Principal Cybersecurity Architect - Ai/ml Security 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.

As an Associate Project Manager in the P&A Transformation team, you will drive transformation by collaborating with cross-functional teams to identify, plan, and execute digital and process transformation projects. You will support tangible change by aiding in the evaluation and redesign of operating models to better align with emerging technology trends, ensuring smooth transition and value realization.

Job Responsibilities

• Driving Transformation: Collaborate with teams to plan and execute digital and process transformation projects using modern tools and methodologies.
• Supporting Change: Evaluate and redesign operating models to align with technology trends like Cloud, AI/ML, and data analytics, ensuring smooth transitions.
• Modernizing Project Management: Apply agile and traditional methodologies to manage project scope, timelines, risks, and deliverables effectively.
• Coordinating Project: Oversee P&A and Controllers transformation projects, define scopes, develop plans, and ensure timely delivery while managing dependencies and risks.
• Handling Stakeholder Engagement: Facilitate project updates and alignments with LOB leads and technology teams, ensuring effective communication and collaboration.
• Processing & Digital Support: Partner with teams to document business requirements, test digital solutions, and develop training materials for new systems.
• Operating Model & Data Insights: Document and refine process flows and system integrations, leveraging technical know-how to support cloud-based initiatives

Required qualifications, capabilities, and skills

• Bachelor’s degree in Finance, Business Administration, or a related field.
• A minimum of 4+ years of experience in project management or business analysis, with proven exposure to large-scale transformation initiatives ideally within P&A or Controllers functions.
• Demonstrated familiarity with project management tools and methodologies, including Agile/ SCRUM, Waterfall, and traditional change management practices.
• Excellent communication and presentation skills with the ability to engage diverse stakeholders.
• Strong organizational and multitasking abilities to manage projects in a dynamic environment.
• Proficiency with Microsoft Office applications (Excel, Visio, PowerPoint) and basic understanding of data management and cloud architecture principles.

Preferred qualifications, capabilities, and skills

• Advanced technical acumen with exposure to Cloud technologies such as AWS or Databricks.
• Experience with digital transformation tools, data analytics, or business intelligence platforms.
• Certification in Project Management (PMP or Agile methodologies) is a plus.
• Knowledge of AI/ML concepts and digital automation.
• Proven track record in driving process improvements and modernizing business practices.

Note: This position isnoteligible for sponsorship

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.

Job Responsibilities:

• Manage the day-to-day operations of the Asset Servicing team for the JP Morgan Wealth Management business, including performance management, staff development, training, operational controls, and adherence to policies and procedures.
• Handle the entire life cycle of corporate actions, ensuring accurate and timely processing to meet client and regulatory requirements.
• Oversee all aspects of class actions, from initiation to resolution, ensuring compliance and optimal outcomes for clients.
• Collaborate with Client Services, Bankers, Treasury Services, and other Operations organizations to enhance client experience.
• Drive the transformation agenda and work with global teams such as Technology and other transformation groups.
• Lead through effective communication, influence, and people management to drive results.
• Operate effectively in a high-volume, rapid-paced, deadline-oriented environment, manage KPIs to ensure quality and timeliness, and make data-driven decisions for enhanced client experience.
• Proactively manage escalations related to delivery issues, promote process improvement ideas, share best practices, manage risk, identify issues, and escalate as necessary.
• Create an effective control environment within the team, assist in developing, implementing, and periodically performing key controls, and establish effective partnerships with onshore leads/stakeholders through proactive communication, business reviews, and governance models.

Required Qualifications, Capabilities, and Skills:

• Graduate Degree.
• At least 12 years of experience in Financial Services, Operations, or management in Investment Banking Wealth Management.
• Proven track record of effective leadership relative to strategic change management and process re-engineering, including technology-driven projects.
• Strong ability to build relationships with and influence colleagues, business leaders, and functional partners.
• Strong industry experience with an understanding of standards and practices in wealth management operations.
• Highly motivated individual with strong people management skills, problem-solving, and decision-making abilities.

Preferred Qualifications, Capabilities, and Skills:

• Securities Operations experience is preferred.
• Experience with strategic change management and process re-engineering.
• Strong analytical skills with high accuracy and attention to detail.
• Excellent communication skills with an aptitude for decision-making and problem-solving.
• Experience with technology-driven projects and tools such as Alteryx, Signavio, and Tableau.
• Ability to challenge the status quo and express opinions confidently.
• MBA or other postgraduate degree is a plus.

As an Applied AI/ML Vice President within our dynamic team, you will utilize your quantitative, data science, and analytical skills to tackle complex problems. Your role will involve collaborating with various teams to design, develop, evaluate, and execute data science and analytical solutions, all while maintaining a deep functional understanding of the business problem at hand. Your responsibilities will also include data wrangling, data analysis, and modeling, which encompasses model selection and the creation of swift, applicable modeling solutions.

Job responsibilities

• Engaging with stakeholders and understanding business requirements,
• Developing AI/ML solutions to address impactful business needs,
• Working with other team members to productionize end-to-end AI/ML solutions,
• Engaging in research and development of innovative relevant solutions,
• Coaching other AI/ML team members towards both personal and professional success,
• Collaborating with other teams across the firm to attain the mission and vision of the team and the firm

Required qualifications, capabilities, and skills

• Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research)
• Experience in the application of AI/ML to a relevant field
• Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised.
• Strong experience in natural language processing (NLP) and its applications.
• Solid coding level in programming languages, like Python, R, and C++, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects.
• Previous experience in working on Spark, Hive, and SQL,

Preferred qualifications, capabilities, and skills

• Financial service background
• PhD in one of the above disciplines with minimum 3 years of relevant experience or Master in one of the above disciplines with minimum 5 years of relevant work experience