Generative AI Engineer Jobs in Texas
Generative AI Engineer jobs in Texas are among the most active in the country, concentrated in enterprise software, financial services, energy technology, and defense contracting, with openings at every level from junior prompt engineers through principal research scientists. Austin, Dallas, and Houston lead hiring volume, where companies like Dell Technologies, JPMorgan Chase, and Lockheed Martin maintain large engineering operations that are actively building out AI teams. The most in-demand specialties include large language model fine-tuning, retrieval-augmented generation architecture, and MLOps pipeline development. Find a role that fits below and apply directly.
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Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.
Job Overview
The USCC Architecture and AI Engineering group is seeking a seasoned and visionary prinicipal Generative AI/AI Lead to guide our team and architect the next generation of intelligent systems. This is a pivotal role in driving our AI project execution, from conceptualization through to production. We are looking for an expert with a proven track record in designing and delivering robust, scalable, and well-governed AI solutions. The ideal candidate will be a technical leader who can mentor a talented team of engineers, collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.
Key Responsibilities
- Architect & Design: Lead the design and architecture of complex, end-to-end AI systems, ensuring they are scalable, resilient, maintainable, and secure.
- Strategize & Collaborate: Partner directly with business leaders and product managers to identify high-impact AI opportunities, define project roadmaps, and translate strategic business needs into a coherent technical vision.
- Lead & Mentor: Manage, mentor, and develop a team of AI engineers, fostering a culture of innovation, technical excellence, and rapid, continuous learning. Provide technical guidance and oversight on all projects.
- Govern & Standardize: Establish, implement, and enforce AI governance frameworks and MLOps best practices to ensure ethical, responsible, and compliant AI implementations across the organization.
- Hands-On Leadership: Remain hands-on in development, guiding the implementation of advanced machine learning, deep learning, and Generative AI models and setting the standard for code quality.
- Drive Innovation: Champion research into emerging AI technologies, tools, and methodologies. Drive proof-of-concept initiatives and make strategic recommendations for integrating cutting-edge solutions.
- Oversee MLOps: Define and lead the strategy for MLOps, including the robust deployment, monitoring, and full lifecycle management of AI applications in containerized environments like OpenShift.
Required Skills and Qualifications
- 6+ years of experience in Gen AI application development, building and deploying solutions with large language models such as GPT, Gemini, Claude, and Llama.
- Leadership & Management: Proven experience in a technical leadership or team management role, with a strong ability to mentor engineers, manage project priorities, and drive team performance.
- Architectural Expertise: Demonstrated ability to design and architect scalable, high-availability, end-to-end AI and machine learning systems.
- Business Acumen: Significant experience collaborating with non-technical business stakeholders to identify opportunities, define requirements, and articulate a clear AI strategy.
- AI Governance: Strong understanding and practical experience in implementing governance, risk, and ethical guidelines for enterprise-grade AI solutions.
- Expert Python Proficiency: Expert-level programming skills in Python and its core AI/ML ecosystem (e.g., NumPy, Pandas, Scikit-learn).
- Deep AI/ML Expertise: Extensive, hands-on implementation experience with Machine Learning, Deep Learning, Generative AI, and Agentic AI systems.
- Advanced Data Expertise: Proven expertise in designing and managing complex data handling, preprocessing, and validation pipelines for mission-critical AI applications.
- Advanced MLOps: Deep, practical experience in MLOps, including containerization (Docker), orchestration (OpenShift/Kubernetes), CI/CD, and production deployment of AI models.
- Bachelor's degree or equivalent practical experience.
Core Technical Stack & Expertise
The ideal candidate will have deep, hands-on expertise and strategic experience with the following technologies:
- LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
- Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
- Orchestration: LangGraph and designing and building complex Multi-Agent Systems.
- Development: Building production-grade, scalable services using Python, FastAPI, and asynchronous programming patterns.
- RAG (Retrieval-Augmented Generation): Designing and implementing advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
- ML/DL Platforms: PyTorch and/or TensorFlow for building and fine-tuning models at scale.
- Deployment & Monitoring: Containerization with Docker, deploying resilient production APIs, and implementing comprehensive monitoring, logging, and alerting strategies.
- Applied AI Skills: Mastery of Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.
The Ideal Candidate
- You are a strategic thinker and a master builder, capable of seeing the long-term vision and diving deep into the technical details to make it a reality.
- You are an experienced and empathetic leader who empowers your team to do their best work.
- You excel at bridging the gap between business and technology, translating complex problems into actionable and impactful AI strategies.
- You have a deep-seated commitment to building responsible AI and establishing robust governance.
- You are a thought leader and lifelong learner, staying at the absolute cutting edge of the AI industry and inspiring others to do the same.
- You have a proven track record of delivering high-impact AI solutions from initial concept to full-scale production.
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Job Family Group:
Technology-
Job Family:
Applications Development-
Time Type:
Full time-
Primary Location:
Irving Texas United States-
Primary Location Full Time Salary Range:
$156,160.00 - $234,240.00
In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
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Most Relevant Skills
Please see the requirements listed above.-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.-
Anticipated Posting Close Date:
Nov 06, 2026-
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents – AI Notice and Right (opens in new window)
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
See All 17 Generative AI Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Generative AI Engineer JobsGenerative AI Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Generative AI Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Retail
- Electronics & Hardware
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in generative AI engineer jobs across Texas.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Hands-on experience building or fine-tuning large language models such as GPT or LLaMA
- Proficiency in Python and deep learning frameworks including PyTorch or TensorFlow
- Experience with cloud platforms like AWS, Azure, or Google Cloud for AI model deployment
- Familiarity with retrieval-augmented generation pipelines and vector database integrations
- Strong communication skills to translate model outputs for non-technical Texas business stakeholders
Generative AI Engineer Jobs in Texas: Frequently Asked Questions
How do you become a generative ai engineer in Texas?
Generative AI engineering has no state-issued license in Texas, so the path runs through education and demonstrable technical skill. Most Texas employers expect a bachelor's degree in computer science, data science, or a related field, with a master's degree increasingly preferred for senior roles. Building a portfolio of fine-tuned models, RAG systems, or deployed AI applications on platforms like GitHub carries significant weight with Texas hiring managers across Austin's tech corridor and Dallas's enterprise sector.
How much do generative AI engineers make in Texas?
Generative AI engineers in Texas earn a median of about $132,150 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $82,600 for the lowest 10% to over $183,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire generative ai engineers in Texas?
Employers hiring generative ai engineers in Texas right now include Tiger Analytics, Verveba telecom, and Amazon Web Services, based on current listings on Migrate Mate as of November 2026. Texas's concentration of Fortune 500 headquarters, defense contractors, and energy technology firms means demand extends well beyond pure software companies into industries actively embedding generative AI into core operations.
Which Texas cities have the most generative ai engineer jobs?
Austin, Richardson, and Dallas have the most generative ai engineer openings in Texas. Austin's density of technology company campuses and startups drives the bulk of listings, while Dallas attracts openings from financial services firms and large enterprise software operations, and Houston's energy sector and Texas Medical Center are producing a growing share of applied AI roles.
Are there remote generative ai engineer jobs in Texas?
Yes, and more than most fields. About 75% of generative ai engineer openings tied to Texas are remote or hybrid as of November 2026, reflecting how naturally the work translates to distributed teams. Model development, prompt engineering, and evaluation workflows are particularly well-suited to fully remote arrangements, though roles involving proprietary enterprise data or defense contracts more often require on-site or hybrid presence.
How can I get hired as a generative ai engineer in Texas with little or no experience?
The most realistic entry path is moving laterally from a software engineering, data science, or machine learning analyst role into a generative AI team. Large Texas employers including Dell, AT&T, and major Dallas-area financial institutions regularly bring in associate engineers and data analysts who then rotate onto AI projects. Building a public portfolio of RAG or LLM fine-tuning projects, completing a recognized machine learning certification, and targeting junior AI engineer or AI solutions associate postings gives candidates without direct experience a concrete foothold.
Where can I find and apply to generative ai engineer jobs in Texas?
You can find and apply to generative ai engineer jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and beyond. Find roles that fit your experience and apply directly to each employer through the listing.
See All 17 Generative AI Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Generative AI Engineer Jobs