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Senior Security GRC Engineer, AI & Automation
American Express Global Business Travel
Raleigh, NC
AmexGBT’s Security GRC team is looking for a talented Senior Security GRC Engineer to design, build, and scale automation and AI-driven solutions that modernize our governance, risk, and…
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EC
Software Engineer
Eaton Corporation
Raleigh, NC
- $80,000 to $118,000 USD / year
Eaton’s ES AMER ESS division is currently seeking a Software Engineer.
Added just now
Associate Software Engineer
Highmark Health
Raleigh, NC
This job is an integral member of an agile software engineer team responsible for building scalable software applications across all digital channels to serve our customers. Responsible for…
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Senior Embedded Systems Verification Engineer
Eaton Corporation
Raleigh, NC
Eaton’s Critical Power Solutions Division (CPS) is seeking an Embedded Systems Verification Sr. Engineer. This position can be based on a hybrid basis in Raleigh, NC. Relocation is…
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Director - Customer Response Engineering
Trellix
Raleigh, NC
The Director leads CRE globally and owns engineering response for strategic customers across our endpoint, data security, email, and network products. The role also owns prevention: finding…
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Information Security Engineer
TTEC
Raleigh, NC
- $65,000 to $70,000 USD / year
Be the spark that brightens days and ignite your career with TTEC’s award-winning employment experience. As a Information Security Engineer working remote in US, you’ll be a part of…
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Senior Telecom Engineer
Maximus
Raleigh, NC
Maximus is seeking an experienced Senior Telecom Engineer to lead the design, implementation, and optimization of Genesys Cloud solutions. This role is responsible for executing large-scale…
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.NET Full stack Engineer with C#
Cognizant
Raleigh, NC
- $86,000 to $99,000 USD / year
As a Senior Software Engineer , you will make an impact by designing, developing, and modernizing enterprise healthcare payer applications that support critical business functions including…
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.NET Full stack Engineer with C#
Cognizant
Raleigh, NC
- $86,000 to $99,000 USD / year
As a Senior Software Engineer , you will make an impact by designing, developing, and modernizing enterprise healthcare payer applications that support critical business functions including…
Added just now
C
.NET Full stack Engineer with C#
Cognizant
Raleigh, NC
- $86,000 to $99,000 USD / year
As a Senior Software Engineer , you will make an impact by designing, developing, and modernizing enterprise healthcare payer applications that support critical business functions including…
Added just now
Network Operations Engineer
Meta
Raleigh, NC
Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS) Foundation NetOps team. In this role, you will utilize your knowledge in hyperscale data center…
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Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Raleigh, NC
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
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Staff Software Architect
CVS Health
Raleigh, NC
Ensure all CIE systems meet HIPAA compliance, enterprise security standards, and clinical data governance requirements
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C
Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Raleigh, NC
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
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AI Operations Administrator - Gravitee - Remote US
SitusAMC
Raleigh, NC
…operates platform configuration to the requirements defined by Information Security and AI GRC. Governance, policy, risk acceptance, control requirements, and independent control assurance…
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Lead Engineer CIAM (Customer Identity Acess Management), Information Security
Lowe's
Charlotte, NC
- $111,600 to $212,000 USD / year
The Lead Customer Identity and Access Management (CIAM) Engineer serves as the technical leader responsible for the design, implementation, operation, and modernization of Lowe's enterprise…
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Lead Saviynt Engineer
Wells Fargo
CHARLOTTE, NC
Wells Fargo is seeking a Lead Software Engineer in Cybersecurity to support the enterprise Identity Governance & Administration (IGA) modernization program. Learn more about career areas…
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Automation Principal Engineer
Wells Fargo
CHARLOTTE, NC
Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and…
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Forward Deployment Agentic Engineer
Guidehouse
CHARLOTTE, NC
- $70,000 to $116,000 USD / year
…including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational…
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Quality Systems Engineer, Programmatic
Eaton Corporation
Charlotte, NC · Arden, NC
- $86,000 to $126,000 USD / year
Eaton’s ES AMER ARS division is currently seeking a Quality Systems Engineer, Programmatic. The position will be based out of one of these facilities: Arden, NC, Charlotte, NC, El Paso, TX,…
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Senior Software Engineer - Incentive Compensation
Wells Fargo
CHARLOTTE, NC
The Human Resources Information Technology (HRIT) team provides technology support for team member focused applications and processes, including payroll, benefits, learning and recruiting.…
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Azure Cosmos DB Developer and Java Developer (Open for Remote)
Cognizant
Charlotte, NC
- $69,500 to $123,500 USD / year
Experience with Docker, Kubernetes, GitHub or Azure DevOps, CI/CD pipelines, cloud security, private networking, and modern Azure architecture.
Added just now
Cybersecurity AI Principal Engineer
Wells Fargo
CHARLOTTE, NC
…architecture across applications, cloud infrastructure, networking, information security, data platforms, Kubernetes, and distributed systems for highly complex Cyber AI…
Added 1 min ago
Integration Engineer (Middleware/API)
CGI Technologies and Solutions, Inc.
Charlotte, NC
CGI is looking for an Integration Engineer to build and run the middleware that connects business applications for a global leader in the transportation and financial services industry. You…
Added 1 min ago
EC
Vice President of Engineering, ARS
Eaton Corporation
Charlotte, NC
- $227,000 to $333,000 USD / year
…engineering, value analysis/value engineering (VA/VE), and Engineer-to-Order (ETO) front-end engineering across electrical power distribution assemblies, circuit protection, wiring devices,…

Closed listing

FIS Global

Engineer Sr Lead, Artificial Intelligence / Machine Learning

New York, NY, United States

The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location.

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location.
Experience: 4+ years of experience building and deploying machine learning models in production.
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

Position Type :

Full time Type Of Hire :

Experienced (relevant combo of work and education)

Job Description

Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS.

About the Role:

FIS's AI Platform organization builds the models, infrastructure, and practices that help teams across FIS bring AI into production safely and at scale. We are looking for a Software Machine Learning Engineer to build domain-specific foundation and embedding models for financial data. These models learn useful representations from large volumes of financial activity, and many products and teams can reuse them across a range of use cases.

You will work across the full model lifecycle: data preparation, pretraining, fine-tuning, evaluation, and packaging models so other teams can use them. You will work with platform, data, and product engineering teams to turn research into reliable, well-governed models in production.

What You Will Do:

Build and improve deep learning models on large-scale financial data, including sequence modeling, pretraining, and fine-tuning of transformer-based models.
Produce reusable, versioned embeddings and model artifacts that downstream teams can easily use.
Design models that generalize across tasks and datasets, and measure how well they perform on downstream problems.
Work with data and infrastructure engineers on training pipelines, data lineage, and reproducible experiments.
Work with serving engineers to optimize models for efficient, low-latency inference.
Build sound evaluation into the workflow, including time-based testing and imbalanced or delayed labels.
Support product and engineering teams as they integrate models, with clear documentation and interfaces.
Balance model quality against compute cost, and report results in terms of business impact.
Work with risk and governance partners so models are explainable, well documented, and meet regulatory expectations.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
4+ years of experience building and deploying machine learning models in production.
Strong programming skills in Python and experience with modern deep learning tools such as PyTorch.
Hands-on experience pretraining, training, or fine-tuning transformer or other deep learning models on GPUs.
Experience working with large datasets and ML pipelines on cloud platforms (AWS, Azure, or GCP), with tools such as Spark, Snowflake, or Databricks.
Solid ML fundamentals, including representation learning, offline evaluation, handling imbalanced data, and choosing the right metrics.
Good engineering habits: version control, testing, reproducible experiments, and code that others can build on.
Ability to explain technical results clearly to non-technical audiences.
Strong collaboration skills and comfort working across engineering, product, and risk teams.

Preferred Qualifications:

Experience with sequence modeling, self-supervised learning, or embedding models for tabular or event data.
Experience with financial services or payments data.
Experience with distributed training and GPU-accelerated ML frameworks.
Experience with inference optimization (quantization, distillation, batching) or real-time ML systems.
Experience with MLflow, model registries, feature stores, or other MLOps tools.
Experience working in a regulated environment, including model risk management and model documentation.

What Success Looks Like:

High-quality, reusable models that perform well across more than one downstream task.
Reproducible, well-documented models and artifacts that pass internal review.
Models adopted by product teams in production, with measurable improvement over existing approaches.
Strong working relationships across platform, data, product, and risk teams.

Why Join Us? You will help build core AI capabilities at one of the world's largest fintech companies, with work that reaches financial institutions and the people they serve. You will work with experienced ML engineers, platform engineers, and data scientists.

What We Offer you:

At FIS, you can grow your career as far as you want to take it. Here’s what else we offer:

Opportunities to make an impact in fintech
Personal and professional learning
Inclusive, diverse work environment
Resources to give back to your community
Competitive salary and benefits

FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $173,680.00 - $295,250.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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