Top Artificial Intelligence Jobs in Gurgaon

As a Principal Architect, you'll enhance architecture platforms, provide technology guidance, develop multi-year roadmaps, and champion diversity in a cloud-based environment.

The role involves designing and developing software solutions, maintaining production code, and improving system architecture within an agile team at JPMorgan Chase.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

The role involves designing and developing scalable applications using .NET or Python, integrating AI systems, and optimizing performance for production AI systems.

Lead the Infrastructure AI, Automation & Tools team, focusing on AI-driven transformation and resilient global infrastructure to enhance operational efficiencies.

The Associate Director for Foreseer AI leads a team in designing and implementing AI-driven digital solutions, focusing on architectural development, agile methodologies, and team collaboration.

The role involves designing, deploying AI/ML solutions in the actuarial domain, collaborating with experts, and integrating Generative AI tools to improve decision-making.

As a Senior Developer, you will evaluate and implement AI frameworks, optimize AI models, integrate research into production, and collaborate with stakeholders. You will also document and oversee testing of AI agents to ensure compliance and performance standards.

As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.

Develop and maintain large-scale AI Infrastructure systems, drive reliability and scalability, implement SRE practices, and mentor peers in a collaborative environment.

Design and develop AI-powered features using Spring.AI, implement AI workflows, build scalable RESTful APIs, and manage vector databases for enterprise applications.

The Senior AI Developer will build integrations across Sauce Labs' platform, focusing on AI features, programming languages, and agile collaboration.

As an AI Developer, you'll integrate advanced AI features, maintain applications in NodeJS and Python, and support customer-facing troubleshooting.

Lead the design and implementation of data infrastructure for analytics and AI; manage ETL solutions and Master Data Management; mentor data engineering team.

The Technical Architect for AI/ML will define architecture for AI systems, mentor teams, and align strategies with business objectives, utilizing cloud-native tools and frameworks.

As a Senior Python Engineer, you will design and build backend systems for a Voice AI platform, optimize performance and collaborate with cross-functional teams to integrate AI-driven components.

The Senior Staff Engineer will develop AI applications, design technical solutions, integrate systems, and ensure best practices in a dynamic Agile environment.

The role involves developing AI agents and automation workflows, integrating finance systems, leading technical design reviews, ensuring compliance, mentoring junior staff, and driving business impact through automation.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

Design and implement scalable Generative AI solutions. Collaborate with cross-functional teams to convert business needs into AI solutions. Oversee architecture and evaluate the performance of AI systems on cloud platforms.

Develop and maintain web interfaces, validate AI-generated code, provide UI/UX feedback, and follow project guidelines in a remote setting.

The Senior AI QA Engineer will oversee test planning, automation framework development, API testing, and ensure high-quality AI solutions. Responsibilities include end-to-end testing across AI/ML systems, collaboration with data and DevOps teams, and mentoring junior QA members.

The role involves analyzing and designing solutions for financial systems, developing high-availability applications, ensuring quality through testing, mentoring team members, and collaborating on technical strategies.

The ServiceNow AI Engineer will develop AI solutions on the ServiceNow platform, manage integrations and automation, and improve IT operations through collaboration and teamwork.

You will design and develop machine learning infrastructure and models, work with cross-functional teams, and build AI-driven applications, focusing on data scalability and performance.