Applied Ai/ml Vp – Global Private Bank Ops Core Tech jobs at Jpmorgan in United States, Plano

As a Generative AI Software Engineer II at JPMorgan Chase within the Corporate Sector, CTO office, you will be instrumental in promoting the progress and application of state-of-the-art AI technologies. Your role will focus on key development tasks, leveraging your expertise to enhance the design and execution of pioneering generative AI frameworks.

Job Responsibilities:

• Generative AI Development : Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives.
• Technical Expertise : Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies to enhance AI capabilities.
• Programming Proficiency : Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
• Front-End Development : Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
• Cloud Integration : Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
• Automation and Stability : Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
• Collaboration : Work closely with cross-functional teams to contribute to the evaluation and refinement of architectural designs for AI systems, ensuring scalability and robustness.
• Continuous Learning : Engage in communities of practice to stay updated on new generative AI technologies, fostering a culture of continuous innovation.
• Team Culture : Support a team culture of diversity, equity, inclusion, and respect, fostering an environment conducive to innovative AI development.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on Programming Proficiency concepts and 2+ years applied experience.
• Programming Proficiency: Minimum 2+ years of strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.
• Generative AI: one year of experience in generative AI development and prompt engineering.
• System Design: Proven experience in system design, application development, testing, and operational stability in AI projects.
• Front-End Development: Minimum of one year of strong experience with React or Angular.
• Cloud Expertise: one year of AWS experience is a must-have.

Preferred qualifications, capabilities, and skills:

• A passionate interest in staying current with the latest development trends and exploring innovative AI technologies.
• Tool Proficiency: Experience with LLM models and agentic tools.
• Agile Methodologies: Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.

Job Description:

As a Data Engineer - Databricks in our Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.

Job Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Provide guidance to the immediate team of software engineers on daily tasks and activities.
• Set the overall guidance and expectations for team output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in data mapping, data architecture, and data modeling on Databricks.
• Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.
• Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).
• Strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences.
• Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
• Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.
• Experience in building Notebooks with complex code structures and debugging failed jobs.
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
• Proven ability to deliver high-quality features into production systems in a rapid-paced, iterative development environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with machine learning and data science workflows.
• Familiarity with data visualization tools and techniques.
• Knowledge of data governance and security best practices.
• Experience in carrying out data analysis to support business insights.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Be accountable for decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team
• Creates a culture of diversity, opportunity, inclusion, and respect for team members and prioritizes diverse representation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise

• Practical cloud native experience and Certified in Public cloud with AWS required.
• System Design, Design Patterns, Architecture, Strong Hands-on, Java, Microservices, Kafka, AWS techstack like EKS, EMR, EC2, S3 Buckets, Networking, infrastructure, Database (Postgres, Dynatrace), FinOps, Resiliency, Observability, POC, Prototyping and experimentation with latest and greatest market tech stack
• Experience leading teams of technologists
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives
• Experience with hiring, developing, and recognizing talent
• In-depth knowledge of the services industry and their IT systems
• Practical cloud native experience
• Experience in Computer Science, Engineering, Mathematics, or a related field and expertise in technology disciplines

Preferred qualifications, capabilities, and skills

• Preferably AWS Solutions Architect – Associate or Professional
• Soft Skills Like presenting, Negotiating, Mentorship, stakeholder management

As a Treasury Management Officer in Government Banking serving the Mid-Atlantic region based out of Washington DC, you will generate new treasury management business and maintain relationships with State and Local Governments. You will leverage your deep treasury product knowledge to develop and execute a localized market and product strategy while developing partnerships with Bankers, Associates, Analysts , Client Service, Product Leadership (Core Cash, Card and Commerce Solutions) and Implementation teams.

Job Responsibilities

• Grow revenue by successfully prospecting and sourcing new treasury management business while retaining and expanding existing customer relationships.
• Create strategic dialogues around key client-centric issues, incorporating best practices, industry benchmarking, opportunity quantification and solution positioning
• Collaborate with bankers and clients at senior and strategic levels to proactively provide integrated treasury solutions within a consultative and client driven framework
• Independently lead business process reviews aligned to key client sales opportunities and engage industry solutions specialist for complex client business process reviews
• Raise new solution ideas while partner with internal product stakeholders to represent the client perspective in the development and evolution of complex products and solutions
• Deliver thought leadership to the market, prospects and clients on the working capital solutions at client roundtables, industry conferences, webinars, and professional media platforms.
• Manage the non-credit risk for customer portfolio and monitor and enhance profitability of all assigned relationships

Required Qualifications, Capabilities and Skills

• 6+ years of cash management, sales and relationship management experience
• Success developing new business with focus on prospecting utilizing strong selling and negotiation skills
• Knowledge and understanding of Treasury Service products, credit and risk process, overdraft management discipline, and pricing philosophy
• Excellent verbal and written communication skills
• Ability to develop strong working relationships with clients, colleagues, external centers of influence (COI), and external consulting organization
• Strong time management, organizational and planning skills

• Demonstrated experience of meeting or exceeding sales goals; proven top individual contributor

Preferred Qualifications, Capabilities and Skills

• Bachelor’s degree
• Certified Treasury Professional designation

• Strong creative solution and problem-so

As a Digital Learning Developer in the Operational Learning team, you will be instrumental in creating engaging digital learning solutions that support business upskilling. You will work in a dynamic environment, balancing startup-like agility with the structured scale of a Fortune 50 enterprise.
Job Responsibilities

• Design and develop impactful digital learning solutions
• Use agile development tools and processes to create engaging and interactive learning content, such as: e-learning courses, infographics, animations, simulations, assessments, microlearnings, and learning-games
• Ensure training content adheres to audio/visual technical specification, as well as brand guidelines, accessibility standards, and industry best practices
• Work on multiple large scale projects with multiple stakeholders as part of a global Learning Development team
• Produce high quality solutions and maintain project schedules consistently

Required Qualifications, Capabilities, and Skills An ideal candidate will:

• Have strong experience in building digital learning
• Thrive in dynamic environments, balancing startup-like agility with the structured scale of a Fortune 50 enterprise
• Have an up-to-date knowledge of current trends and developments in e-learning, inclusive of and specifically, advancements in AI usage in learning
• Have knowledge of WCAG 2.1 levels A-AA requirements and experience developing fully accessible digital solutions
• Be experienced in designing engaging learning interventions, not your “traditional” page-turners
• Maintain and develop their knowledge in educational technology, adult learning and educational best practices

Tech Stack and Tools:

• Adobe Creative Suite applications
• LMS platforms (e.g., Oracle)
• Articulate Storyline
• SCORM
• Figma
• Microsoft Office Tools
• Vyond
• Centrical
• LLMs/AI
• Synthesia

As a AI/ML Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:

• Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements.
• Provide mentorship and guidance to junior engineers.
• Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
• Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
• Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
• Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
  Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
• Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness.
• Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.

Required qualifications, capabilities, and skills:

• Minimum 5+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch.
• One year of experience in generative AI development and prompt engineering.
• Proven experience in system design, application development, testing, and operational stability in AI projects.
• Minimum of 3+ years of strong experience with React or Angular.
• 1+ year of AWS experience is a must-have.
• Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
• Experience with LLM models and agentic tools.

Preferred qualifications, capabilities, and skills:

• Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
• Familiarity with data engineering practices to support AI model training and deployment.
• Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
• Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
• Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.

As a Senior Associate Recruiter in Private Banking, you will ensure your clients are best positioned to attract, source and recruit top talent, both internally and externally. Your primary responsibilities include staffing the business with quality hires, providing strategic talent acquisition solutions and proactive pipelining for future needs. As a segment subject matter expert, you will manage the end to end recruitment lifecycle for roles within your segment.

Job Responsibilities

• Qualify new requisitions, ensuring information is accurate and job descriptions align with global guidance
• Lead requirement intake calls with hiring managers and offer guidance on the recruitment processes, controls and policies
• Proactively map talent, create, add to, and manage candidate talent pools and operate as a specialist within your market
• Source and pipeline qualified candidates through a wide variety of channels, supported by your aligned sourcing partner when required
• Evaluate (screen), interview and present qualified candidates to hiring managers
• Partner with the interview scheduling team to arrange candidate interviews with hiring teams
• Provide a positive candidate experience with frequent and timely communication throughout the recruitment process; share manager feedback and appropriately disposition candidates in real time
• Act as a subject matter expert, influencing decision making and effectively manage hiring manager and candidate expectations
• Conduct pre-offer candidate calls and take ownership of offer negotiation and management
• Liaise with hiring managers, human resources, and compensation partners to ensure appropriate offer approvals are in place
• Present to and update senior client groups on recruiting activity and manage escalations effectively

Required qualifications, capabilities, and skills

• 5+ years of experience working within a recruiter role either in-house or within a talent acquisition agency
• Experience sourcing and pipelining talent
• Demonstrate excellent client management skills
• Demonstrated ability to build relationships and deliver a first class candidate experience
• Excellent communication skills both written and verbal
• Demonstrated ability to present recruiting activity to senior clients when required
• Demonstrated ability to manage client expectations and escalations where appropriate
• Good prioritization and organizational skills with the ability to multi-task
• Demonstrated ability to work independently and as part of a wider team