Top Artificial Intelligence Jobs in Gurgaon

As a Director of Quality & Transformation Engineering, you will lead a team of quality engineers, align transformation strategies, promote innovation, and ensure high-quality engineering practices in a financial technology environment.

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 architecture and engineering for portfolio management platforms: drive technical design reviews, AI-enabled PDLC, production SRE practices, mentor engineers, align global teams, and translate domain needs into executable Agile backlogs focused on scalability, resiliency, and quality.

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

The Engineering Manager will lead the AI Governance team, focusing on compliance and security in GitLab's software development lifecycle, overseeing roadmap execution and team growth.

As a GTM Engineer, you will design and deploy automation and AI workflows, build internal tools, and enhance revenue infrastructure to improve efficiency and decision-making.

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 Cloud Platform & AI Engineer will enhance cloud automation, security, and AI capabilities while designing frameworks for public cloud infrastructure and ensuring secure cloud adoption.

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.

As a Senior Software Engineer, you'll build and scale Jetpac's core systems, focusing on system reliability and performance, utilizing AI-assisted workflows, and improving developer productivity.

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

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.

The role involves building AI-accelerated testing systems to enhance software quality through automated test generation, execution, and validation across various platforms.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.

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

The Engineering Manager leads platform administration and operations, oversees integration of AI tools, ensures governance, and provides user support while managing technical deployments and documentation.

Design and develop automation workflows using Power Automate and Power Apps, integrate APIs, build chatbots, and ensure SDLC best practices.

The Zoom AI DevOps Engineer will design AWS infrastructure for AI services, implement Infrastructure as Code with Terraform, and manage production deployments while ensuring system reliability and automation best practices.

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.

Seeking a Senior API Developer to design, build, and support scalable APIs. Responsibilities include collaborating with teams, drafting technical requirements, and creating documentation.

The Principal Full Stack Engineer will architect and build AI-powered systems, design workflows, mentor engineers, and enhance development productivity at Sleek.

The Solutions Architect will guide startup customers in developing and scaling Generative AI applications, collaborating closely with various teams and providing technical advice.

Develop and maintain solutions using Microsoft Power Platform, integrating with Dynamics 365, and providing technical support while collaborating with teams to automate business processes.

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