LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
or continue with e-mail and password
Forgot password?
Don't have an account?
Create an account
or continue with e-mail and password
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Lead Software Engineer - AI/ML

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 13 days ago

No clicks

**Lead Software Engineer - Python, AI/ML** - **Senior-level role** in **Plano, TX** driving business impact with **AI/ML** and **Python** prowess. - Key responsibilities: **Innovative software solutions**, **code reviews**, **system improvements**, **vendor evaluations**, **technical community leadership**, and fostering **inclusive team culture**. - **Must-have**: 5+ years of applied software engineering experience, **Python proficiency**, familiarity with **AI/ML techniques** (LLMs, Generative AI, NLP), and **Python data structures** & algorithms understanding. - **Preferred**: **AWS certifications** (Associate or Professional), **financial services industry** knowledge, and **practical cloud-native experience**.

Compensation
Not specified USD

Currency: $ (USD)

City
Dallas
Country
United States

Full Job Description

Location: Plano, TX, United States

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Bank, you drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

 

Job responsibilities

 

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

  • Develops secure high-quality production code, and reviews and debugs code written by others

  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

  • Adds to team culture of diversity, opportunity, inclusion, and respect

  •  

    Required qualifications, capabilities, and skills

     

  • Formal training or certification in software engineering concepts and 5+ years applied experience

  • Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)

  • Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants

  • Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions

  • Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)

  • Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability

  • Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS)

  • Hands-on practical experience delivering system design, application development, testing, and operational stability

  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

  •  
    Preferred qualifications, capabilities, and skills
     
     
  • Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)

  • AWS Certifications (Solution Architect Associate or Professional) are advantageous

  • In-depth knowledge of the financial services industry and their IT systems

  • Practical cloud native experience

  •  

    Lead Software Engineer AI/ML

    Lead Software Engineer - AI/ML

    Compensation

    Not specified USD

    City: Dallas

    Country: United States

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    13 days ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    **Lead Software Engineer - Python, AI/ML** - **Senior-level role** in **Plano, TX** driving business impact with **AI/ML** and **Python** prowess. - Key responsibilities: **Innovative software solutions**, **code reviews**, **system improvements**, **vendor evaluations**, **technical community leadership**, and fostering **inclusive team culture**. - **Must-have**: 5+ years of applied software engineering experience, **Python proficiency**, familiarity with **AI/ML techniques** (LLMs, Generative AI, NLP), and **Python data structures** & algorithms understanding. - **Preferred**: **AWS certifications** (Associate or Professional), **financial services industry** knowledge, and **practical cloud-native experience**.

    Full Job Description

    Location: Plano, TX, United States

    Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

    As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community Bank, you drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

     

    Job responsibilities

     

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

  • Develops secure high-quality production code, and reviews and debugs code written by others

  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

  • Adds to team culture of diversity, opportunity, inclusion, and respect

  •  

    Required qualifications, capabilities, and skills

     

  • Formal training or certification in software engineering concepts and 5+ years applied experience

  • Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT)

  • Experience integrating AI/ML techniques into software systems, including familiarity with LLMs, Generative AI, NLP, RAG, AI evals and coding assistants

  • Managing and mentoring software engineering or AI/ML teams, with experience as a hands-on practitioner delivering production-grade solutions

  • Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)

  • Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing, and operational stability

  • Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS)

  • Hands-on practical experience delivering system design, application development, testing, and operational stability

  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

  •  
    Preferred qualifications, capabilities, and skills
     
     
  • Experience working at code level with advanced AI/ML business applications (e.g., LLMs, Generative AI, NLP)

  • AWS Certifications (Solution Architect Associate or Professional) are advantageous

  • In-depth knowledge of the financial services industry and their IT systems

  • Practical cloud native experience

  •  

    Lead Software Engineer AI/ML