly design build deploy and iterate modern digital solutionsoften working onsite or embedded with mission teams. The FDE combines hands-on engineering problem solving rapid prototyping and production deployment to accelerate modernization and reduce dependency on legacy integrator models.

FDE bridges gaps between product teams security business units and cloud engineering
FDE should apply platform-agnostic engineering practices and evaluate AI/LLM capabilities based on business need security requirements data classification interoperability sustainability and total cost of ownership rather than defaulting to a single cloud model or vendor ecosystem.
Provides FDE methodology and best practices to DIR staff for knowledge transfer sessions and skill growth. Supports IT and other AI initiative at DIR.

This role is intended to bring advanced forward-looking technical capability to DIR and partner agencies while remaining flexible platform-agnostic and outcomes-focused.

The consultant should be able to work at the intersection of modern software engineering cloud-native architecture AI-enabled development automation security and agency mission delivery.
Rather than prescribing a specific cloud platform LLM provider or toolchain the role should emphasize the ability to evaluate technologies based on business need security posture data sensitivity interoperability cost operational maturity and long-term sustainability.
The ideal candidate should help DIR and agencies understand what is possible with modern technology translate emerging capabilities into practical delivery patterns and coach internal teams on how to adopt those capabilities responsibly.
This includes helping teams turn ambiguous problems into practical AI-enabled workflows while exploring AI automation APIs integration patterns DevSecOps and reusable components.
Focus on rapid prototyping and delivering value without assuming any single vendor or solution is always the right fit.
The goal is to raise technical fluency accelerate modernization and build internal capability while preserving architectural flexibility.
The role should be aspirational in terms of skill level and innovation but not overly prescriptive in terms of specific products platforms or implementation methods.

Deliverables

Production-ready code pipelines infrastructure templates and documentation.
Architecture diagrams operational runbooks and security compliance mappings.
AI-assisted development workflows and accelerators.
Knowledge transfer sessions and training for agency development staff.

Key Responsibilities

Deliver high-quality application Application Programming Interface (API) Model Context Protocol (MCP) and automation components using cloud-native architectures.
Develop rapid prototypes pilots and production systems using modern engineering patterns.
Integrate systems across agencies using secure scalable human-in-the-loop workflows.
Implement DevSecOps automation (CI/CD IaC container orchestration cloud pipelines).
Collaborate directly with agency stakeholders to gather requirements and convert them into working software.
Deploy AI-enabled development workflows and LLM-assisted capabilities.
Troubleshoot complex production issues and lead root-cause analysis.
Mentor agency developers maturing internal capability and reducing vendor reliance.
Provide documentation architectural guidance and knowledge transfer.
Rapidly build AI-powered tools using existing systems and create new applications where needed to move from experimentation to real impact.
Comfort working across cloud environments and internal enterprise systems.

Debbie Pedigo
CEO / Senior Staffing Consultant

512.256.5434
210.401.4501

Pedigo Staffing Services

Cooperative Contracts:
DIR ITSAC (Department of Information) IT Staffing #DIR-CPO-5738
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TIPS (Texas Interlocal Purchasing System) Technology Services #240101
BuyBoard Temporary Staffing #774-25
State of Louisiana IT Staffing #CW8873
State of Oklahoma IT Staffing #SW1025
State of Oklahoma Staffing #0132

Required Experience:

Contract

Title: Artificial Intelligence / Machine Learning ConsultantAgency: Texas Department of Information ResourcesLocation: North Austin Texas 78758Solicitation: RFR041FY26Duration: On-going possibly four yearsContract Type: W2 with benefitsVisa requirements: US Citizen Greencard Holder EAD. No H1BTelewo...

8 years Required - Hands-on software engineering experience.
8 years Required - Expertise in modern cloud platforms.
8 years Required - trong proficiency in: TypeScript/JavaScript Python or C#; Modern UI frameworks (React Angular Web Components).
8 years Required - Experience with integrating APIs (LLMs internal services data platforms).
8 years Required - Experience with CI/CD platforms using GitHub Actions Azure DevOps or equivalent including building and deploying applications.
8 years Required - Experience with infrastructure as code and automating environments (e.g. Terraform ARM/Bicep or similar tools. Experience working directly with customers or frontline operational teams to build and improve solutions.
8 years Required - Extend tools like Salesforce Appian ServiceNow etc. Demonstrated success delivering systems end-to-end from design deploy.
8 years Required - Understanding of security frameworks (NIST Zero Trust TX-RAMP expectations).
8 years Required - Excellent communication and cross-functional collaboration skills.
8 years Required - Ability to decide when NOT to use low-code.
8 years Required - Ability to identify high-value use cases and ability to observe workflows.
8 years Required - Bachelors degree in Computer Science Engineering or related field OR Equivalent experience (10 years) in hands-on modern engineering roles.
8 years Preferred - Experience in state government regulated environments or multi-agency integration projects.
8 years Preferred - Prior FDE or technical field engineering experience at a software platform company.
8 years Preferred - Experience designing evaluating or implementing AI-enabled workflows using commercial open-source or government-approved LLM platforms including patterns such as retrieval-augmented generation agentic workflows model . next line...
8 years Preferred - prompt management human-in-the-loop review and responsible AI controls. Experience with shared technical services or modernization programs (e.g. TSS/MSI) .
8 years Preferred - Experience producing reusable components design systems developer tooling.
8 years Preferred - Ability to compare AI/LLM options using objective criteria such as data sensitivity hosting model latency cost accuracy explainability auditability security controls integration complexity and operational sustainability.
8 years Preferred - CISSP CCSP or CISM
8 years Preferred - Kubernetes certifications (CKA/CKAD)
8 years Preferred - TOGAF or architecture certifications
8 years Preferred - Scrum Master or SAFe Agile certs
6 years Preferred - TX-RAMP knowledge or auditor training
1 years Preferred - Cloud architecture DevOps AI security or Kubernetes certifications from one or more major providers such as Azure AWS Google Cloud Kubernetes HashiCorp ISC2 ISACA or equivalent.

FDE bridges gaps between product teams security business units and cloud engineering
FDE should apply platform-agnostic engineering practices and evaluate AI/LLM capabilities based on business need security requirements data classification interoperability sustainability and total cost of ownership rather than defaulting to a single cloud model or vendor ecosystem.
Provides FDE methodology and best practices to DIR staff for knowledge transfer sessions and skill growth. Supports IT and other AI initiative at DIR.

This role is intended to bring advanced forward-looking technical capability to DIR and partner agencies while remaining flexible platform-agnostic and outcomes-focused.

The consultant should be able to work at the intersection of modern software engineering cloud-native architecture AI-enabled development automation security and agency mission delivery.
Rather than prescribing a specific cloud platform LLM provider or toolchain the role should emphasize the ability to evaluate technologies based on business need security posture data sensitivity interoperability cost operational maturity and long-term sustainability.
The ideal candidate should help DIR and agencies understand what is possible with modern technology translate emerging capabilities into practical delivery patterns and coach internal teams on how to adopt those capabilities responsibly.
This includes helping teams turn ambiguous problems into practical AI-enabled workflows while exploring AI automation APIs integration patterns DevSecOps and reusable components.
Focus on rapid prototyping and delivering value without assuming any single vendor or solution is always the right fit.
The goal is to raise technical fluency accelerate modernization and build internal capability while preserving architectural flexibility.
The role should be aspirational in terms of skill level and innovation but not overly prescriptive in terms of specific products platforms or implementation methods.

Deliverables

Production-ready code pipelines infrastructure templates and documentation.
Architecture diagrams operational runbooks and security compliance mappings.
AI-assisted development workflows and accelerators.
Knowledge transfer sessions and training for agency development staff.

Key Responsibilities

Deliver high-quality application Application Programming Interface (API) Model Context Protocol (MCP) and automation components using cloud-native architectures.
Develop rapid prototypes pilots and production systems using modern engineering patterns.
Integrate systems across agencies using secure scalable human-in-the-loop workflows.
Implement DevSecOps automation (CI/CD IaC container orchestration cloud pipelines).
Collaborate directly with agency stakeholders to gather requirements and convert them into working software.
Deploy AI-enabled development workflows and LLM-assisted capabilities.
Troubleshoot complex production issues and lead root-cause analysis.
Mentor agency developers maturing internal capability and reducing vendor reliance.
Provide documentation architectural guidance and knowledge transfer.
Rapidly build AI-powered tools using existing systems and create new applications where needed to move from experimentation to real impact.
Comfort working across cloud environments and internal enterprise systems.