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.

The VP of Quality Engineering leads automation and quality strategy for Aladdin platforms, focusing on financial workflows, AI integration, and stakeholder management while ensuring compliance and scalability.

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

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

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

Join the AI-native engineering team as a Junior Software Engineer, conducting research and experimentation, prototyping AI tools, and designing business applications.

Lead and scale an engineering team building Coinbase's Help Center and AI-assisted automated chat resolution. Drive technical strategy, architecture, roadmaps, SLAs, experiments, and cross-functional collaboration to improve resolution rates, safety, compliance, and operational reliability while coaching and hiring engineers.

Design, build, and maintain large-scale AI infrastructure and SRE tooling across cloud and on-prem GPU/HPC environments. Improve observability, reliability, automation, incident response, and scalability for model training workflows while collaborating with engineering teams.

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.

The Architect will design and implement Microsoft SharePoint and Power Platform solutions, manage migrations, develop workflows, and create dashboards, while leading client workshops and presentations.

The role involves building AI integrations within the platform, maintaining applications, collaborating across teams, and participating in troubleshooting.

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.

Design and build AI data architecture and APIs with Python/Django; manage SQL, MongoDB and Pinecone vector databases; integrate and optimize AI models, context/prompt builders; collaborate with leadership and engineers; research AI/data engineering advancements.

Lead the design, development, and deployment of AI-powered applications, focusing on system architecture, generative AI, production engineering, and model optimization.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

Design and develop automated test frameworks using C# for web and API applications, collaborating with teams to establish test strategies.

The Gen AI Developer Specialist will work with deep learning frameworks and develop applications using Gen AI, FastAPI, and ReactJS, among other technologies.

The Associate Director will lead the Foreseer team, focusing on AI/ML solutions, architecture, and design, while managing global teams and implementing high-quality, scalable solutions.

The GTM Engineer role focuses on designing, building, and automating AI-enabled systems to enhance revenue processes, using full-stack development and Salesforce integrations.

Design, build, and operate scalable, secure cloud infrastructure (primarily GCP) with AI-enabled observability and automation. Optimize CI/CD pipelines, implement IaC (Terraform), support AI/ML platforms, troubleshoot distributed systems, and provide 24x7 on-call incident response. Mentor junior engineers and enforce SDLC, security, and compliance standards.

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

The Lead Engineer will drive CRM development with AI tools, manage integrations, and enhance both front and backend systems for scalability and performance.

Design and build backend services that integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to deploy AI-powered tools, implement API integrations, and manage ETL pipelines for unstructured data.

The role involves developing AI solutions with Azure and .NET, implementing AI frameworks, and optimizing semantic searches, requiring significant experience and expertise.

The SDET will ensure quality in releases through testing system workflows, enhancing automation frameworks, and developing test infrastructure, collaborating closely with engineering teams.