Mid Level Genai Engineer Jobs
Mid level genai engineer jobs go to engineers ready to own projects end to end, guide junior teammates, and deliver production systems with limited oversight. Openings are concentrated across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, remote, and hybrid settings, and employers like Amazon Web Services, Apple, and JPMorganChase hiring at this level now.
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Job Description:
The Role
This is an individual contributor applied GenAI engineer/data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related projects, application building and data science. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.
You will have:
- PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience.
- Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding
- Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools
- Experience taking an application from research to production and realizing measurable value from it to the team or firm
- Ability to work on and drive progress for multiple projects at the same time
- Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
- Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
- Excellent planning, project management, leadership, and research skills
- Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
- Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges
The Team
We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models.
The base salary range for this position is $126,000-255,000 USD per year.Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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Who's Hiring
- Amazon Web Services5
- Apple4
- JPMorganChase4
- PwC2
- Google2
Top Industries Hiring
- Technology & Software13
- Banking & Financial Services8
- Investment & Asset Management7
- Electronics & Hardware5
- Distribution & Wholesale5
Mid Level Genai Engineer Jobs: Frequently Asked Questions
How do I get a mid level genai engineer job?
Position your experience around ownership and outcomes, not just tasks. Highlight projects where you led the technical direction, solved ambiguous problems, or improved a GenAI system in production. Tailor your resume to show depth in areas like prompt engineering, retrieval-augmented generation, or model fine-tuning, and demonstrate that you can operate with minimal hand-holding from the start.
Which companies hire mid level genai engineers?
Companies hiring mid level genai engineers right now include Amazon Web Services, Apple, and JPMorganChase, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of employers, including technology product companies, enterprise software firms, and large organizations building internal AI capabilities across business functions.
Are there remote mid level genai engineer jobs?
Yes, remote work is well established at this level. About 24% of mid level genai engineer openings are remote or hybrid as of July 2026, reflecting the nature of the work and ongoing employer demand for distributed engineering talent. On-site roles still exist, particularly at companies where model deployment or data infrastructure requires in-person access.
How do I move up to a mid level genai engineer role?
The path from entry level to mid level comes from accumulating real ownership over time. Focus on moving from executing assigned tasks to proposing and completing full features independently. Build depth in a specific area of the GenAI stack, contribute to production systems, document your measurable impact, and seek out projects where you can demonstrate judgment, not just execution.
Which industries hire the most mid level genai engineers?
Mid Level genai engineer roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they are actively integrating large language models and AI-powered features into core products, workflows, and customer-facing systems, creating sustained demand for engineers who can own that work end to end.