Irving, TX

Engineer Jobs in Irving, TX

23 jobs found

Include remote jobs

Today

Lead Agentic AI Engineer

Citi Irving, TX

Irving, TX

Today

$126k - $189k/yr Full time Agentic Ai Agentic Ai Orchestration Ai Agent

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Job Description

Citi is seeking a Lead Agentic AI Engineer to design, develop, and integrate Generative AI and agentic AI solutions for the Controls Technology platform. The role focuses on building robust agentic applications on top of pre-trained or hosted foundation models, with emphasis on reliability, provenance, and token-efficient context handling. This position is based in Irving, TX on an onsite basis.

The Lead Agentic AI Engineer will partner with AI architects, leads, and stakeholders to turn business challenges into production-ready generative and agentic systems, including advanced context engineering, RAG, knowledge graphs, and multi-agent orchestration. The work also includes integration into production environments, ongoing optimization for real-time and streaming use cases, and mentoring across the engineering team.

Responsibilities

Collaborate with AI architects, leads, and stakeholders to design and implement generative and agentic AI solutions that address business challenges.
Architect advanced context engineering strategies, including context layering, chaining, compression, pruning/offloading, and memory management to improve reliability, provenance, and token efficiency in production.
Design and implement advanced generative AI methods, including sophisticated prompt engineering and Retrieval-Augmented Generation (RAG).
Build and optimize RAG systems, including hybrid search, multi-vector retrieval, and re-ranking pipelines.
Design and implement knowledge graphs and Graph RAG architectures to support multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains.
Architect agentic workflows and multi-agent systems using Google Agent Development Kit (ADK) and comparable frameworks such as LangGraph, Microsoft Agent Framework, and CrewAI, applying orchestration patterns including supervisor/worker, hierarchical, and peer-to-peer.
Design robust agent harnesses, including governance, constraints, feedback loops, state/session management, and execution controls for reliable and safe long-running agents.
Integrate agents with tools and data via Model Context Protocol (MCP) and coordinate inter-agent collaboration and task delegation through Agent2Agent (A2A).
Support production integration for GenAI and agentic applications, ensuring robust deployment, scalability, observability, and maintainability.
Contribute to development and optimization of real-time and streaming AI solutions.
Stay current with latest advances in generative and agentic AI and share knowledge with the team.
Ensure adherence to ethical AI guidelines, guardrails, agent isolation/sandboxing, data privacy, and compliance standards.
Mentor junior team members, provide code reviews, and support a culture of technical excellence.

Requirements

Deep, hands-on expertise in core generative AI concepts, including foundation models, LLMs, embeddings, tokenization, and context-window management.
Advanced skills in prompt engineering and context engineering, including familiarity with prompt design tools/frameworks and dynamic context orchestration.
Strong experience building RAG systems, including chunking strategies, hybrid search, and multi-vector retrieval.
Practical experience designing knowledge graphs and Graph RAG pipelines (for example, using Neo4j or ArangoDB) for relationship-aware, multi-hop retrieval.
Proven experience building agentic AI systems with Google ADK and/or comparable frameworks such as LangGraph, Microsoft Agent Framework, CrewAI, and OpenAI Agents SDK, including tool/function calling, planning, and memory.
Strong grasp of multi-agent orchestration patterns (supervisor/worker, hierarchical, peer-to-peer) and harness engineering (governance, feedback loops, execution controls, agent isolation/sandboxing).
Hands-on experience with agent interoperability protocols, including MCP for tool/data access and A2A for inter-agent collaboration.
Experience with agent observability and evaluation (for example, tracing and OpenTelemetry-based tooling) for production systems.
Proficiency with major GenAI APIs including OpenAI, Gemini, Claude, and orchestration frameworks such as LangChain and LlamaIndex.
Strong skills in NLP (NER, dependency parsing, text classification, topic modeling).
Proficiency with vector databases and embedding models for large-scale retrieval.
Experience with Docker, Kubernetes, and CI/CD pipelines for AI/agentic applications.
Solid understanding of AI compliance, guardrails, and responsible AI practices.
Strong skills in Python and experience with data preprocessing, document ingestion, and API development.
Strong collaboration skills to work effectively in cross-functional teams.
Analytical and proactive approach to problem-solving.
Clear communication skills for both technical and non-technical audiences.
Eagerness to learn, innovate, and mentor less experienced developers.
Bachelor’s or master’s degree in Computer Science, Data Science, AI, or a related field.
5 to 7 years of experience in AI/software development, including significant experience in Generative AI and agentic AI.
Demonstrated portfolio of successful AI-driven projects in a business environment.
Experience working with AWS (or equivalent) cloud infrastructure for AI/GenAI.

Technologies

Google Agent Development Kit (ADK), LangGraph, Microsoft Agent Framework, CrewAI
Prompt engineering, Retrieval-Augmented Generation (RAG), context engineering
Knowledge graphs, Graph RAG
Model Context Protocol (MCP), Agent2Agent (A2A)
OpenTelemetry, LangChain, LlamaIndex, OpenAI Agents SDK
OpenAI, Gemini, Claude
Neo4j, ArangoDB, vector databases
Docker, Kubernetes, CI/CD
Python, AWS, embeddings, LLMs

Compensation and Logistics

Employment type: Full time
Location: Irving, Texas, United States (onsite)
Salary: USD 125,760 - 188,640 per year
Job family: Technology
Job family group: Applications Development
Anticipated posting close date: Sep 24, 2026

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Planned time off (vacation)
Unplanned time off (sick leave)
Paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)

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1d ago

Lead Data Engineer - Data Scientist

Wells Fargo Irving, TX

Irving, TX

1d ago

$119k - $206k/yr Full time Manager Analytics Artificial Intelligence

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Job Description

Lead data engineering and AI/ML delivery in Cybersecurity within Identity Access Management, turning identity event analytics into safer access governance and anomaly detection.

Responsibilities

Lead complex initiatives with broad impact; contribute as a key participant in large scale software planning for Identity and Access Management
Design, develop, and run tooling to discover issues in data and applications; escalate findings to engineering and product leadership
Apply statistical and data science methods to Identity and Access Management business problems
Act as a subject matter expert on ML, AI, and mathematical and statistical techniques applied to large datasets
Design, support, and operate data pipelines, data models, dashboards, and API integrations for real-time and batch analytics
Design and conduct experiments, statistical analyses, and hypothesis testing to evaluate proposals supporting controls, policies, and operational processes
Build AI capabilities to identify inappropriate access, recommend entitlements prior to user requests, and detect anomalous behavior across millions of identity events
Lead IAM team members and coordinate with operations, onboarding, initiatives, engineering teams, and lines of business and lines of defense to translate analytical needs into technical solutions
Establish and implement engineering and analytical best practices for solution development
Develop solutions in alignment with security, privacy, model risk, and regulatory guidelines
Develop, test, deploy, and support ML-enabled analytical solutions; guide teammates in ML, AI, and statistical techniques to drive AI/ML adoption across IAM
Assist with monitoring model health, reliability, and drift to enable continuous improvement and required remediation
Demonstrate proficiency with AI-assisted development and analysis tools, including GitHub Copilot and approved code-centric agents
Use AI to accelerate system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs using strong technical judgment, accounting for model limitations, security risks, and operational considerations
Apply AI responsibly in development and production environments, ensuring alignment with security, compliance, privacy, and ethical standards

Requirements

5+ years of Database Engineering experience, or equivalent demonstrated through a combination of work experience, training, military experience, and education
5+ years of experience with Python data science libraries including Pandas, NumPy, and Scikit-Learn, plus exposure to a deep learning framework such as TensorFlow or PyTorch

Technologies

Python, Pandas, NumPy, Scikit-Learn
TensorFlow, PyTorch
Vertex AI, GCP, BigQuery
Neo4j
GitHub
Power BI, Tableau, Alteryx
GitHub Copilot, Claude Code, Cursor, Devin

Benefits

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

Desired Qualifications

Knowledge of Vertex AI and GCP environments, BigQuery, and deploying models into production on these platforms
Knowledge of graph networks for anomaly detection (Neo4j)
Learning mindset to stay current with developments in the field
Knowledge of GitHub for code management and familiarity with Power BI, Tableau, and Alteryx
Understanding of software engineering fundamentals such as testing, debugging, and code reviews (highly desirable)
Knowledge of the mathematical foundations of statistics, machine learning, and modern AI techniques
Strong understanding of model evaluation techniques for classification and clustering, including precision, accuracy, F1-scores, confusion matrices, and ROC curves
Comfort with AI coding agents (GitHub Copilot, Claude Code, Cursor, Devin or others) and ability to critically examine AI code for fitness for use
Familiarity with LLMs, RAG, and AI agents
Strong SQL skills and ability to work with relational and analytical databases
Strong book-of-work management and organizational skills
Hands-on ability to manipulate data and tools to prototype and present solutions
Confident, self-motivated producer of original ideas and solutions with sound judgment for when to escalate issues
Strong written and verbal communication and excellent presentation skills, including ability to communicate complex technical concepts
Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Engineering, or related field

Location and Work Model

Irving, TX (onsite)

Compensation

Salary range: $119,000 - $206,000 per year

Posting Notes

Job posting may come down early due to volume of applicants
Required location(s) listed; relocation assistance is not available
Salary range is determined by location of the job; may be considered for discretionary bonus, Restricted Share Rights, or other long-term incentive awards
Not eligible for visa sponsorship
Role is not eligible for 100% remote work

Posting end date: 22 Sep 2026

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20d ago

Software Engineer II - Integration Engineering / iPaaS

7-Eleven Irving, TX

Irving, TX

20d ago

Full time APIs Data Integration Integration

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Job Description

Lead daily in-store Quick Serve Restaurant (QSR) operations with a focus on compliance, profitability, inventory accuracy, and team development.

Responsibilities

Direct day-to-day fresh food service operations while maintaining adherence to health standards, company policies, and safety regulations to support a strong customer experience
Improve sales growth and profitability by managing food programs, reviewing financial data, controlling costs, and executing merchandising initiatives
Own inventory management and vendor relationships to maintain 100% in-stock efficiency on top-selling items and ensure accurate order fulfillment
Recruit, coach, and develop a high-performing team by providing hands-on leadership and fostering a culture where team members are recognized
Oversee food preparation and quality standards, including equipment maintenance, to deliver consistent performance across customer interactions
Create and manage work schedules, provide coverage as needed, and respond promptly to safety incidents or operational challenges

Requirements

High school diploma or GED and 1+ year of food service, QSR, or casual fast food prep leadership experience
Ability to obtain and maintain the locally required safe food handling certification
Demonstrated leadership capability with a record of developing team members and delivering exceptional customer service
Business mindset, with the ability to leverage P&L statements and restaurant reports to identify opportunities and drive improvement
Strong written and verbal communication skills to engage customers, coach employees, and partner with vendors
Proficiency with Microsoft Office and point-of-sale systems; physical ability to stand, walk, and lift up to 50 pounds in a dynamic work environment

Technologies

Microsoft Office
Point-of-sale (POS) systems

Location and Work Setup

Irving, TX (onsite)

Why You'll Love It Here

Contribute at a company that values innovation, operational excellence, and community impact
Develop leadership skills in a supportive environment that invests in professional development
Work with teams focused on quality food service and memorable customer experiences
Shape daily restaurant culture and make a measurable impact on operations

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22d ago

Machine Learning Engineer II

7-Eleven Irving, TX

Irving, TX

22d ago

Full time Ai Ml Artificial Intelligence Azure Data Factory

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Job Description

Work onsite in Irving, TX to design, develop, and deploy scalable machine learning solutions that turn store telemetry and large datasets into actionable insights.

Responsibilities

Design, develop, test, and deploy machine learning models and data-driven solutions focused on converting store equipment telemetry data into actionable insights.
Build and optimize scalable data pipelines in enterprise environments using Python, PySpark, and Azure-based technologies.
Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives.
Collaborate with data engineers, data scientists, product owners, and business stakeholders to translate business requirements into technical solutions.
Develop, evaluate, and tune machine learning models using appropriate algorithms and statistical techniques.
Apply MLOps best practices for model deployment, monitoring, and lifecycle management.
Create visualizations, dashboards, and presentations to communicate insights to both technical and non-technical audiences.
Participate in code reviews, technical design discussions, and continuous improvement initiatives.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
5+ years of experience delivering big data and machine learning solutions in enterprise environments.
Strong programming experience in Python and PySpark.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Git, and Azure DevOps.
Experience building, training, validating, and deploying machine learning models.
Solid understanding of data structures, algorithms, software engineering principles, and distributed computing concepts.
Experience working with large-scale datasets and cloud-native architectures.
Strong analytical, problem-solving, and communication skills.

Technologies

Python
PySpark
Azure, Azure Databricks
Azure Data Factory (ADF)
Azure Kubernetes Service (AKS)
Git, Azure DevOps
Power BI
Tableau

Preferred Qualifications

Experience deploying and operationalizing machine learning models in Azure Databricks.
Experience with MLOps frameworks and CI/CD pipelines for machine learning workloads.
Experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.
Experience working with equipment telemetry data or on equipment maintenance projects.
Knowledge of containerization technologies and cloud-native application development.

Machine Learning Expertise

Clustering and segmentation techniques.
Generalized Linear Models (GLM), Linear Regression, and Logistic Regression.
Decision Trees and Random Forests.
Gradient boosting techniques including XGBoost.
K-Nearest Neighbors (KNN).
Support Vector Machines (SVM).
Artificial Neural Networks (ANN) and deep learning concepts.
Model evaluation, feature engineering, hyperparameter tuning, and performance optimization.

Success Factors

Ability to work effectively in a fast-paced, collaborative environment.
Strong ownership mindset and commitment to delivering high-quality solutions.
Ability to communicate complex technical concepts to diverse stakeholder groups.
Passion for continuous learning and innovation in machine learning and cloud technologies.

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24d ago

Software Engineer

MCKESSON Irving, TX

Irving, TX

24d ago

$106k - $177k/yr Full time Backend Developer APIs Automation

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Job Description

McKesson is seeking a Service Operations Engineering (SOE) Cloud Architect to support McKesson Pharmacy Systems (MPS) and help shape cloud solutions for customer-critical SaaS offerings. In this onsite role in Irving, TX, you will design, develop, and implement scalable, secure, and resilient Microsoft Azure architectures while partnering with engineering, DevOps, and security teams to keep performance, cost-efficiency, and security aligned to business goals.

What you will do

Design and implement scalable, secure, and resilient cloud solutions on Microsoft Azure.
Lead cloud migration and modernization efforts for mission-critical SaaS applications.
Collaborate with engineering, DevOps, and security teams to improve platform performance, reliability, and operational efficiency.
Provide architectural guidance for Java-based applications, containerized workloads, and large-scale database environments.
Evaluate and recommend cloud technologies, automation strategies, and cloud best practices.
Support customer-facing technical discussions and resolve complex issues.
Establish and promote cloud governance, security, and compliance standards.
Contribute to adoption of AI-enabled tools and capabilities that improve engineering productivity and innovation.

Required qualifications

Degree or equivalent, typically requiring 4+ years of relevant experience.
4+ years designing, building, and implementing software business solutions on cloud platforms.
Experience with architectural techniques and implementations such as Services Oriented Architecture, loosely coupled design, composite application design, and cloud architecture.
Knowledge of non-functional cloud requirements including security, performance, scalability, maintainability (deployment), reliability, and supportability.
Experience in a customer-facing technical consultancy setting.
Strong verbal and written communication skills, with ability and willingness to create and maintain internal- and customer-facing technical and procedural documentation.
Familiarity with high-availability technologies and architectural techniques provided by the cloud.
Understanding of information security and risk management concepts, regulations, and certifications including disaster recovery, PHI, HIPAA, PCI, along with information security and system access control policies and processes.
Experience architecting cloud solutions on platforms such as Azure using technologies including AKS, Docker, Function Apps, Service Buses, Storage Accounts, etc.
Experience using AI-related tools such as CoPilot to accelerate application architecture and software design.

Technologies

Microsoft Azure, Java, AKS, Docker, Function Apps, Service Buses, Storage Accounts, Kubernetes, CI/CD pipelines
Oracle, Linux/Unix
Splunk, Dynatrace, Azure Monitor
Azure certifications
CoPilot

Preferred (not required)

Experience supporting healthcare, pharmacy, or other highly regulated technology environments.
Experience leading enterprise cloud migration and modernization initiatives.
Familiarity with AI-enabled development, architecture, or operational tools.
Azure certifications or other cloud architecture certifications.
Experience with large-scale SaaS platforms and complex production environments.
Knowledge of Agile delivery methodologies such as Scrum or Kanban.
Experience managing large-scale systems or operations projects.

Compensation and location

Location: Irving, TX (onsite)
Salary: USD 106,100 - 176,800 per year

Benefits

Medical, Dental, and Vision
Health Spending Accounts
Flexible Spending Accounts
401(k) (U.S.)
Pension (Canada)
Employee Stock Purchase Plan
Mental Health Programs
Flexible Schedules
Paid Time Off
Wellness Program
Education Reimbursement
Volunteer Opportunities
Flexible Work Environment

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1mo ago

Software Engineer

Groundworks Operations, LLC Irving, TX

Irving, TX

1mo ago Closed

$100k - $125k/yr Full time Backend Developer .NET Core Agile

This position is no longer accepting applications (closed Sep 12, 2026).

Job Description

Groundworks Operations, LLC is seeking a Senior Software Engineer to design, build, and optimize software systems, including RESTful APIs and full-stack web applications. This onsite role in Irving, TX supports scalable cloud-based delivery, with Agile collaboration across product, architecture, QA, and engineering.

Responsibilities

Design, develop, test, and maintain high-quality software solutions aligned to business and technical requirements.
Build scalable APIs, web applications, and backend services using modern engineering practices.
Work with Product Managers, Architects, QA Engineers, and developers across the software development lifecycle.
Participate in Agile ceremonies such as sprint planning, backlog refinement, daily stand-ups, retrospectives, and release planning.
Convert user stories into well-designed, maintainable software solutions.
Apply best practices including clean code, modular design, secure development, and automated testing.
Participate in code reviews and incorporate feedback to improve code quality.
Troubleshoot production issues, resolve defects, and support system reliability and operational excellence.
Contribute to application modernization and technical debt reduction efforts.
Implement secure authentication, authorization, and data protection practices.
Support application monitoring, logging, alerting, and performance optimization.
Continuously expand technical knowledge through learning new technologies, frameworks, and engineering practices.
Collaborate with engineering and business partners to deliver measurable business value.

Required Skills and Qualifications

Ability to contribute effectively within a high-performing Agile engineering team.
Capability to work independently on assigned features while seeking guidance when appropriate.
Ownership and accountability for delivering high-quality solutions.
Effective collaboration with engineers, Product Managers, QA, and UX partners.
Strong problem-solving and analytical skills.
High emotional intelligence and a collaborative mindset.
Comfort working in a fast-paced, evolving environment.
Demonstrates integrity, professionalism, and accountability.
Passion for continuous learning and improving technical skills.
Makes technical decisions that balance business value, maintainability, and engineering best practices.
Ability to write clean, maintainable, and well-documented code.
Strong understanding of object-oriented programming principles and design patterns.
Experience developing modern full-stack web applications.
Understanding of Test-Driven Development (TDD) and automated testing practices.
Participation in Agile planning, backlog refinement, sprint planning, and retrospectives.
Experience collaborating via code reviews, pair programming, and knowledge sharing.
Contributes to user story refinement and implementation planning.
Knowledge of modern software architecture principles, including modular design and API-first development.
Experience integrating RESTful APIs and backend services.
Familiarity with CI/CD pipelines and DevOps practices.
Understanding of application security fundamentals and secure coding practices.
Experience troubleshooting application issues and resolving defects.
Strong verbal and written communication skills with stakeholders and cross-functional teams.
Focus on continuously improving code quality, performance, and maintainability.
Contributes to reducing technical debt and improving engineering practices.

Technology Stack

Agile
RESTful APIs
Angular
Microsoft Azure
.NET / .NET Core
SQL Server
Azure DevOps
CI/CD
Terraform
Logging, monitoring, and observability tools
Infrastructure as Code

Benefits

Competitive Pay
Employee Company Ownership Opportunities
Industry Leading Training Programs
Leadership Development and Career Growth Tracks
Comprehensive and Affordable Benefits Package
Top Workplace with Award Winning Culture
Company ownership equity

Working Conditions

Full-time role based at Groundworks’ corporate office in Irving, TX.
Collaborative, fast-paced work environment requiring adaptability and effective time management.
Occasional travel may be required for team meetings, training, or industry conferences.
Base salary range: $100,000 - $125,000 per year, based on candidate experience.
Employee Ownership/Equity

What We Provide

Competitive Pay
Employee Company Ownership Opportunities
Industry Leading Training Programs
Leadership Development and Career Growth Tracks
Comprehensive and Affordable Benefits Package
Top Workplace with Award Winning Culture

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1mo ago

GCP BigQuery Data Engineer

Virtues Irving, TX

Irving, TX

1mo ago Closed

$100k - $110k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Build cloud-native, scalable analytics and near-real-time ingestion pipelines across GCP BigQuery and event-driven streaming systems.

Responsibilities

Design, develop, and optimize enterprise data warehouse solutions using Google BigQuery.
Design, develop, and maintain real-time data ingestion pipelines using Apache NiFi to capture, transform, and route streaming data into Apache Kafka topics.
Build event-driven streaming architectures across Apache NiFi, Apache Kafka, and Google BigQuery for high-throughput, fault-tolerant, low-latency processing.
Configure and optimize Apache NiFi processors for extraction, transformation, routing, filtering, schema validation, error handling, retries, and reliable delivery to Kafka.
Develop streaming ingestion solutions enabling Google BigQuery to consume Kafka event streams and transform data into analytical tables and enterprise reporting datasets.
Design data models and implement ETL/ELT processes to move data from raw to curated and published layers.
Create and manage large-scale BigQuery datasets, including temporary/permanent and internal/external tables.
Optimize BigQuery workloads through query tuning, partitioning, clustering, and cost optimization techniques.
Monitor, troubleshoot, and optimize streaming workloads by tuning NiFi flows, Kafka topics/partitions, and BigQuery streaming ingestion to support high availability, data integrity, minimal latency, and cost-efficient processing.
Build scalable data lake frameworks and ingestion pipelines using GCP technologies.
Develop reporting and visualization solutions using Looker, Looker Studio (Data Studio), Connected Sheets, and other BigQuery reporting tools.
Collaborate with data architects, modelers, developers, DevOps engineers, project managers, and business stakeholders to deliver scalable enterprise analytics and continuous data platform improvements.

Requirements

7+ years of experience in Data Engineering, Data Warehousing, or Big Data platforms.
Must-have skills: Apache NiFi and Apache Kafka.
Strong hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Dataflow, Pub/Sub, and Google Cloud Storage (GCS).
Hands-on experience designing and supporting real-time streaming pipelines using Apache NiFi, Apache Kafka, and Google BigQuery.
Experience using BigQuery Console/Query Editor for data management, performance tuning, and SQL development.
Strong experience designing scalable data models, ETL/ELT pipelines, data lake architectures, and enterprise data warehouse solutions.
Experience with batch and streaming ingestion using GCP services.
Thorough understanding of BigQuery cost structure (storage, ingestion, and query costs) and experience implementing query optimization, partitioning, clustering, and other cost optimization techniques.
Experience managing large-scale datasets, including temporary/permanent and internal/external BigQuery tables.
Experience developing reporting and visualization solutions using Looker, Looker Studio (Data Studio), and Connected Sheets.
Excellent verbal and written communication skills, able to collaborate effectively with technical teams, business stakeholders, senior management, and executive leadership.
Experience working in Agile environments and collaborating with cross-functional teams to deliver enterprise data engineering solutions.