Applied Ai/ml Lead jobs at Jpmorgan in United States, Palo Alto

The position requires extensive software development experience and strong industry experience in combining cryptography and security best-practices to secure complex IT infrastructure, customer-facing services, and sensitive customer and enterprise data.

Job responsibilities

• Assess existing cryptographic libraries
• Evaluate existing crypto-agile approaches and tools - help define and implement JPMC-centric solutions
• Define and develop tools or libraries for cryptography services
• Review architecture document for security services
• Assist with performance impact assessment of post-quantum cryptography implementations
• Conduct source code security review
• Communicate ongoing work with other teams or organizations
• Collaborate with cryptographers on specific topics

Required qualifications, capabilities, and skills

• Formal training or certification on security engineering concepts and 5+ years applied experience
• Solid track record of using cryptography software frameworks including, but not limited to, Java JCA and/or Bouncy Castle
• Strong understanding in applying mainstream cryptographic primitives, including digital signatures, public-key ciphers, block ciphers
• Strong understanding of network security protocols (TLS, SSH, IPsec etc.)
• Strong track record in software development, with experience working with tools like Github, Junit, Maven, Jenkins, CI/CD
• Good knowledge of public key infrastructure (PKI) and digital certificates (e.g., X.509)
• Security solution development utilizing cryptographic agility principles
• Ability to convey complex concepts and ideas in a clear and concise manner to a wide range of audience
• Proven track record in working with diverse teams to achieve goals
• Driving enterprise-wide transformative security technology initiatives

Preferred qualifications, capabilities, and skills

• Familiarity with upcoming NIST post-quantum cryptography standards and related migration efforts
• Basic knowledge on cryptanalysis, crypto system threat modeling and analysis
• NIST key management best practices
• Technology security certifications, e.g., FIPS 140-2/3, Common Criteria, PCI
• Proficiency in Java. Other programming languages like Go, C/C++, Python, C#, JavaScript or shell scripting good to have
• Engineering and managing cryptographic systems for enterprise applications and infrastructure
• MS or BS in computer science, preferably with a focus on security and/or cryptography

Job responsibilities

• Leads sessions with internal teams to drive optimal usage of tools and gateway configuration to ensure customer success
• 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
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Identifies and measures application SLAs, customer journeys and tool usage
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Develops secure high-quality production code and reviews and debugs code written by others
• Adds to team culture of diversity, equity, inclusion, and respect

• Contributes to the data pipeline to provide modern data services (ingestion, querying, governance).

• Identifies internal and stakeholders data needs and help deliver them in the best possible way.

• Delivers data collection, storage, access and analytics in a secure, stable and scalable way

Required qualifications, capabilities, and skills

• Formal training or certification on software engineers concepts and 5+ years of 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
• Practical cloud native experience
• Excellent verbal and written communication
• Strong problem-solving skills with a high level of accountability
• Experience with API Management Platform such as Apigee, AWS API Gateway, Kong, or Spring cloud gateway
• Experience in development, deployment strategies and support of REST and GraphQL API interfaces

• Experience with Identity and Access management services
• Experience in networking concepts (TCP/IP, DNS, TLS, HTTPS) and CDN technologies
• Experience in incident management and improving MTTx metrics.

• Experience working with modern data lakes and data warehouses

• Experience in building and optimizing data pipelines, architectures and datasets

• Experience with data visualization tools like Tableau, Power BI or similar is a plus

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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Hands-on experience with Spring Boot & Spring Webflux for developing scalable and efficient backend applications
• Proficiency in Kubernetes for container orchestration and management of microservices
• Proven expertise in Java programming with a strong grasp of object-oriented principles and design patterns.
• Experience with Apache Kafka for real-time data streaming and event-driven architectures
• Strong skills in SQL and relational databases, including design, querying, and optimization
• In-depth knowledge of the financial services industry and their IT systems
• Advanced knowledge of one or more software, applications, and architecture disciplines
• Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture

• Familiarity with GraphQL for building efficient and flexible APIs
• Experience with Java Message Service (JMS) for messaging and integration in distributed systems
• Knowledge of Spring Batch for handling large volumes of data and batch processing tasks

As a Payments Sales Associate within our dynamic sales team, you will play a crucial role in supporting Sales Managers in fostering client relationships and promoting cash management sales. Your responsibilities will encompass preparing client research, conducting industry analysis, and managing project assignments. Additionally, you will review and analyze transactional data, providing a unique insight into the client's cash management strategy, account structure, cash flows, product usage, and regional/global treasury setup. Your role will also involve acting as the client's representative in cross-functional partner engagement, ensuring alignment with the broader firm-wide interests and the clients' objectives.

Job Responsibilities

• Support Payment Sales Managers with their client portfolios.
• Understand clients' treasury and cash management structures and objectives.
• Develop knowledge of JPMorgan Payments products, pricing, and billing processes.
• Assist with call preparation, customer research, and client pitch books.
• Prepare account plans, business strategy reviews, and relationship reviews.
• Coordinate with product partners to deliver best-in-class cash management solutions.
• Lead RFP/RFI response coordination with internal teams.
• Contribute to sales and revenue goals through product extensions and growth opportunities.
• Finalize sales through documentation coordination and handoff to implementation teams.
• Help clients navigate the JPMorgan ecosystem as part of the client relationship team.
• Analyze data to identify trends or risk issues and provide actionable recommendations.

Required Qualifications, Capabilities, and Skills

• Excellent verbal and written communication skills in English.
• Ambition, curiosity, and a high degree of diligence and accountability.
• Goal-oriented with innovation and critical thinking skills.
• Project management and meeting coordination skills with senior stakeholders.
• Strong time management, organizational, and planning abilities.
• Ability to build relationships and mobilize internal networks to deliver results.
• Proficiency in Excel, Word, and PowerPoint.

Preferred Qualifications, Capabilities, and Skills

• Relevant experience in Cash Management or Treasury-related roles.

Key Responsibilities:

• Design, implement, and scale AI/ML infrastructure and platforms on AWS to support serving and fine-tuning of models.
• Collaborate with cross-functional teams to ensure seamless integration and deployment of AI/ML solutions.
• Develop and optimize machine learning models and algorithms to meet business objectives.
• Stay updated with the latest advancements in AI/ML and Gen AI technologies and incorporate them into the organization's strategy.
• Leverage Databricks for data processing, model training, and deployment.
• Utilize Gen AI tools and frameworks to enhance model performance and capabilities.
• Implement best practices for LLM Ops to ensure efficient model lifecycle management.
• Lead the productionalization of Gen AI use cases, ensuring robust and scalable solutions.
• Work closely with data scientists, engineers, and product teams to deliver AI-driven solutions.
• Mentor and guide junior team members, fostering a culture of innovation and excellence.
• Monitor the performance of AI/ML models and platforms, identifying areas for improvement.
• Implement optimization techniques to enhance model accuracy, efficiency, and scalability.

Required qualifications, capabilities and skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 8+ years of experience experience in AI/ML engineering, with a focus on AWS, Databricks, and Gen AI.
• Strong understanding of AI/ML algorithms, model serving, and fine-tuning techniques.
• Proven experience in LLM Ops and the productionalization of Gen AI use cases.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and leadership skills, with the ability to influence and drive change.

Preferred qualifications, capabilities and skills:

• Experience with other cloud platforms and AI/ML tools.
• Familiarity with data engineering and data science workflows.
• Knowledge of regulatory and compliance requirements related to AI/ML solutions.

as a Lead AI/ML Engineer (Tech Lead Manager) you will be responsible for ML feature development, ML model training, ML model deployment, Gen AI LLM approaches such as RAG and Agent. You will join the AI/ML Platform & Solutions Engineering team within our Consumer & Community Banking (CCB) division. In this role, you will assist our technical partners and data science teams by focusing on traditional AI/ML and Generative AI platform enablement to support line-of-business (LOB) machine learning use cases.

Job responsibilities

• Lead the design and development of our AI/ML platform, ensuring robustness, scalability, and high performance.
• Drive the adoption of best practices in software engineering, machine learning operations (MLOps), and data governance.
• Ensure compliance with data privacy and security regulations relevant to AI/ML solutions.
• Maintain consistent code check-ins every sprint to ensure continuous integration and development.
• Enable theGen AI platform and implement the Gen AI Use cases ,LLM finetuning and multi agent orchestration
• Communicate technical concepts and solutions effectively across all levels of the organization.

Required qualifications, capabilities, and skills

• Master's degree in a STEM field and 10+ years of experience in designing and managing large-scale AI & ML platforms and supporting systems.
• Extensive practical experience with AWS cloud services, including EKS, EMR, ECS, and DynamoDB.
• Experience in Databricks ML lifecycle development.
• Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance.
• Demonstrated prior experience in leading complex projects, including system design, testing, and ensuring operational stability.
• Expertise in computer science, computer engineering, mathematics, or a related technical field.

Preferred qualifications, capabilities and skills

• Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG) and agent-based models, is a plus.
• Real-time model serving experience with Seldon, Ray, or AWS SM is a plus.