Texas

Data Jobs in Texas

283 jobs found

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28d ago

AI engineer

Robotics Technologies Dallas, TX

Dallas, TX

28d ago

Full time Agentic Ai Ai Agent Ai Engineer

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Job Description

Robotics Technologies is hiring an AI Engineer for an onsite role in Dallas, TX focused on turning AI/ML and LLM or agentic ideas into working prototypes and deployable solutions. The work blends research and evaluation with hands-on cloud-based architecture and workflows, including validating performance, safety, and operational readiness.

What you’ll do

Lead R&D on AI/ML technologies and architectures, applying the right approach for the use case.
Deploy AI/LLM and agentic applications to support proof-of-concept demonstrations, then help scale successful efforts toward production.
Explore and implement traditional AI, Gen AI, and Agentic AI techniques.
Keep up with evolving AI trends and evangelize emerging technologies internally.
Evaluate and pilot third-party AI solutions to assess scalability and business value.
Prototype solutions to guide future productization.
Collaborate on data preparation and synthetic data generation strategies.
Validate model performance, safety, and operational readiness.
Contribute to AI system architecture and manage cloud workflows.
Collaborate with AI Business Partners throughout development and delivery.

Skills and requirements

Python, plus experience using APIs, ML frameworks, and AI tooling.
Familiarity with AI tools such as GitHub Copilot, Codex, Claude Code, LangChain, ADK, ChatGPT, and MS Copilot.
Experience with LLMs including OpenAI GPTs, Google AI, and Claude.
Experience working with embeddings and vector databases.
Ability to build and manage API integrations.
Core competencies in Prompt Engineering, Model Evaluation & Design, and AI Architecture Design.
Knowledge of data preparation and generation, including synthetic data approaches.
Cloud experience with AWS and GCP.

Role details

Location: Dallas, TX (onsite)
Duration: 12 Months + Extension
Pay: Hourly rate depending on experience (DOE)
Work authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Employment type: W-2, 1099, C2C
Job ID: J53169
Client: To Be Discussed Later

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28d ago

AI Engineer

Chevron Houston, TX

Houston, TX

28d ago

Full time Backend Developer .NET Agentic Ai

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Job Description

Chevron is seeking an AI Engineer in Houston, TX to modernize data foundations and deliver AI and ML accelerators across the organization.

Design and develop AI and Machine Learning solutions
Design and develop agentic solutions using Microsoft Foundry and Azure Cognitive Services
Build software solutions using Python and/or Typescript and/or C#
Design and implement AI plugins, skills, and MCP servers
Orchestrate large-scale data processing and distributed model training workloads
Collaborate with business and technical stakeholders to identify AI opportunities
Lead cross-functional initiatives and partner with product managers to define requirements
Apply software engineering best practices including testing, source control, architecture reviews, and CI/CD

Requirements

Experience designing, developing, and deploying software solutions (Python preferred)
Experience building AI-enabled applications using machine learning and/or generative AI technologies
Experience with agentic AI frameworks, AI orchestration platforms, or related AI development patterns
Experience developing cloud-native solutions using Microsoft Azure services
Demonstrated software engineering practices: source control, testing, code reviews, and CI/CD
Strong written and verbal communication skills for collaboration across technical and business teams
Demonstrated ability to rapidly learn and apply new technologies, frameworks, and approaches in a fast-changing AI environment

Technology Focus

Microsoft Foundry
Azure Cognitive Services
Python
Typescript
C#
MCP servers
Microsoft Azure
CI/CD

Location

Houston, TX (onsite)

Relocation and International Considerations

Relocation will not be considered
Expatriate assignments will not be considered
Candidates requiring employment visa sponsorship cannot be considered for this position
Candidates on time-limited Visa status cannot be considered for this position

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29d ago

AI Engineer

GEI Consultants Dallas, TX

Dallas, TX

29d ago

$110k - $150k/yr Full time Analytics Artificial Intelligence Azure

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Job Description

GEI Consultants is seeking an AI Engineer to develop, deploy, and integrate AI solutions into business workflows. In this role, you will help deliver AI Solutions Factory use cases by implementing production-ready capabilities that are secure, scalable, maintainable, and measurable for reliability, performance, and cost.

This position is based in Dallas, TX with onsite work arrangements. The pay range for this role is $110,000.00–$150,000.00 per year, and candidates should have 4+ years of relevant software engineering experience, including hands-on work building Generative AI applications.

Responsibilities

Build and deploy AI-based solutions using pretrained models and Copilot technologies.
Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
Integrate AI capabilities into business workflows and applications.
Securely integrate enterprise data sources, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
Provide technical support and troubleshooting for deployed AI solutions.
Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Requirements

4+ years of software engineering experience, including at least 1 year building Generative AI applications.
Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Experience delivering Generative AI (LLM) solutions, preferably on Azure.
Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, plus other frameworks such as Databricks Mosaic.
Knowledge of big data technologies such as Spark and Databricks; TensorFlow and PyTorch are a plus.
Knowledge of Azure cloud services including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and how they integrate with ML workflows.
Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
Azure or Databricks certifications (for example, Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

Technologies

Python, PySpark, R, SQL
Generative AI, Large Language Models (LLMs)
Copilot technologies, Copilot Studio
Azure Functions
Azure AI library APIs (GPT, Codex, DALL·E)
Databricks Mosaic, Spark, Databricks
TensorFlow, PyTorch
Azure AI Platform, Azure Data Factory, Azure Synapse, Azure Cognitive Services
Power BI
Retrieval-augmented generation (RAG)
APIs, Graph connectors, event-driven patterns

Benefits

Market-Competitive Compensation, including eligibility for an Annual Performance Bonus.
Pay Range For This Position: $110,000.00–$150,000.00/year.
Comprehensive Benefits Program including Medical, Dental, Vision, Life, Disability, and more.
Well-Being Program and Paid Parental Leave.
Commuter Benefits.
Hybrid Work Schedules and Cell Phone Stipends.
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement.
Connecting Conversation Program focused on Professional Development and opportunities for Advancement.
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses.
Paid Holidays and a Generous Paid Time Off Program.
Rewards and Recognition.
GEI-Funded Profit Sharing and 401(k).
Opportunity to be an Owner and Shareholder.
A vibrant culture focused on partnership, sustainability, giving back to communities, and diversity, equity, and inclusion.

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1mo ago

Junior Data Analyst

Morgan Stanley Dallas, TX

Dallas, TX

1mo ago Closed

$80k - $100k/yr Full time Python Data Analysis Data Analytics

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Join Morgan Stanley’s NFR Data & Analytics team in Dallas, TX (onsite) and help power investigative analytics tied to Financial Crime Risk and Crypto. This Junior Data Analyst role supports data wrangling, reconciliation, and reporting workflows, with a focus on accuracy, data quality, and audit-ready documentation. The position’s work location is temporary and will transition to 1445 Ross Ave.

Compensation: expected base pay rates are between $80,000 and $100,000 per year at the commencement of employment. Actual base pay will be determined on an individualized basis and is only part of the total compensation package. Depending on the position, the package may include commission earnings, incentive compensation, discretionary bonuses, other short- and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

On-site process: in-person interviews will be required for the role.

What you’ll do

Perform foundational data wrangling and preparation across datasets related to Fraud, GFC, and blockchain transactions.
Assist with data reconciliation and validation to maintain accuracy and completeness of investigation datasets.
Support reporting outputs and recurring analytical deliverables, including ongoing production reporting support and recurring data refreshes.
Partner with senior analysts to structure and clean data for downstream investigative workflows.
Run data quality checks, identify basic issues or anomalies, and escalate inconsistencies as appropriate.
Collaborate with stakeholders across Fraud, GFC, and Technology teams to support cross-functional data needs.
Handle restricted datasets accessible only to US-based staff while following data governance and access controls.
Document data processes, assumptions, and transformations in a clear, audit-ready format.

What you bring

0-3+ years of experience in data analysis, data wrangling, or related analytical roles.
Working knowledge of SQL or similar query languages; exposure to data tools such as Python, Alteryx, and Excel is a plus.
Basic understanding of data validation, reconciliation, and data quality practices.
Strong attention to detail, especially in data accuracy and control-oriented environments.
Ability to work with structured and semi-structured datasets in a regulated setting.
Interest in Financial Crime and Crypto-related analytics.
Strong communication skills to follow requirements and translate data into structured outputs.
Ability to manage multiple tasks in a team-oriented, deadline-driven environment.
Willingness to learn new tools, datasets, and analytical approaches in a rapidly evolving domain.

Tools and technologies

SQL
Python
Alteryx
Excel

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1mo ago

Data Analyst

Sporting Kansas City Center, TX

Center, TX

1mo ago Closed

Full time Analytics Data Data Analysis

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Sporting Kansas City is seeking a Data Analyst based in Center, TX (onsite) to deliver performance-focused insights and support data-driven decision-making for soccer stakeholders. The role combines analysis, reporting, visualization, and the development of benchmarking and decision-support tools across the First Team.

Key Responsibilities

Provide club-wide data and analytical support to improve data understanding, adoption, and practical application.
Partner with soccer stakeholders to translate insights into performance strategies.
Build and maintain strong working relationships with coaches, analysts, scouts, physical performance coaches, and other key stakeholders.
Communicate analytical findings clearly and concisely to coaches, technical staff, leadership, and ownership.
Address performance questions by translating data into straightforward, actionable recommendations.
Support the development and delivery of pre-match, post-match, and opposition profiling reports.
Deliver high-quality individual and team research projects designed to improve performance and support decision-making.
Lead data visualization initiatives and support the creation and delivery of multiple tools.
Develop and maintain player, team, and league benchmarking frameworks to support objective decision-making.
Support recruitment and squad planning using benchmarking, profiling, and market analysis.
Query, gather, and manipulate data from multiple sources.
Work with event, tracking, and physical performance datasets to build custom metrics.
Build decision-support tools and reports that can be presented and distributed throughout the club.
Support data best practices across the club, aligning with the broader club data strategy and contributing to the continuous development of SKC’s reporting ecosystem.

Required Qualifications

Bachelor’s degree in data science or a related STEM subject.
Experience using SQL and Python and/or R for data management and analysis.
Previous experience with Tableau or comparable data visualization software.
Previous experience working with data and delivering insights within a pro soccer club.
Demonstrated strong communication skills to translate data into actionable insights.
Creative and curious problem-solving approach with a positive attitude toward new challenges.
Proactive, eager-to-learn mindset and ability to work effectively as part of a team.
Excellent attention to detail, with evidence of ongoing development of analytical skills.

Tools and Technologies

SQL, Python, R, Tableau

Preferred Qualifications

Strong understanding of the technical and tactical aspects of soccer.
Evidence of experience working in the MLS.

Physical Requirements and Work Conditions

Ability to work in an office, stadium, and outdoor environments, with travel as required.
Ability to occasionally lift up to 25 pounds.
Ability to work non-traditional hours, including evenings, weekends, and holidays.

Additional Responsibilities

Represent Sporting Kansas City professionally at all times.
Maintain confidentiality of sensitive information.
Comply with club policies and procedures.
Perform other duties as assigned.

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1mo ago

Embedded AI Engineer

Gigapower Dallas, TX 🇺🇸 Remote

Dallas, TX

1mo ago Closed

Full time Agentic Ai Ai Engineer Artificial Intelligence

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Gigapower is building AI capabilities that work alongside engineering teams, turning technical workflows into opportunities for automation and measurable productivity gains. As the dedicated Embedded AI Engineer, you will identify, develop, and deploy AI-powered solutions that support engineering operations across permit design, HLD/LLD, network planning, and day-to-day engineering processes.

Based in Dallas, TX (remote), this role partners closely with engineering, design, and permitting stakeholders to deliver practical tools such as RAG applications, intelligent agents, copilots, and internal engineering automations. You will also help drive adoption by coaching teams on AI tool usage and measuring real-world impact.

What you’ll do

Partner with Engineering, Design, and Permitting teams to understand workflows, challenges, and opportunities for AI-driven improvement.
Identify, prioritize, and deliver AI solutions that improve engineering productivity, design quality, permitting efficiency, and project execution.
Build and deploy AI-powered automations, retrieval-augmented generation (RAG) applications, intelligent agents, copilots, and internal engineering tools.
Develop solutions that streamline permit package creation, engineering documentation, design reviews, and standards compliance.
Create AI-enabled capabilities that assist with HLD and LLD development, engineering analysis, and network planning activities.
Collaborate with Data Engineering and AI teams on enterprise-scale solutions involving shared platforms, analytics, and operational data.
Coach engineering stakeholders on effective use of AI tools including Microsoft Copilot, Claude, and ChatGPT.
Measure solution adoption, quality, and business impact, continuously improving capabilities based on stakeholder feedback.
Partner with engineering leadership to identify scalable AI opportunities across network design and deployment activities.
Use AI-powered tools to improve personal productivity and accelerate solution development.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline (or equivalent practical experience).
1 to 3 years of experience developing software, analytics, automation, or AI-based solutions.
Hands-on experience building applications utilizing Large Language Models (LLMs), including prompting, retrieval-augmented generation (RAG), AI agents, automation workflows, or tool integrations.
Strong proficiency in Python.
Experience developing solutions from concept through deployment and user adoption.
Working knowledge of SQL and experience working with structured datasets.
Strong communication skills, including the ability to explain technical concepts to non-technical audiences.
Demonstrated ability to operate independently and manage competing priorities in a fast-paced environment.
Strong problem-solving, analytical, and critical-thinking skills.
Enthusiasm for learning new technologies and understanding complex business operations.

Technologies

Python, SQL
Large Language Models (LLMs)
Retrieval-augmented generation (RAG)
AI agents
Microsoft Copilot, Claude, ChatGPT
Azure, Snowflake
Cloud-based analytics platforms, engineering systems

Preferred qualifications

Experience in fiber engineering, telecommunications engineering, network design, permitting, outside plant (OSP), or broadband infrastructure.
Familiarity with high-level design (HLD), low-level design (LLD), fiber routing, network planning, or engineering documentation processes.
Working knowledge of SQL and experience with structured, geospatial, or GIS-based datasets.
Experience with Azure, Snowflake, cloud-based analytics platforms, or engineering systems.
Experience supporting change management, technology adoption, enablement, or training initiatives.

Key competencies

Engineering Process Optimization: Identifies opportunities to improve engineering efficiency, quality, and consistency through technology.
AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value.
Technical Partnership: Builds trusted relationships with engineers, designers, and technical stakeholders to solve complex operational challenges.
Problem Solving & Analysis: Applies data-driven thinking and technical expertise to address engineering and network design challenges.
Innovation & Automation: Continuously seeks opportunities to eliminate manual work and improve productivity through automation.
Communication & Influence: Clearly explains technical concepts, gains stakeholder buy-in, and drives adoption of new capabilities.
Learning Agility: Quickly learns new technologies, engineering processes, and business domains to maximize impact.

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1mo ago

Embedded AI Engineer - Finance

Gigapower Dallas, TX 🇺🇸 Remote

Dallas, TX

1mo ago Closed

Full time Agentic Ai Ai Engineer Analytics

This position is no longer accepting applications (closed Sep 16, 2026).

Job Description

Embedded AI Engineer to serve as the dedicated AI partner for the Finance organization, building and deploying AI-powered solutions that improve planning, forecasting, reporting, and decision-making.

Responsibilities

Work with Finance teams to understand budgeting, forecasting, capital planning, reporting, and approval workflows
Spot and rank use cases where AI can improve financial analysis, operational efficiency, and decision-making
Design and deploy AI-powered automations, RAG applications, agents, copilots, and internal productivity tools
Streamline financial reporting, forecasting, cost analysis, and capital approval processes through solution development
Collaborate with Data Engineering and AI teams on enterprise-scale platforms and shared data initiatives
Build tools that increase visibility into spend, capital deployment, project economics, and business performance
Coach stakeholders on using Microsoft Copilot, Claude, ChatGPT, and other AI technologies effectively
Track adoption, quality, and business outcomes to iterate and continuously improve delivered solutions
Reduce manual effort using workflow automation and intelligent reporting capabilities
Identify scalable AI opportunities that can be rolled out across multiple business functions

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Finance, or a related discipline, or equivalent experience
1 to 3 years of experience building software, analytics, automation, data, or AI-based solutions
Hands-on experience with LLMs, prompt engineering, RAG, AI agents, or automation workflows
Strong proficiency in Python
Working knowledge of SQL and experience working with structured datasets
Capability to take solutions from concept through deployment and user adoption
Strong communication and stakeholder management skills
Self-starter mindset with comfort operating in fast-paced and ambiguous environments
Strong analytical, problem-solving, and critical-thinking skills
Interest in learning complex financial and business processes

Technologies

Python
SQL
LLMs
RAG
Microsoft Copilot
Claude
ChatGPT
AI agents

Preferred Qualifications

Experience in corporate finance, FP&A, capital planning, financial analytics, or infrastructure cost estimation
Experience supporting telecommunications, construction, utilities, infrastructure, or capital-intensive industries
Experience with Azure, Snowflake, cloud analytics platforms, or modern data environments
Experience with change management, user enablement, training, or technology adoption initiatives

Key Competencies

Financial Process Optimization: Improve efficiency, accuracy, and scalability of finance operations using technology
AI Solution Development: Deliver AI-powered solutions tied to measurable business value
Business Partnership: Build trusted relationships with finance and operational stakeholders
Data-Driven Decision Making: Use data, analytics, and AI to provide actionable insights
Automation & Innovation: Identify opportunities to remove manual effort and increase productivity
Communication & Influence: Explain technical concepts clearly and drive adoption across stakeholder groups
Learning Agility: Quickly build expertise in financial processes, technologies, and business domains