Top Artificial Intelligence Jobs in Gurgaon

Lead the SRE and DevOps strategy for AI platforms, ensuring high availability and security while managing AI workloads and collaborating across teams.

As a Software Engineer in AI Quality, you will ensure the quality of AI features by developing test plans, executing tests, and documenting findings while collaborating with teams on quality strategies.

The role involves developing and deploying ServiceNow CSM features using AI technologies, collaborating across teams to enhance customer workflows, and managing integrations and user experience in a high-energy environment.

As a Senior Software Quality Engineer, design and implement testing strategies for backend infrastructure and AI features ensuring reliability and quality across applications.

Lead the design and deployment of AI/ML solutions for customers, collaborating with cross-functional teams and driving product direction. Mentor junior engineers and ensure compliance with regulations.

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.

Lead a team focused on developing enterprise-grade AI platforms. Oversee technical execution, drive innovation, and ensure systems meet scalability and compliance requirements.

As a Senior Principal Software Engineer, you'll lead backend architecture, mentor teams, and drive Agentic AI implementation while ensuring scalability and reliability.

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

The role involves automating IT infrastructure and application deployment, using DevOps tools and cloud technologies while collaborating in an Agile team environment.

The role involves API development, maintaining data-driven components, mentoring team members, resolving operational issues, and utilizing cloud platforms and data science techniques.

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

The Quality Manager will lead all quality aspects across the AI platform, ensuring compliance with standards, developing quality strategies, and managing the testing process in an Agile environment.

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.

The Associate AI Applications Engineer develops and deploys AI capabilities in Microsoft Dynamics 365 and Power Platform, ensuring reliable integrations and operations.

Design, develop, and deploy Generative AI solutions using AWS services. Create prototypes, integrate AI capabilities, and optimize models for cloud environments.

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.

Lead and scale GitLab's Enterprise Technology & AI operations in India, focusing on delivery excellence, QA, and building high-performing teams in a remote environment.

As a Senior Software Engineer, you'll develop backend systems using Python and Java, ensure their reliability, and maintain performance and efficiency while collaborating with the team on microservices and coding best practices.

As a Software Engineer 2, you'll develop backend services using Python or Java, contribute to feature development, and ensure code quality with comprehensive testing.

As a Principal Software Engineer, you will lead the design of complex backend systems, focusing on reliability, performance, and the implementation of Agentic AI capabilities while guiding team members and ensuring adherence to engineering excellence.

As a Principal Software Engineer, you'll lead the design and implementation of backend systems, advancing Agentic AI capabilities and optimizing microservices across cloud environments while providing technical leadership to the team.

The AI Platform Engineer will design and build backend services for enterprise systems, manage cloud infrastructure, implement CI/CD pipelines, and ensure AI governance and security in the organization.

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

Manage a high-performing engineering team, drive fast-paced delivery, ensure platform capabilities for AI processing, and collaborate on technical strategy.