Top Artificial Intelligence Jobs in Bangalore

Design and document scalable marketing and data solution architectures across cloud platforms. Lead regional architecture standards, incorporate global security requirements, oversee other architects, track design decisions, run stakeholder workshops, and ensure continuous updates and governance alignment.

Lead infrastructure quality engineering and automation for hybrid enterprise platforms. Architect IaC validation, CI/CD, microservices (Java/Spring Boot/MS SQL), cloud transformation (AWS/Azure), observability, and AI-driven automation. Mentor 20+ engineers, define KPIs, drive reliability, testing strategy, and cross-team collaboration for scalable, production-ready infrastructure.

The Software DevOps Engineer will develop, enhance, and implement software systems for generative AI, focusing on backend development, quality assurance, and scalability.

Lead full lifecycle development of L2/L3 embedded RAN protocol stacks: design, coding, unit testing, debugging, and integration. Implement and enhance MAC/RLC features, analyze logs, debug in Linux, and support product releases. Apply AI/ML concepts for RAN optimization and develop/maintain solutions used by global customers.

Architect and develop Five9's real-time AI voice orchestration platform handling RTP/SIP streams, ASR/TTS integration, AI inference, and low-latency voice pipelines. Lead technical direction, mentor engineers, collaborate cross-functionally, and own full lifecycle from design through deployment and operations ensuring scalability, reliability, and observability.

Design, build, and operate the Kubernetes-based core infrastructure for Nexus Dashboard. Lead cluster lifecycle management, reliability and observability, security and certificate management, and scalability efforts. Develop backup/restore, automated anomaly detection, and test plans. Collaborate with cross-functional teams to optimize performance and deploy microservices at scale using AI-assisted development and modern CI/CD practices.

The UX/UI Engineer will design and develop AI-enhanced interfaces, conduct user research, and collaborate with teams to create scalable, accessible experiences for AI applications.

The Staff Software Engineer will lead architecture and development of scalable enterprise platforms, managing full engineering lifecycle and mentoring engineers, while driving modernization initiatives in cloud infrastructure and CI/CD systems.

This role involves leading the development of AI-driven analytics solutions, mentoring teams, and collaborating with cross-functional stakeholders to enhance cybersecurity through innovative technology.

Build and maintain the Kubernetes-based Nexus Dashboard platform: architect core infrastructure, manage cluster lifecycle and upgrades, implement reliability/observability, handle security and certificate lifecycle, optimize scalability and performance, and collaborate across teams to support high-scale data center microservices and telemetry stacks.

Lead architecture and execution of end-to-end solution testing for Cisco IQ: design multi-tier test topologies, build hybrid UI/API automation frameworks, apply AI-driven test generation, reproduce network topologies for RCA, oversee lab infrastructure, and drive cross-functional release sign-offs to ensure platform reliability.

Lead and grow a software engineering team to design, build, and operate scalable, cloud-native SaaS applications. Drive CI/CD automation, enforce functional and performance testing, ensure production reliability, and collaborate with product, architecture, and operations to deliver on commitments.

Design and develop analog integrated circuits, utilizing AI/ML tools. Collaborate with teams, conduct simulations, and drive innovation in circuit design.

The Software Engineer will develop backend services, work with cloud infrastructure, build automation tools, and enhance system reliability while collaborating with various engineering teams.

The Senior QA Software Engineer - AI will design and implement test strategies for AI-driven solutions, develop automated testing frameworks, and mentor junior engineers while ensuring quality across software applications in legal, tax, and compliance domains.

Lead ServiceNow-focused enterprise architecture and governance, design scalable ServiceNow and AI-enabled automation solutions, drive architecture reviews and standards, identify process improvements and automation opportunities, collaborate with global teams, and advise on AI augmentation for architecture governance and intake workflows.

Design, build, and maintain full-stack web applications using Python and React. Develop and document RESTful APIs, optimize performance and security, integrate AI where applicable, participate in code reviews and agile processes, and collaborate with product and design teams to deliver scalable, user-centric solutions.

The Principal Engineer will enhance performance, reliability, and efficiency in web applications and backend systems, lead CI/CD improvements, and adopt AI workflows, while mentoring other engineers.

Design, deploy, and operate Databricks on GCP/Azure; build Databricks applications and integrations; design cloud networking and hybrid connectivity; develop AI-powered automation and developer assistants; manage IaC (Terraform), CI/CD, Kubernetes, and platform reliability while enforcing security, governance, and cost controls and mentoring junior engineers.

Lead AI-driven transformation of software engineering practices: build and coach teams, define AI-first SDLC standards and governance, integrate generative AI/agents and copilots, drive delivery excellence, improve productivity/quality via AI automation, and partner across platform, security, and product to scale AI-enabled developer experiences.

Lead design, develop, test and support SAP ABAP solutions, deliver RICEFW objects, integrate SAP with third-party systems, optimize performance, produce technical documentation, mentor junior developers, and help adopt AI/automation in the SAP ecosystem.

Lead AI/ML teams in developing and deploying scalable AI systems for educational solutions. Manage projects, mentor engineers, and collaborate across teams.

As a Senior Software Engineer - AI, you will develop AI-driven software solutions, collaborate with teams, implement advanced AI systems, and mentor junior engineers.

The role involves developing and managing integration processes using Boomi and Workato for complex business needs in finance and operations.

We are seeking a Senior Developer for automation and analytics projects, focusing on integration processes using Dell Boomi and Workato. Responsibilities include solution development, documentation, and client relationship management in both cloud and on-premise environments.