AI Engineer Jobs in Irving, TX
AI Engineer jobs in Irving, Texas are in strong demand, concentrated in the Las Colinas Urban Center, the Freeport business corridor, and the DFW Airport area, with openings in financial technology, telecommunications, and enterprise software. Top employers hiring right now include Logic, Verizon, and Information Technology Senior Management Forum. See the openings below and apply to the ones that match your experience.
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Role: Senior Azure AI Document Intelligence Engineer (OCR Experience)
We are seeking a Senior Azure AI Document Intelligence Engineer responsible for designing, training, and optimizing AI-powered contract and invoice OCR solutions using Azure AI Document Intelligence, Azure Databricks, Azure Machine Learning, MLflow, Azure AI Search, OpenAI/GenAI, Python, and SQL, driving 98-99%+ extraction accuracy across complex supply-chain and procurement documents through advanced machine learning, document classification, validation frameworks, and intelligent automation.
Roles and Responsibilities:
Analyse invoice and contract variations across suppliers, countries, languages, formats, and scan-quality levels. Define the document taxonomy and extraction schema for: Invoice headers Contract metadata Purchase-order references
Supplier and customer information Dates, currencies, taxes, discounts, and totals Payment terms, renewal dates, obligations, and termination clauses Tables and invoice line items
Evaluate Azure AI Document Intelligence prebuilt invoice, layout, custom neural, custom template, classification, and composed-model capabilities.
Build and train custom document classifiers and extraction models. Prepare, label, clean, balance, and version training and evaluation datasets.
Implement document preprocessing for rotation, skew, noise, resolution, page separation, and scan-quality issues.
Develop confidence-scoring and validation strategies using field-level and OCR-level confidence signals. Implement deterministic validation rules, including Subtotal, tax, and total reconciliation Currency and date validation Purchase-order and supplier matching Duplicate-document detection
Required-field and cross-field consistency checks Establish confidence thresholds and human-review rules for uncertain extractions. Perform error analysis by document type, supplier, field, language, and scan quality.
Create automated evaluation pipelines reporting exact-match accuracy, precision, recall, F1 score, false-positive rates, and false-negative rates.
Monitor model drift and retrain models when document formats or business requirements change. Document model versions, training data, experiments, limitations, and release decisions. Collaborate with supply-chain, procurement, accounts-payable, legal, and engineering teams.
Experience: -Min 10+ Years
Location: - Irving, TX (Hybrid 3 days' Work from Office)
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Min 4+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing. Hands-on experience with Azure AI Document Intelligence or a comparable enterprise document-processing platform.
Strong Python development skills. Experience with REST APIs, JSON, Azure SDKs, and asynchronous processing. Experience training and evaluating document classification and field-extraction models. Strong understanding of accuracy, precision, recall, F1 score, confidence calibration, and test-set design.
Experience extracting complex tables and variable-length line items. Experience creating labelled datasets and maintaining data-quality standards. Familiarity with invoices, purchase orders, contracts, or supply-chain documents.
Strong analytical, debugging, and technical-documentation skills. Preferred Qualifications Experience with Azure Machine Learning, MLflow, Azure AI Search, or Azure OpenAI. Experience with multilingual documents.
Familiarity with contract clause extraction and legal-document processing. Knowledge of ERP or procurement systems such as SAP, Oracle, Dynamics 365, Coupa, or Ariba. Experience implementing active learning, model-drift monitoring, and human-in-the-loop workflows. Knowledge of data privacy and document-retention requirements.
Success Measures 99% exact-match accuracy for approved critical fields. 98% exact-match accuracy across all agreed fields. Accuracy maintained across suppliers, formats, and document-quality categories.
Measurable reduction in manual corrections and review time. Documented improvement process for fields that miss their thresholds. No production model deployed without passing the approved evaluation suite.
Skills
Azure (Bigdata Azure) Azure AI Document Intelligence, Azure Databricks, OpenAI, GenAI, Azure Machine Learning, MLflow, Azure AI Search SQL, Contract and Invoice OCR
VeeRteq Solutions is an Equal Opportunity Employer
Role: Senior Azure AI Document Intelligence Engineer (OCR Experience)
We are seeking a Senior Azure AI Document Intelligence Engineer responsible for designing, training, and optimizing AI-powered contract and invoice OCR solutions using Azure AI Document Intelligence, Azure Databricks, Azure Machine Learning, MLflow, Azure AI Search, OpenAI/GenAI, Python, and SQL, driving 98-99%+ extraction accuracy across complex supply-chain and procurement documents through advanced machine learning, document classification, validation frameworks, and intelligent automation.
Roles and Responsibilities:
Analyse invoice and contract variations across suppliers, countries, languages, formats, and scan-quality levels. Define the document taxonomy and extraction schema for: Invoice headers Contract metadata Purchase-order references
Supplier and customer information Dates, currencies, taxes, discounts, and totals Payment terms, renewal dates, obligations, and termination clauses Tables and invoice line items
Evaluate Azure AI Document Intelligence prebuilt invoice, layout, custom neural, custom template, classification, and composed-model capabilities.
Build and train custom document classifiers and extraction models. Prepare, label, clean, balance, and version training and evaluation datasets.
Implement document preprocessing for rotation, skew, noise, resolution, page separation, and scan-quality issues.
Develop confidence-scoring and validation strategies using field-level and OCR-level confidence signals. Implement deterministic validation rules, including Subtotal, tax, and total reconciliation Currency and date validation Purchase-order and supplier matching Duplicate-document detection
Required-field and cross-field consistency checks Establish confidence thresholds and human-review rules for uncertain extractions. Perform error analysis by document type, supplier, field, language, and scan quality.
Create automated evaluation pipelines reporting exact-match accuracy, precision, recall, F1 score, false-positive rates, and false-negative rates.
Monitor model drift and retrain models when document formats or business requirements change. Document model versions, training data, experiments, limitations, and release decisions. Collaborate with supply-chain, procurement, accounts-payable, legal, and engineering teams.
Experience: -Min 10+ Years
Location: - Irving, TX (Hybrid 3 days' Work from Office)
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Min 4+ years of experience in machine learning, OCR, computer vision, NLP, or intelligent document processing. Hands-on experience with Azure AI Document Intelligence or a comparable enterprise document-processing platform.
Strong Python development skills. Experience with REST APIs, JSON, Azure SDKs, and asynchronous processing. Experience training and evaluating document classification and field-extraction models. Strong understanding of accuracy, precision, recall, F1 score, confidence calibration, and test-set design.
Experience extracting complex tables and variable-length line items. Experience creating labelled datasets and maintaining data-quality standards. Familiarity with invoices, purchase orders, contracts, or supply-chain documents.
Strong analytical, debugging, and technical-documentation skills. Preferred Qualifications Experience with Azure Machine Learning, MLflow, Azure AI Search, or Azure OpenAI. Experience with multilingual documents.
Familiarity with contract clause extraction and legal-document processing. Knowledge of ERP or procurement systems such as SAP, Oracle, Dynamics 365, Coupa, or Ariba. Experience implementing active learning, model-drift monitoring, and human-in-the-loop workflows. Knowledge of data privacy and document-retention requirements.
Success Measures 99% exact-match accuracy for approved critical fields. 98% exact-match accuracy across all agreed fields. Accuracy maintained across suppliers, formats, and document-quality categories.
Measurable reduction in manual corrections and review time. Documented improvement process for fields that miss their thresholds. No production model deployed without passing the approved evaluation suite.
Skills
Azure (Bigdata Azure) Azure AI Document Intelligence, Azure Databricks, OpenAI, GenAI, Azure Machine Learning, MLflow, Azure AI Search SQL, Contract and Invoice OCR
VeeRteq Solutions is an Equal Opportunity Employer
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Find AI Engineer JobsAI Engineer Job Market in Irving
Who's Hiring
- Logic54
- Verizon41
- Information Technology Senior Management Forum41
- Citi27
- McKesson27
Top Industries Hiring
- Technology & Software14
- Banking & Financial Services14
- Consulting & Professional Services14
AI Engineer Jobs in Irving: Frequently Asked Questions
How do I get a ai engineer job in Irving?
Targeting Irving's core hiring sectors is the fastest path: financial technology firms in Las Colinas, telecom companies along State Highway 114, and enterprise software shops in the Freeport corridor post the most ai engineer roles. Candidates who demonstrate hands-on experience with large language models, MLOps pipelines, or production deployment stand out. Networking through the DFW AI and machine learning meetup community also opens doors that job boards alone don't.
Which companies hire ai engineers in Irving?
Irving ai engineer roles are posted by Logic, Verizon, and Information Technology Senior Management Forum and others right now, based on current listings on Migrate Mate as of September 2026. Irving's employer mix skews toward large financial services firms, regional telecom operations, and technology services companies with significant back-office and data infrastructure footprints in Las Colinas.
Are there remote ai engineer jobs in Irving?
Yes, and ai engineering is among the more remote-compatible technical disciplines since the work centers on code, models, and data rather than physical equipment. About 88% of ai engineer openings tied to Irving are remote or hybrid as of September 2026, which is above the average for technical roles in the market. Model development, fine-tuning, and evaluation tasks tend to be the most fully remote, while on-site work is more common for roles requiring direct integration with proprietary infrastructure.
How can I get a ai engineer job in Irving with little or no experience?
The most realistic entry path in Irving is through ai or data analyst roles at the fintech and insurance firms based in Las Colinas, which regularly hire for junior positions and promote internally into applied ai work. Building a portfolio of deployed projects, contributing to open-source machine learning repositories, and earning cloud certifications from providers like AWS or Azure signal readiness to Irving employers who often prioritize demonstrated output over credentials alone.
Which industries hire the most ai engineers in Irving?
Irving ai engineer roles concentrate in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. Irving's position as a regional hub for financial services back-office operations, large telecom infrastructure, and enterprise IT services creates steady demand for ai engineers who can build and maintain production-grade systems at scale.
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