Top Artificial Intelligence Jobs in Bangalore

The role involves leading Network Design and Optimization projects, consulting with customers, developing solutions, and managing network performance and support services primarily focused on radio network optimization and new technologies.

Lead the development of AI-driven solutions in financial advisory technology, collaborating with cross-functional teams and enhancing client engagement through software engineering expertise.

Lead complex technical initiatives, design and develop enterprise applications, and guide a team while ensuring high code quality and collaboration with stakeholders.

Wells Fargo is seeking a Software Engineer to participate in technology projects, enhance service quality, design and document solutions, analyze challenges, and work with stakeholders. Candidates require 2+ years of experience in software engineering.

The Lead Software Engineer will design, optimize, and manage applications using various technologies whilst leading teams, ensuring code quality, and collaborating on complex solutions.

The Senior Staff DevSecOps Engineer will lead Zscaler's AI-integrated DevSecOps capabilities, focusing on building secure developer agents, managing CI/CD systems, and ensuring operational efficiency.

The role involves designing, coding, and testing AI agents and backend applications using Python and Google ADK/Langchain, with a focus on service quality and Agile practices.

As a Software Engineer, you will design and implement CI/CD pipelines, develop platform services, and monitor system performances for public safety solutions.

The Principal Engineer will lead enterprise messaging architecture and strategies, focusing on Microsoft Exchange and secure email platforms, while ensuring high availability and compliance across the organization.

The role involves designing, coding, testing, and debugging software for Gen AI projects. Responsibilities include improving service quality, addressing technical challenges, and collaborating with teams on AI solutions while maintaining compliance and security standards.

Design, develop, test, and maintain backend and frontend components for SaaS applications, translating requirements into technical designs and ensuring system performance.

The Principal Software Engineer will lead technical strategy and architecture design for a SaaS platform, mentor engineers, and drive best practices.

The Principal Software Engineer will lead the architecture and technical strategy for large-scale SaaS platforms, mentor teams, and drive best practices while collaborating with cross-functional stakeholders.

The Staff Software Engineer will design and build AI platform infrastructure, mentor engineers, and drive the adoption of AI development practices across engineering teams.

Lead technical strategy and deliver large-scale engineering and AI solutions across the enterprise. Advise leadership, design cloud and agentic AI systems, implement IaC and automation, ensure security/compliance, mentor engineers, and drive enterprise-scale AI deployments in the banking domain.

As a DevSecOps Engineer, you will manage and secure the Central Observability System, implement AIOps practices, and enhance CI/CD pipelines.

Design, build, and operate platforms and backend systems at Rubrik. Own Kubernetes, develop distributed services, and collaborate with engineering teams.

Designs, develops, and maintains software applications while collaborating with cross-functional teams and improving software performance through testing and automation.

Lead post-silicon validation for AI SoCs, develop strategies for reliability, debug complex issues, and foster team collaboration and automation.

The Engineering Manager will lead a team in developing high-performance Linux runtime security solutions for cloud and AI workloads, ensuring product quality and overseeing strategic initiatives.

Develop, deploy, and support enterprise-level software modules while ensuring design quality and technical architecture. Mentor teams and improve product features.

The Specialist Generative AI will develop and integrate generative AI solutions into enterprise applications, ensuring compliance with IT security standards and optimizing AI performance.

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

The Senior Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

The Senior Software Engineer will lead the design and support of AI Assistants and automation solutions, develop scalable micro-services, and manage product requirements, focusing on reliability and efficiency.