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Senior Director Software Engineering - Api Marketplace jobs at Jpmorgan in United States, Seattle

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37 jobs found
17.09.2025
JPM

JPMorgan Applied AI ML Senior Associate GenAI LLM United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
Serves as a subject matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency...
Description:
As anwithin our

Job responsibilities
  • Serves as a subject matter expert on a wide range of ML techniques and optimizations.
  • Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
  • Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
  • Conducts experiments using latest ML technologies, analyzing results, tuning models
  • Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
  • Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
  • Integrates Generative AI within the ML Platform using state-of-the-art techniques.
Required qualifications, capabilities, and skills
  • MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 2 years of applied machine learning experience.
  • At least 4 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
  • At least 2 years’ experience in applying data science, ML techniques to solve business problems.
  • Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with machine learning and deep learning methods.
  • Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
  • Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
  • Ability to work on tasks and projects through to completion with limited supervision.
  • Passion for detail and follow through. Excellent communication skills and team player.
Preferred qualifications, capabilities, and skills
  • Master’s degree in computer science, ML or related areas
  • Experience with Ray, MLFlow, and/or other distributed training frameworks.
  • In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
  • Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
  • Experience working with large-scale MLOps pipelines, working with and deploying models to production services.
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17.09.2025
JPM

JPMorgan Senior Lead Software Engineer- AI Platform engineer United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
Provide technical guidance and direction to support business objectives, collaborating with technical teams, contractors, and vendors. Develop secure, high-quality production code, and review and debug code written by others. Influence...
Description:
Description

Required qualifications, capabilities, and skills

  • Provide technical guidance and direction to support business objectives, collaborating with technical teams, contractors, and vendors.
  • Develop secure, high-quality production code, and review and debug code written by others.
  • Influence product design, application functionality, and technical operations through informed decision-making.
  • Advocate for firmwide frameworks, tools, and practices within the Software Development Life Cycle.
  • Promote a culture of diversity, equity, inclusion, and respect within the team.
  • Architect and deploy secure, scalable cloud infrastructure platforms optimized for AI and machine learning workloads.
  • Collaborate with AI teams to translate computational needs into infrastructure requirements.
  • Monitor, manage, and optimize cloud resources for performance and cost efficiency.
  • Design and implement continuous integration and delivery pipelines for machine learning workloads.
  • Develop automation scripts and infrastructure as code to streamline deployment and management tasks.

Required Qualifications:

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • Hands-on experience in system design, application development, testing, and operational stability.
  • Proficiency in programming languages such as Python and/or Golang.
  • Ability to independently tackle design and functionality problems with minimal oversight.
  • Background in Computer Science, Computer Engineering, Mathematics, or a related technical field.
  • Strong knowledge of cloud computing delivery models (IaaS, PaaS, SaaS) and deployment models (Public, Private, Hybrid Cloud).
  • Proficiency in Linux environments, including scripting and administration.
  • Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.
  • Experience in solutions design and engineering, containerization (Docker, Kubernetes), and cloud service providers (AWS, Azure, GCP).
  • Experience with Infrastructure as Code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).
  • Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security, and routing/switching technologies.

Preferred Qualifications:

  • Foundational understanding of NVIDIA GPU Infrastructure software (e.g., NVIDIA DCGM, BCM, Triton Inference).
  • Hands-on experience with ML frameworks such as PyTorch, TensorBoard.
  • Experience with observability tools like Prometheus, Grafana.
  • Experience in ML Ops and associated tooling like MLflow.
  • Experience with High Performance Computing and Machine Learning frameworks such as vLLM, Ray.io, Slurm.
  • Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
  • Familiarity with cloud data services and big data processing tools.
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17.09.2025
JPM

JPMorgan Lead Software Engineer - AI Operations United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
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...
Description:

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
  • Deliver AI/ML based solutions to improve Kubernetes platforms for JPMC
  • Regularly provides technical guidance and direction to support the business and its technical teams

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • 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.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience
  • Experience applying data engineering and machine learning techniques
  • Experience in Generative AI, LLMs and AI Agents
Preferred qualifications, capabilities, and skills
  • Experience working with modern private & public cloud infrastructure platforms - Kubernetes, AWS EKS Terraform, Ansible and other automation tools.
  • Experience in multiple Cloud platforms like GCP GKE is a plus
  • Knowledge of deep learning and ML Ops workflows
  • Experience in Time Series analysis, including forecasting, anomaly detection, and trend analysis
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16.09.2025
JPM

JPMorgan Applied AI ML Senior Associate - Data Platform United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage. Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques. Implement, deliver, and support...
Description:

As a
Applied AI ML Sr Associate at JPMorgan Chase within the Corporate Sector – AIML Data Platforms,you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery.

You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key.

Job Responsibilities

  • Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage.
  • Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques.
  • Implement, deliver, and support high-quality ML solutions in partnership with a team of ML Engineers.
  • Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions.
  • Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems.
  • Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks.
  • Drive the adoption and execution of AI/ML Platform tools across various teams.
  • Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth.

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree or equivalent practical experience in a related field.
  • 6+ years of experience in engineering management with a strong technical background in machine learning.
  • Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn).
  • Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture.
  • Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators.
  • Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems.
  • Strategic thinker with the ability to craft and drive a technical vision for maximum business impact.

Preferred Qualifications, Capabilities, and Skills

  • Strong coding skills and experience in developing large-scale AI/ML systems.
  • Proven track record in contributing to and optimizing open-source ML frameworks.
  • Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents.
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16.09.2025
JPM

JPMorgan Software Engineer III - Infrastructure Platforms United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
Participate on technology audit engagements, from planning to reporting, and produce quality deliverables to both department and professional standards, while ensuring audits are completed timely and within budget. Work closely...
Description:

As a Technology Auditor - Associate within the Asset & Wealth Management (AWM) Technology Audit Team, you will execute the annual audit plan, participate in audit engagements by performing audit testing, and participate in various continuous monitoring efforts. This position is ideal for someone with knowledge of various technologies, operating systems, databases and data analytical skills, as well as the audit and risk skills to be able to effectively execute global technology audits.

Job responsibilities

  • Participate on technology audit engagements, from planning to reporting, and produce quality deliverables to both department and professional standards, while ensuring audits are completed timely and within budget.
  • Work closely with global Audit colleagues in the early identification of emerging control issues, and report them in a timely manner to Audit management and business stakeholders
  • Partner with stakeholders, business management, other control groups (i.e. risk management, compliance, fraud prevention), establishing strong working relationships while maintaining independence
  • Finalize audit findings and use judgment to provide an overall opinion on the control environment by developing recommendations to strengthen internal controls
  • Communicate audit findings to management, and identify opportunities for improvement in the design and effectiveness of key controls
  • Stay up-to-date with evolving industry/regulatory changes impacting the business and participate in appropriate control forums
  • Find ways to drive efficiency with existing technical infrastructure through automation while embracing the innovative opportunities offered by new technologies
  • Recognize the confidential nature of Internal Audit communications and access to information; exercise discipline in protecting the confidentiality and security of information in accordance with firm policy.

Required qualifications, skills and capabilities

  • Knowledge and experience in various Technology and Cyber domains, for e.g., Software Lifecycle Development (SDLC), Vulnerability Management, Change Management, etc.
  • Understanding of internal control concepts, with proven ability to evaluate and determine the adequacy of controls by considering business and technology risks in an integrated manner.
  • Strong data analytical skills with extensive experience and ease of use with industry-leading data analytics tools such as Alteryx and Tableau.
  • Strong analytical skills, particularly with regards to assessing the probability and impact of an internal control weakness.
  • Excellent written, verbal, and presentation skills; adept at presenting complex and sensitive issues to senior management and strong interpersonal and influencing skills, with the ability to establish credibility and build partnerships with senior business and control partners.
  • Enthusiastic and self-motivated, with a keen interest in learning; effective under pressure and willing to take personal responsibility/accountability as well as flexible to changing business priorities and ability to multitask in a constantly changing environment.

Preferred qualifications, skills and capabilities

  • Experience with internal audit methodology and applying concepts in audit delivery and execution preferred.
  • Certified in CISA, CISM or other technology audit certifications.
  • Bachelor's degree in Technology or related field
  • Preferred internal or external technology auditing experience, or relevant technology risk and control management experience.
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16.09.2025
JPM

JPMorgan Lead Software Engineer-AI Platform Engineer United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to build solutions or resolve technical problems. Develop secure, high-quality production code,...
Description:

Job Responsibilities:

  • Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to build solutions or resolve technical problems.
  • Develop secure, high-quality production code, and review and debug code written by others.
  • Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems.
  • Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessments of architectural designs, technical credentials, and their applicability within existing systems and information architecture.
  • Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies.
  • Contribute to a team culture of diversity, equity, inclusion, and respect.
  • Develop and deploy cloud infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloads.
  • Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements.
  • Monitor, manage, and optimize cloud resources to maximize performance and minimize costs.
  • Design and implement continuous integration and delivery pipelines for machine learning workloads.
  • Develop automation scripts and infrastructure as code to streamline deployment and management tasks.

Required Qualifications, Capabilities, and Skills:

  • Formal training or certification in software engineering concepts with 5+ years of applied experience.
  • Hands-on practical experience in delivering system design, application development, testing, and ensuring operational stability.
  • Advanced proficiency in one or more programming languages such as Python and/or Golang.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
  • Proficiency in Linux environments, including scripting and administration.
  • Foundational understanding of machine learning concepts, including transformer architecture, ML training, and inference.
  • Experience in solutions design and engineering, containerization (Docker, Kubernetes), and cloud service providers (AWS, Azure, GCP).
  • Experience with Infrastructure as Code (Terraform, CloudFormation) and automation tools (Ansible, Chef, Puppet).
  • Deep understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security, and routing/switching technologies.
Preferred qualifications, capabilities, and skills
  • Foundational understanding of NVIDIA GPU Infrastructure software (e.g., NVIDIA DCGM, BCM, Triton Inference).
  • Hands-on experience with ML frameworks such as PyTorch, TensorBoard.
  • Experience with observability tools like Prometheus, Grafana.
  • Experience in ML Ops and associated tooling like MLflow.
  • Experience with High Performance Computing and Machine Learning frameworks such as vLLM, Ray.io, Slurm.
  • Strong background in network architecture, database programming (SQL/NoSQL), and data modeling.
  • Familiarity with cloud data services and big data processing tools.
Show more

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16.09.2025
JPM

JPMorgan Business Relationship Manager Senior Acquisition-Vice Presid... United States, Washington, Seattle

Limitless High-tech career opportunities - Expoint
Acquire, retain and deepen a portfolio of approximately 40 business clients and 60 prospects in a growth/expansion stage with annual revenue greater than ~$3 million; provide business deposit and cash...
Description:

As a Business Relationship Manager Senior (BRM) Acquisition banker in Business Banking, you’ll be developing and managing a portfolio of large profitable business clients with annual revenue greater than ~$3MM. You’ll focus on business development, acquiring balances, deepening product utilization, and gaining referrals to increase primary bank share. As a Senior Acquisition banker, you will provide a high-touch experience by building relationships and providing financial advice with a focus on client experience and risk management, while focusing on acquiring new relationships, retaining and deepening existing relationships.

Job Responsibilities

  • Acquire, retain and deepen a portfolio of approximately 40 business clients and 60 prospects in a growth/expansion stage with annual revenue greater than ~$3 million; provide business deposit and cash management solutions and manage business credit opportunities up to $15 million; provide support to branch-based business bankers on sizeable business credit deals as needed
  • Deliver an outstanding experience to Chase business clients by providing comprehensive and customized business banking solutions tailored to the financial needs and circumstances of their businesses
  • Grow portfolio by prospecting for new clients whose businesses are in expansion mode; utilize extensive referral networks and centers of influence to independently identify and pursue potential new business clients, looking for ways to cultivate long-term primary banking relationships.
  • Develop strong referral network internally in partnership with Private Bank, Asset Wealth Management, Middle Market and One Chase to identify new opportunities for all partners
  • Leverage knowledge of diverse types of businesses, industries, markets, financial and economic concepts, as well as creative marketing techniques utilizing Chase resources and materials to develop business network and prospects
  • Develop relationships with clients, prospect and centers of influence through in-person/virtual calls to understand the needs of the business and its owners and develop the full financial relationship
  • Understand the personal financial goals and needs of the owner(s). Utilize knowledge of personal banking products and partner with Branch, Wealth Management and Private Bank to identify and deliver appropriate personal financial solutions
  • Partner with product specialists to ensure clients are onboarded seamlessly with end-to-end delivery of new accounts and full suite of products and services. Leverage service team to deliver an outstanding client experience
  • Protect the firm by following sound risk management protocols and control policies and adhering to regulatory requirements

Required qualifications, capabilities, and skills

  • Minimum of 5 years’ experience in a Business Banking Relationship Management role or related business lending experience
  • Strong current business network; active involvement in community organizations such as Chambers of Commerce, non-profit boards
  • Demonstrates strong tactical business development and negotiation skills. Self-directed, proactive, and creative; uses sound judgment and navigates ambiguity to get things done
  • Strong relationship-building and excellent communication skills with individuals at all levels, internally and externally. Ability to influence others to achieve desired outcomes and leverage technology to interact with clients effectively and efficiently
  • Strong knowledge of deposit and cash management products and services, and knowledge of business credit underwriting with commercial credit training. Uses seasoned judgment to offer comprehensive and customized solutions that best meet client needs; monitors and researches market/industry trends and business outcomes to anticipate client needs; presents proactive solutions and innovative alternatives when appropriate
  • Balance needs of clients with associated risks and interests of the firm
  • Excellent organizational skills and the ability to manage, prioritize, work under pressure and meet tight deadlines

Preferred qualifications, capabilities, and skills

  • Bachelor’s degree in Finance or related field, or equivalent work experience
  • Minimum of 3 years’ managing clients >$10+MM revenue
  • In-depth knowledge of diverse types of businesses, industries, markets, financial and economic concepts
  • Proficient in Microsoft Office tools including Outlook, Excel, Word, and PowerPoint
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These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Serves as a subject matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency...
Description:
As anwithin our

Job responsibilities
  • Serves as a subject matter expert on a wide range of ML techniques and optimizations.
  • Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
  • Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
  • Conducts experiments using latest ML technologies, analyzing results, tuning models
  • Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
  • Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
  • Integrates Generative AI within the ML Platform using state-of-the-art techniques.
Required qualifications, capabilities, and skills
  • MS and/or PhD in Computer Science, Machine Learning, or a related field, with at least 2 years of applied machine learning experience.
  • At least 4 years' experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
  • At least 2 years’ experience in applying data science, ML techniques to solve business problems.
  • Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Hands-on experience with machine learning and deep learning methods.
  • Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
  • Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
  • Ability to work on tasks and projects through to completion with limited supervision.
  • Passion for detail and follow through. Excellent communication skills and team player.
Preferred qualifications, capabilities, and skills
  • Master’s degree in computer science, ML or related areas
  • Experience with Ray, MLFlow, and/or other distributed training frameworks.
  • In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
  • Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
  • Experience working with large-scale MLOps pipelines, working with and deploying models to production services.
Show more
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