Bengaluru Karnataka Director artificial intelligence Jobs – 132 Open Jobs Today

Software Engineer III - Java, Springboot, Cloud
JPMorganChase —Bengaluru, Karnataka
- Online application
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Human Resources Intern
V7 AI Solutions —Bengaluru, Karnataka
- Up to ₹5,000 a month
- Computer Science
- Microsoft Office
- Bachelor's degree
- Food provided
Quick apply
22h
Business Development Executive
DR AIREDDY SCIENTIFIC TECHNOLOGIES PVT LTD —Jigani, Bengaluru, Karnataka
- ₹10,000 - ₹15,000 a month
- Full-time
- Sales
- Microsoft Office
- Business development
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Associate Director - Finance Advisory 3
Genpact India Pvt. Ltd. —Bengaluru, Karnataka
- Full-time
- Remote
- English
- Finance
- Master's degree
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Software Engineer III - Java, Springboot, Cloud

JPMorganChase -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
6 days ago

Qualifications

Spring Boot
CI/CD
Oracle
HDFS
JUnit
Cassandra
XML
WebSphere
DB2
Big data
Tomcat
Spark
System design
UNIX
Microsoft SQL Server
NoSQL
Solaris
J2EE
Java
Application development
Microservices
SQL
SVN
Machine learning
Scala
Continuous integration
REST
JSP
Software development
APIs
Agile
JDBC
Service-oriented architecture
AI
JMS
Spring framework
SDLC
Hadoop

Full job description

JOB DESCRIPTION

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As an Senior Software Engineer at JPMorgan Chase within the Consumer and community banking technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

Creates engineering standards and best practices for a broad range applications to be applied across the organization
Collaborates with architects, engineering directors, and senior application engineers to identify and incorporate business and technology requirements into standard approaches
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Drives adoption of best practices, ensuring high standards of quality, security, and efficiency are maintained across all projects
Develops tools and practices for ensuring adherence to coding standards and architectural approaches, utilizing industry-standard and the latest AI/ML approaches
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Creates and manages POCs to evaluate the feasibility and impact of new technologies and methodologies, ensuring alignment with business goals and technical requirements.
Leads AI innovation initiatives by identifying opportunities to integrate artificial intelligence into existing and new products, enhancing the firm's technological capabilities.
Explores and develop strategies for the implementation of cutting-edge technologies across the organization, ensuring they align with the firm's long-term objectives.
Advises cross-functional teams on technological matters within domain of expertise. Create durable, reusable software frameworks that are leveraged across teams and functions.
Influence leaders and senior stakeholders across business, product, and technology teams.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience.
Solid experience on application design, coding on Java 8/J2EE distributed application development, REST
Hands-on practical experience delivering system design, application development, testing, and operational stability
Solid understanding of Domain model micro services, Spring Boot, Netflix frameworks, API gateway
Proficiency in automation and continuous delivery methods
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.)
Experience in ensuring successful design, development, testing, and implementation of application components for online application using technologies including Core Java, J2EE technologies, web services, tomcat, servlets, JSP, Messaging
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Experience in XML and Service Oriented Architecture; and Experience in designing and implementing Restful webservices, unix jobs, writing stored procedures and testing the existing application using Junit.
Experience with Servlets, JNDI, JMS, JDBC, SQL; Databases such as Oracle, DB2, SQL Server; Operating Systems such as Unix Solaris; Products such as IBM WebSphere, Subversion, Axis, Spring Application Framework

Preferred qualifications, capabilities, and skills

Programming with NoSQL/NPL a plus (Cassandra)
Familiar with big data technologies - Spark, Scala, HDFS
Familiar with modern infrastructure technology and architecture (cloud, virtualization, object stores, etc.)
Familiar with Artificial Intelligence

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