1

Bank Python Jobs in Mount Prospect, IL (NOW HIRING)

Lead AI Engineer - Observability

Chicago, IL · On-site

$105K - $139K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable, maintainable applications using Python and microservices-based architectures

Lead AI Engineer - Observability

Chicago, IL · On-site

$105K - $139K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable, maintainable applications using Python and microservices-based architectures

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... in SAS, Python, SQL, or similar Understanding of AML regulations Ability to interpret and ...

Senior Data Scientist

Chicago, IL · On-site

$132K - $155K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics ...

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Strong skills in Microsoft Excel and Office Suite; programming experience (e.g., VBA, Python, SQL ...

Databricks, Python, SQL, SASa plus Location expectations: This role requires working from a U.S. Bank location three (3) or more days per week. If there's anything we can do to accommodate a ...

Lead AI Engineer - Observability

Chicago, IL · On-site

$105K - $139K/yr

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable, maintainable applications using Python and microservices-based architectures

AI Red Team Lead Engineer

Chicago, IL

$105K - $139K/yr

... Python, PowerShell, Go, C/C++, Shell) * Ability to translate research into operational tooling * Exceptional written and verbal communication skills This role requires working from a U.S. Bank ...

Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Python, SQL, or similar • Understanding of AML regulations • Ability to interpret and ...

Showing results 21-40

Bank Python information

See Mount Prospect, IL salary details

$13

$58

$85

How much do bank python jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for bank python in Mount Prospect, IL is $58.24, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.15 per hour, depending on experience, location, and employer.

What is a Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What are the key skills and qualifications needed to thrive as a Bank Python developer?

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

What is the difference between Bank Python vs Bank Data Analyst?

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

What are popular job titles related to Bank Python jobs in Mount Prospect, IL?

For Bank Python jobs in Mount Prospect, IL, the most frequently searched job titles are:

What job categories do people searching Bank Python jobs in Mount Prospect, IL look for?

The top searched job categories for Bank Python jobs in Mount Prospect, IL are:

What cities near Mount Prospect, IL are hiring for Bank Python jobs?

Cities near Mount Prospect, IL with the most Bank Python job openings:

Infographic showing various Bank Python job openings in Mount Prospect, IL as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $121,138 per year, or $58.2 per hour.

Lead AI Engineer - Observability

Chicago, IL • On-site

Us Bank
Banking and Credit Intermediation • 10K+ employees

$105K - $139K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 364 frontline employees who took The Breakroom Quiz


Job description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

Job Summary

The Lead Engineer (Generative AI) is a senior technical role responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems.

The role partners across engineering, product, and business teams to translate complex requirements into production-ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI.

Key Responsibilities

1. GenAI Solution Engineering

  • Design, develop, and deploy GenAI solutions leveraging:

    • Large Language Models (LLMs)

    • Retrieval-Augmented Generation (RAG) architectures

    • Prompt engineering techniques

    • Agentic AI workflows and orchestration

  • Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service

  • Evaluate emerging tools and frameworks to continuously improve solution quality and innovation

2. GenAIOps & Lifecycle Management

  • Lead the end-to-end lifecycle of GenAI solutions, including:

    • Solution architecture and engineering

    • Integration with enterprise systems

    • Secure deployment and release management

    • Monitoring, observability, and continuous optimization

  • Implement GenAIOps best practices to ensure scalability, reliability, and cost efficiency

  • Establish logging, evaluation, and feedback mechanisms for production AI systems

3. Cloud, Platform & Scalability Engineering

  • Architect and deploy GenAI applications across cloud environments (Azure and AWS)

  • Design distributed systems capable of supporting high-throughput, low-latency AI workloads

  • Leverage modern infrastructure practices:

    • Containerization (Docker)

    • Orchestration (Kubernetes)

    • Infrastructure as Code (Terraform, ARM/Bicep)

  • Ensure high availability, performance, and enterprise-grade security

4. Software Engineering & Architecture

  • Develop scalable, maintainable applications using Python and microservices-based architectures

  • Apply secure coding standards and robust data handling practices for regulated environments

  • Build and manage CI/CD pipelines supporting automated testing, deployment, and release management

  • Enforce engineering best practices including code reviews, testing, and documentation

5. Technical Leadership & Influence

  • Provide architectural leadership and guidance across GenAI initiatives

  • Drive critical design decisions for large-scale, complex AI solutions

  • Mentor and coach senior engineers and development teams

  • Translate business requirements into scalable, secure, and resilient technical solutions

  • Partner with stakeholders across product, business, risk, and security functions

Basic Qualifications

  • Bachelor’s degree, or equivalent work experience

  • Six to eight years of relevant experience

Experience Should Include

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

  • 8+ years of experience in software engineering, platform engineering, or AI/ML solutions

  • 2+ years hands-on experience with GenAI technologies, including LLMs and RAG architectures and vector databases

  • Strong knowledge of agentic AI concepts and frameworks (e.g., LangChain, LangGraph)

  • Experience with cloud platforms (Azure and/or AWS)

  • Deep understanding of distributed systems and scalable architecture patterns

  • Proficiency in Python and microservices-based development

  • Experience with Docker, Kubernetes, and Infrastructure as Code tools

  • Demonstrated technical leadership and mentoring experience

Preferred Qualifications

  • Experience implementing GenAI solutions in enterprise or regulated environments

  • Familiarity with observability frameworks and AI lifecycle tooling

  • Understanding of AI governance, security, and compliance requirements

  • Experience contributing to or working with AI/ML or GenAI frameworks

  • Background in financial services or other highly regulated industries

Core Competencies

Technical Depth & Innovation

  • Strong expertise in GenAI architectures and evolving AI technologies

  • Ability to balance experimentation with enterprise-grade reliability

Architecture & Systems Thinking

  • Designs scalable, distributed, and resilient systems

  • Aligns architecture decisions with enterprise standards and long-term strategy

Execution & Operational Excellence

  • Drives end-to-end delivery from concept through production

  • Ensures high standards for quality, security, and performance

Leadership & Collaboration

  • Influences without authority and leads through technical expertise

  • Mentors engineers and elevates overall team capability

Business & Stakeholder Alignment

  • Translates complex technical concepts into business outcomes

  • Partners effectively across product, engineering, and leadership teams

***This role requires working from a U.S. Bank location three (3) or more days per week.***

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $139,230.00 - $163,800.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

#J-18808-Ljbffr

What U.S. Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


U.S. Bank logo

About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media