Jobs in the United States

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Added 4 days ago
Senior AI Lead
LMI
Tysons, VA
Hands-on technical fluency with Python, APIs, JSON, SQL/data access, cloud services, source/version control, and modern engineering practices sufficient to review code, troubleshoot…
Added 4 days ago
Minneapolis Internal Audit and Financial Advisory Consultant - 2027
Protiviti Inc.
United States
Added 5 days ago
Process Reengineering Sr Solution Engineer - Remote
UnitedHealth Group
Eden Prairie, MN
Build solution architectures, prototypes, and reference implementations including technologies GenAI technologies (LLMs, RAG, Agentic AI)
Added 5 days ago
REMOTE Senior Recruiter
Insight Global
Tampa, FL
2. Technical Recruiting (CDA / CXX) – AI, GenAI, Python, and engineering
Added 5 days ago
Software Engineer, Agentic AI and LLMs, Google Ads
Google
Irvine, CA
Write product or system development code using Java, Python, Go, or C++ to build and optimize high-throughput backend services, storage schemas, APIs, and data pipelines for massive-scale…
Added 5 days ago
Data Scientist
Centurion Consulting Group
Tampa, FL
Required Skills: Python, data science, AI, GenAI, graph, ETL, data engineering, client interaction, data visualization, LLMs
Added 5 days ago
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Staff / Principal Software Engineer – Cloud Platform & SaaS
SingleStore
San Francisco, CA
- $140,000 to $215,000 USD / year
Write Resilient Systems Code: Develop performant, fault-tolerant backend services and control planes using modern Go language & Python.
Added 5 days ago
Lead AI Engineer
PND NDCHealth Corporation
OH · GA
Strong software engineering fundamentals: Python and/or Java, REST APIs, event-driven architecture, microservices, and cloud-native design (Azure preferred; AWS/GCP acceptable).
Added 5 days ago
Principal AI Engineer
PND NDCHealth Corporation
Remote, United States
Strong software engineering fundamentals: Python and/or Java, REST APIs, event-driven architecture, microservices, and cloud-native design (Azure preferred; AWS/GCP acceptable).
Added 5 days ago
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Senior, Data Analyst - Data Products & Analytics
Walmart
Bentonville, AR
- $80,000 to $155,000 USD / year
Use SQL, Python, and cloud platforms to transform complex data into reliable analytical solutions.
Added 5 days ago
S
Staff / Principal Software Engineer – Cloud Platform & SaaS
SingleStore-LinkedIn
San Francisco, CA
- $140,000 to $215,000 USD / year
Write Resilient Systems Code: Develop performant, fault-tolerant backend services and control planes using modern Go language & Python.
Added 5 days ago
GM
Senior Data Engineer
General Motors LLC
Mountain View, CA
- $255,757 USD / year
…Microsoft Excel and Excel-based Visual Basic programming language; Python/R and programming languages including C++, C#, Java, and MATLAB; Software development lifecycle and standard tools…
Added 5 days ago
Principal Data Architect
Genpact LLC
521 Fifth Avenue, NY
Build reusable accelerators leveraging GenAI, automation, and modern engineering practices, defined path and vision towards to autonomous data engineering
Added 5 days ago
AI Engineer - GenAI
CVS Health
Farmers Branch, TX
We are seeking an AI Engineer to design, build, and deploy GenAI/agentic solutions that support enterprise business needs. In this hands-on role, you will develop agentic frameworks, data…
Added 5 days ago
Sr. AWS Data Architect
Sterling Jewelers Inc.
Irving, TX
Define the architecture and roadmap for an AI ready enterprise data foundation that supports analytics, ML, GenAI and agentic AI solutions, enabling secure and scalable consumption of…
Added 5 days ago
Data Science Manager, Forward Deployed
Air
Arlington, VA · Pittsburgh, PA
Organize complex AI/ML/DS work for multiple clients, spanning science cases such as LLM/GenAI, reinforcement learning, decision science, capability simulation, document understanding,…
Added 5 days ago
Senior Security Engineer, Agentic Red Team, DeepMind
DeepMind
Mountain View, CA · New York, NY
Experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
Added 5 days ago
Lead Software Engineer Python GenAI
JPMC page
Wilmington, DE · Houston, TX · Plano, TX
As an Lead Software Engineer Python GenAI at JPMorgan Chase within the Corporate Sector's Model Delivery and Platform Engineering team, you are an integral part of an agile team that works…
Added 5 days ago
Staff Software Engineer, Full Stack, Google Cloud Business Platform
Google
Sunnyvale, CA
5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or…
Added 5 days ago
Developer – GenAI (REMOTE)
Koniag Government Services
Chantilly, VA
Tuknik Government Services, LLC a Koniag Government Services company , is seeking a Developer – GenAI with a Secret security clearance to support TGS and our government customer. The…
Added 5 days ago
Software Engineer, Audio Applied Scientist
Meta
Redmond, WA
…products like Messenger, Video, Groups, News Feed, Search, AR/VR, GenAI and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced Audio…
Added 5 days ago
WI
(USA) Senior Manager, Data Science
Walmart Inc.
United States
- $143,000 to $286,000 USD / year
Lead the end-to-end development of ML and GenAI capabilities, including data strategy, experimentation, model development, evaluation, deployment, and iteration.
Added 5 days ago
Senior Software Engineer
Kohl's
Clifton Park, NY
Experience building and performance tuning ETL pipelines using Technologies like Apache Airflow, spark, python/scala.
Added 5 days ago
Petrotechnical Data Solutions Engineer (Upstream)
Deloitte
Nashville, TN
4+ years experience with SQL and Python (or R) for data analysis and modeling
Added 5 days ago
AI Engineer
Teradata
Nashville, TN
Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions.

JPMC page

Lead Software Engineer Python GenAI

Wilmington, DE, United States
Houston, TX, United States
Plano, TX, United States

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Job details

Experience: Formal training or certification in software engineering concepts and 5+ years of applied experience.
Posting language: English
Posted: Oct 27, 2026

Original job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As an Lead Software Engineer Python GenAI at JPMorgan Chase within the Corporate Sector's Model Delivery and Platform Engineering team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Designs, codes, tests, and delivers automation (including LLMs/agents) to eliminate manual operational work and streamline AO workstreams’ remediations (e.g., control items, security vulnerabilities, upgrades, and FARM findings).
Governs application risk, controls, and compliance: owns adherence to firm standards, partners with Technology Risk & Controls, manages Technology Lifecycle Management (TLM), and drives closure of issues/findings (e.g., FARM) through effective remediation and evidence management.
Owns security and data accountability for the application: ensures strong authentication/authorization, vulnerability and certificate hygiene, and proper data registration/classification plus compliant storage, retention, and disposal.
Coordinates across product and engineering at scale to prioritize and drive execution with a clear sense of urgency for AO workstreams, including influencing/coaching teams and aligning execution across large developer communities.
Runs resilient, well-operated production services end-to-end: implements monitoring/logging and anomaly detection, maintains secure network configurations/least privilege, and leads/supports incident, problem, and change management and recovery/resiliency readiness.
Demonstrates and champions site reliability culture and practices and exerts technical influence throughout the team.
Leads initiatives to improve the reliability and stability of applications and platforms using data-driven analytics to improve service levels.
Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers.
Documents and shares knowledge within the organization via internal forums and communities of practice.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

Formal training or certification in software engineering concepts and 5+ years of applied experience.
Advanced development experience in Java or Python, with excellent debugging/troubleshooting skills for complex production issues.
Hands-on experience with AWS/other clouds and container platforms/orchestration (e.g., Docker, Kubernetes, ECS).
Experience building scalable data processing and Big Data/ETL pipelines (e.g., Hortonworks, AWS-based solutions).
Working knowledge of core infrastructure (routers, load balancers, compute, storage, networks, cloud products) and ability to troubleshoot common networking technologies/issues.
Deep proficiency in reliability, scalability, performance, security, enterprise architecture, and toil reduction, with the ability to implement SRE practices in applications/platforms.
Proficiency in white/black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
Ability to learn/evaluate new technologies, teach languages to others, and collaborate across levels and stakeholder groups.
Strong foundations in software applications/processes, with emerging depth in a discipline, and the ability to solve complex data structures/algorithms problems.
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting), with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Preferred qualifications, capabilities, and skills

Current AWS credential (e.g., Cloud Practitioner, Solutions Architect, SysOps Administrator, or Developer) demonstrating working knowledge of core AWS services, cloud architecture patterns, security and identity fundamentals (IAM), networking basics (VPC), monitoring/logging, and cost-awareness best practices.
Recognized automation/DevOps credential (e.g., Kubernetes/containers, CI/CD, Infrastructure as Code, or site reliability).

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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More about this job

Skills

Python
Regulatory compliance
Coaching
Change management
Root cause analysis
Test automation
Software development
Oracle Java
Debugging
Troubleshooting
AWS
Docker
Kubernetes
Process data
Data engineering
Troubleshoot
Grafana
Dynatrace
Prometheus
Datadog
Splunk
Teach languages
Software development tools
Identity and access management
DevOps
CI/CD
Infrastructure as code
Transaction processing
Child care
Mental health
Compensation and benefits

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