Genai Engineer Jobs
Genai Engineer jobs are open across technology, finance, healthcare, and enterprise software, from new-grad to staff and principal levels, with specializations in large language model development, retrieval-augmented generation, and AI agent systems. Find a role that fits from the openings below and apply directly.
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Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?
At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about data, data modeling, data quality, governance and permissible use, and building data pipelines with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.
What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems
Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks
Optimize information systems for end-users and downstream application consumers by using sound data design practices
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
Bachelor’s Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
Master's Degree
7+ years of experience in application development including Python, SQL, Spark, ETL tools, or AWS Glue
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation (Mongo, Cassandra)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and shell scripting
4+ years of experience with data modeling for data warehousing
2+ years of experience with Agile engineering practices
Experience leveraging interactive AI tooling (Claude Code, GitHub Copilot) to accelerate software delivery
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Lead Data EngineerNew York, NY: $215,200 - $245,600 for Lead Data Engineer
Richmond, VA: $179,400 - $204,700 for Lead Data Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?
At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about data, data modeling, data quality, governance and permissible use, and building data pipelines with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.
What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies
As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems
Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks
Optimize information systems for end-users and downstream application consumers by using sound data design practices
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
Bachelor’s Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
Master's Degree
7+ years of experience in application development including Python, SQL, Spark, ETL tools, or AWS Glue
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation (Mongo, Cassandra)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and shell scripting
4+ years of experience with data modeling for data warehousing
2+ years of experience with Agile engineering practices
Experience leveraging interactive AI tooling (Claude Code, GitHub Copilot) to accelerate software delivery
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Lead Data EngineerNew York, NY: $215,200 - $245,600 for Lead Data Engineer
Richmond, VA: $179,400 - $204,700 for Lead Data Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Genai Engineer Jobs by Experience Level
Top Cities Hiring Genai Engineers
Explore genai engineer openings in the cities hiring most right now.
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Find Genai Engineer JobsGenai Engineer Job Market
Who's Hiring
- Google15
- Capital One9
- PwC7
- Apple6
- Information Technology Senior Management Forum6
Top Industries Hiring
- Technology & Software14
- Banking & Financial Services12
- Investment & Asset Management7
- Consulting & Professional Services6
- Electronics & Hardware5
What Employers Look For
The qualifications that appear most often in genai engineer jobs.
- Proficiency in Python and experience building or fine-tuning large language models
- Hands-on experience with LangChain, LlamaIndex, or comparable orchestration frameworks
- Familiarity with vector databases such as Pinecone, Weaviate, or pgvector
- Experience deploying AI applications on AWS, Azure, or Google Cloud platforms
- Understanding of prompt engineering, RAG architecture, and evaluation methods
- Bachelor's or master's degree in computer science, machine learning, or a related field
Tips for Your Genai Engineer Job Search
Quantify your model impact on your resume
Hiring managers for genai engineer roles want to see concrete outcomes, not just tool names. Replace vague bullets with measurable results: latency reductions, retrieval accuracy improvements, or cost-per-token decreases tied to your specific work.
Highlight RAG and fine-tuning projects separately
Retrieval-augmented generation and fine-tuning are distinct skill sets that appear as separate filters in many job descriptions. List them as individual line items so your resume surfaces in both kinds of targeted searches.
Filter openings by infrastructure stack
Many genai engineer postings require fluency in a specific cloud AI platform, such as AWS Bedrock, Azure OpenAI Service, or Vertex AI. Narrow your search by the stack you know best to avoid wasting applications on roles built around unfamiliar tooling.
Apply early to roles that fit
Migrate Mate lists genai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for LLM pipelines
Almost every genai engineer interview includes a system design round focused on production LLM architecture. Practice walking through prompt management, chunking strategy, embedding storage, and output evaluation before your first screen.
Negotiate with deployment complexity in mind
Offers for genai engineers vary based on whether the role involves model development, API integration, or full MLOps ownership. Clarify the deployment scope before accepting and use that complexity to anchor your compensation conversation.
Genai Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most genai engineers?
The companies hiring the most genai engineers right now include Google, Capital One, and PwC, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of August 2026. Demand is concentrated in enterprise technology, financial services, and healthcare software.
How many genai engineer jobs are remote?
About 44% of genai engineer openings are fully remote or hybrid as of August 2026, making it one of the more distributed engineering roles in the market. Sub-specializations in prompt engineering, LLM API integration, and evaluation tooling tend to have the highest share of remote-eligible postings compared to roles requiring on-premise model training infrastructure.
How do you become a genai engineer?
Start by building a strong foundation in Python and machine learning fundamentals, then work through hands-on projects using open-source models from Hugging Face. Learn how to build RAG pipelines, experiment with fine-tuning smaller models, and deploy an end-to-end application to a cloud platform. Document your projects publicly so hiring managers can evaluate your actual output rather than just your credentials.
Can I get hired as a genai engineer without much experience?
Yes, entry-level genai engineer roles exist, particularly at startups and in product teams integrating third-party LLM APIs rather than training models from scratch. Candidates who have built and shipped a working genai application, even as a side project, consistently get more traction than those who list only coursework. Contributing to open-source LLM tooling or writing detailed technical walkthroughs of your builds also helps establish credibility quickly.
What does the genai engineer interview process look like?
Most genai engineer interview processes include an initial recruiter screen, a take-home or live coding assessment focused on building a small LLM-powered feature, and a technical panel covering system design for production AI pipelines. Some companies add a separate evaluation round where you critique or improve an existing prompt or retrieval setup. Culture and cross-functional fit interviews typically close the process before an offer is extended.
Where can I find and apply to genai engineer jobs?
You can find and apply to genai engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Find roles that match your skills and apply directly to each listing without being redirected to separate company portals or third-party sites.
See All 114+ Genai Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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