Top Artificial Intelligence Jobs in Bangalore

As a Senior Agentic AI Architect, you'll design and implement autonomous AI architectures, mentor teams, and influence enterprise integration of AI solutions.

Lead and architect the MIDAS data platform, overseeing engineering efforts for contract-driven data pipelines, data governance, and AI/ML infrastructure.

This role involves full lifecycle software development including architecture, design, and support of AI-powered healthcare solutions, working closely with Data Scientists and ML Ops on scalable applications.

The Data and AI Architect designs advanced data and AI solutions for ABB Motion, integrating enterprise systems and ensuring data quality and compliance across platforms.

The role involves leading a team in backend development, designing scalable solutions, API maintenance, and integrating AI/ML features.

Influence the architecture, design, and implementation of AI infrastructure and ML compiler. Develop scalable, high-performing AI/ML systems while collaborating with hardware/software teams and contributing to open frameworks.

The Engineering Manager will oversee engineering teams working on AI & Machine Learning platform, mentor engineers, ensure best practices, and enhance development processes.

Manage a team of engineers for Cloudera's AI Platform, focusing on ML solutions, engineering best practices, and team development in a hybrid cloud environment.

As a Marketing Data Engineer at Electrolux, you will design and implement data architectures, govern data pipelines, integrate MarTech data, and ensure compliance with data policies, focusing on enhancing marketing capabilities and consumer experience.

Lead technical teams to design, develop, and scale AI platform services. Oversee architecture, manage backlogs, mentor team members, and ensure compliance with AI ethics.

The AI/ML Software Engineer will develop AI-driven tools, build scalable applications, mentor junior members, and ensure compliance in eBay's marketplace.

As a Principal Engineer, lead the architecture and deployment of AI/ML systems, drive MLOps practices, and mentor engineers across teams.

As a Generative AI Engineer, you'll design and operate LLM systems, build backend services, RAG pipelines, and collaborate on requirements, governance, and observability while mentoring peers.

Lead a team to develop AI-driven proactive defense systems and frameworks for fraud detection and anomaly detection, leveraging machine learning and automation.

As a Senior Data Engineer, you will develop data pipelines for cybersecurity products, collaborating with Security Researchers and optimizing ETL/ELT jobs using big data technologies and cloud-native infrastructure.

Seeking an experienced Backend engineer to design and optimize scalable systems for AI projects, handling large graph datasets in real-time.

The Senior Generative AI Software Architect leads the design of scalable AI systems, collaborates with stakeholders, ensures integration, and mentors teams to leverage generative AI technologies.

Develop and improve applications based on client needs, design and write code, perform testing, and communicate with stakeholders. Collaborate on software solutions to optimize performance, while ensuring functionality and client satisfaction.

The AI Data Engineer will design and maintain data pipelines, develop software applications, and implement front-end solutions for data visualization, ensuring data quality and integrity while collaborating on analytics and reporting requirements.

The Senior Engineer will develop and optimize prompts for LLMs, collaborating with domain experts, while integrating solutions and building a prompt engineering framework.

The role involves developing AI-driven Copilot agents, administering Microsoft 365 services, enforcing governance, managing compliance, and enhancing employee productivity using modern workplace technologies.

Develop and scale ML and LLM systems, build automated AI testing frameworks, and collaborate with teams on AI capabilities.

The Senior AI Engineer will develop scalable AI/ML systems for data quality improvement and entity resolution, collaborating with cross-functional teams.

As a Computer Scientist 2 at Adobe, you'll develop Python-based backend services for AI applications, optimize AI/ML models, build data pipelines, and ensure system reliability in a cloud-native environment.

As an Engineering Intern, contribute to AI-driven projects using Java, Spring Boot, and various technologies while learning Agile processes and cloud-native development.