VP Engineering Jobs
VP Engineering jobs are open across fintech, healthtech, enterprise SaaS, and consumer tech, at every level from first-time VP to SVP and CTO-track, with specializations in platform engineering, product engineering, and infrastructure. Scan the live roles below and apply to whichever ones fit.
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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.
-
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.
VP Engineering Jobs by Experience Level
Top Cities Hiring VP Engineerings
Explore VP engineering openings in the cities hiring most right now.
See All 264+ VP Engineering Jobs
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Find VP Engineering JobsVP Engineering Job Market
Who's Hiring
- WSP27
- State Street9
- Information Technology Senior Management Forum8
- Citi7
- New York Life7
Top Industries Hiring
- Consulting & Professional Services14
- Investment & Asset Management8
- Technology & Software6
- Banking & Financial Services4
- Construction & Real Estate3
What Employers Look For
The qualifications that appear most often in VP engineering jobs.
- 10 or more years of progressive software engineering experience including at least 3 in people management
- Demonstrated experience managing engineering managers and building multi-team organizations
- Proficiency with cloud infrastructure and modern software delivery practices such as CI/CD and agile
- Experience owning engineering roadmap planning in partnership with product and business stakeholders
- Bachelor's degree in computer science, software engineering, or a related technical field
- Familiarity with security, compliance, or regulatory requirements relevant to the company's industry
Tips for Your VP Engineering Job Search
Quantify engineering org scale explicitly
Hiring panels for vp engineering roles want to see team size, budget ownership, and hiring volume on your resume. If you led a 60-person org through a reorg or owned a $12M headcount budget, say so in concrete numbers rather than vague scope language.
Apply early to roles that fit
Migrate Mate lists vp engineering openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Tailor your resume to company stage
A Series B startup and a public enterprise look for fundamentally different vp engineering profiles. Early-stage listings emphasize building from scratch, while late-stage roles stress process, compliance, and cross-functional alignment. Adjust your resume bullets to mirror the stage language in each job description.
Prepare a systems design narrative
Most vp engineering loops include at least one architecture or systems design discussion aimed at evaluating judgment, not just technical knowledge. Prepare a concise story about a system you shaped, the tradeoffs you weighed, and the outcome, and practice delivering it in under five minutes.
Negotiate equity alongside base in offer stage
VP Engineering offers at growth-stage companies often include a meaningful equity component that varies widely by stage and funding round. Before your final call, research typical vesting structures and cliff terms for the company's stage so you can negotiate the full package, not just base compensation.
Follow up with a written leadership thesis
After a final-round interview, send a short written summary of your engineering leadership philosophy and how it maps to the company's current challenges. This differentiates you from candidates who only follow up with a thank-you note and reinforces your strategic fit.
VP Engineering Jobs: Frequently Asked Questions
Which companies are hiring the most vp engineerings?
The most active employers for vp engineerings right now are WSP, State Street, and Information Technology Senior Management Forum, and the most openings are in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is consistent across fintech, healthtech, and enterprise SaaS companies at the growth and scale stage.
How many vp engineering jobs are remote?
About 76% of vp engineering openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed leadership. Platform engineering, developer tooling, and infrastructure-focused vp roles tend to be the most remote-friendly, while consumer product and hardware-adjacent roles more often require on-site presence.
How do you become a vp engineering?
Most vp engineering careers follow a path from senior individual contributor to engineering manager, then to senior manager or director, then to VP. The transition from director to VP typically requires demonstrated success managing other managers, owning cross-functional roadmap decisions, and building or scaling a team through a significant growth or change cycle.
Can you get hired as a vp engineering with limited leadership experience?
It's uncommon to land a vp engineering role without prior people management experience, but early-stage startups occasionally hire strong senior engineers into the role when the org is small. In those cases, demonstrating technical credibility, clear thinking on team structure, and a concrete hiring plan can offset a shorter management history.
What does the vp engineering interview process look like?
A typical vp engineering interview process includes a recruiter screen, a hiring manager conversation focused on leadership philosophy and org design, one or more technical or systems design discussions, cross-functional conversations with product or design partners, and a final executive or CEO round. Reference checks are common at the VP level and often carry significant weight.
Where can I find and apply to vp engineering jobs?
You can find and apply to vp engineering jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your experience and goals, and apply directly to each listing from the same page.
See All 264+ VP Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
Find VP Engineering Jobs