VP Engineering Jobs in Texas
VP Engineering jobs in Texas are concentrated in Austin, Dallas, and Houston, where technology companies, defense contractors, and energy firms maintain large engineering organizations and compete actively for senior technical leadership. Dell Technologies, Texas Instruments, and Lockheed Martin are among the established employers with deep roots in the state that regularly hire at this level. Demand is strongest for vp engineering candidates with expertise in cloud infrastructure, embedded systems, and hardware-software integration. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 27+ VP Engineering jobs
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.
-
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.
-
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)
-
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.
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.
-
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.
-
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)
-
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 27 VP Engineering Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find VP Engineering JobsVP Engineering Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
VP Engineering Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Technology & Software
- Banking & Financial Services
What Texas Employers Look For
The qualifications that appear most often in VP engineering jobs across Texas.
- Bachelor's or master's degree in computer science, electrical engineering, or a related engineering discipline
- Ten or more years of progressive engineering experience including direct management of engineering managers
- Demonstrated ability to lead large distributed engineering teams and set technical direction at an organizational level
- Experience owning engineering roadmaps, delivery timelines, and cross-functional collaboration with product and operations
- History of recruiting, developing, and retaining senior engineering talent in competitive markets
- Strong communication skills with the ability to represent engineering priorities to executive leadership and boards
VP Engineering Jobs in Texas: Frequently Asked Questions
How do you become a vp engineering in Texas?
Most vp engineering roles in Texas require a bachelor's degree in an engineering or computer science discipline, though a master's degree is common at larger organizations. There is no state-issued license required for software or engineering leadership roles in Texas, but engineers who oversee licensed professional engineering work may need staff with active Texas Professional Engineer licenses issued by the Texas Board of Professional Engineers and Land Surveyors. The typical path runs from senior engineer to engineering manager to director before reaching the VP level.
Which companies hire vp engineerings in Texas?
Texas vp engineering roles are posted by Citi, Information Technology Senior Management Forum, and Goldman Sachs and others right now, based on current listings on Migrate Mate as of November 2026. Texas's mix of technology headquarters, defense and aerospace contractors, and energy sector engineering firms creates consistent demand for senior engineering leadership across industries.
Which Texas cities have the most vp engineering jobs?
Austin, Dallas, and Irving are the cities with the most vp engineering openings in Texas. Austin's concentration of technology company headquarters and high-growth startups drives the largest share of demand, while Dallas and Houston produce openings across defense, energy, and enterprise software companies with substantial Texas footprints.
Are there remote vp engineering jobs in Texas?
Yes, and more than most fields, since vp engineering is primarily a strategic and managerial role that can be performed remotely. About 60% of vp engineering openings tied to Texas are remote or hybrid as of November 2026, reflecting how common distributed leadership has become at this level. The portions of the role most amenable to remote work include roadmap planning, hiring, and stakeholder communication, while on-site presence is more common when the team works with physical hardware or sensitive government systems.
How can I get hired as a vp engineering in Texas with little or no experience?
The most realistic path into vp engineering without prior VP-level experience is to move up from a director of engineering role within the same organization. Texas employers such as large Austin-area technology companies and Dallas-based enterprise software firms regularly promote engineering directors who have managed managers and delivered on multi-team roadmaps. Building a record of cross-functional ownership, hiring, and technical strategy, combined with a master's degree or an MBA with a technology focus, strengthens a case for promotion or lateral entry into a first VP role.
Where can I find and apply to vp engineering jobs in Texas?
You can find and apply to vp engineering jobs in Texas on Migrate Mate, which lists current Texas openings at this level. Search the roles available, identify the ones that match your background and the industries you want to work in, and apply directly to the ones that fit.
See All 27 VP Engineering Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find VP Engineering Jobs