Top Artificial Intelligence Jobs in Bangalore

The Enterprise Architect is responsible for designing AI-powered enterprise solutions and leading teams in implementing and deploying AI/ML applications across various environments.

Looking for a Senior Software Engineer to join the Content Engineering team, leveraging AI and LLMs for large-scale content processing and document understanding.

As a Senior Quality Engineer, you'll ensure the reliability and performance of AI-driven cybersecurity products, designing test strategies, collaborating with teams, and leveraging GenAI tools for quality assurance.

Design and develop AI-driven threat intelligence platforms, focusing on fraud and risk detection while building agentic frameworks and MLOps pipelines.

The Senior Quality Engineer will develop testing strategies and frameworks to ensure the reliability and performance of AI systems. Responsibilities include manual and automated testing, creating validation frameworks, and collaborating with developers on quality gates.

Seeking an experienced Software Engineer with expertise in AI and emerging technologies to develop and support technical solutions, collaborating with cross-functional teams.

The AI Infrastructure Tools Engineer will design, build, and maintain tools for AI infrastructure, ensuring high service availability and collaborating with various teams to enhance efficiency and security.

Design and develop AI-driven proactive defense systems focused on detecting and mitigating fraud and anomalous behavior using advanced AI frameworks and MLOps pipelines.

Seeking a Lead Developer to design AI-driven defense systems focusing on fraud detection and risk mitigation using advanced frameworks and machine learning techniques.

Lead the design and development of AI frameworks for proactive threat defense in cybersecurity. Responsibilities include architecting multi-agent systems, developing orchestration layers, and collaborating on AI systems integration.

The Senior Developer will create AI frameworks for proactive threat detection and response, focusing on multi-agent orchestration systems and LLM integration.

The role involves developing and troubleshooting contact center technology solutions, managing multiple priorities, ensuring security, and collaborating with technology teams.

The AI Ops Engineer will develop and manage AI bots using Azure services, focusing on speech services and integrating with Microsoft Graph for Teams. Responsibilities include setting up data pipelines, CI/CD processes, and ensuring security compliance in bot development.

Design and implement a modern data and AI platform leveraging GCP, focusing on data architecture, AI integration, and collaborative leadership to enhance supply chain operations.

Develop and implement software systems for generative AI, optimize code, ensure quality, and establish best practices in documentation.

The Engineering Manager will lead a team to design data pipelines, implement automation solutions, and improve internal workflows for various business functions at Stripe.

The role involves collaborating with RTL designers to ensure quality silicon design, developing test plans, creating verification methodologies, and debugging test failures in AI chip design.

The role involves leading the design and implementation of AI capabilities within Salesforce, including model integration, automation, and collaboration with various teams to enhance customer engagement and sales processes.

Lead the technical direction of AI systems at SAFE Security, architect scalable AI components, productionize AI agents, and mentor engineers.

Develop and maintain scalable web applications, collaborating with teams to deliver cybersecurity solutions using AI and modern technologies.

As a Staff Software Engineer - AI Assistant, you'll drive the design and implementation of AI-powered backend features, collaborate with teams, and develop scalable services.

Design and develop full-stack applications integrating AWS Bedrock AI solutions. Build scalable AI/ML systems, ensuring smooth integration of LLMs into applications, while collaborating with stakeholders to meet business needs.

As a Senior IT Software Engineer, you will design and build autonomous AI solutions, focusing on backend development, database management, and leveraging GCP services.

As an Agentic AI Engineer, you design, build, and deploy agent-driven AI systems, integrating them into business processes and ensuring their scalability and reliability.

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