Top Artificial Intelligence Jobs in Delhi

The role requires strong project management and data analysis skills with a focus on technology and AI in the banking sector.

Support ecosystem partnerships to enhance industrial adoption of emerging technologies, manage stakeholder relationships, and oversee commercialization efforts.

The Business Ecosystems Manager will support partnerships for industrial adoption of emerging technologies while driving digital transformation and managing stakeholder relationships.

The role involves developing policies and governance for digital infrastructure, analyzing data center operations, and engaging with industry stakeholders.

The Applied AI Engineer will design and build agentic systems that automate insights into results, collaborating with teams to ensure systems are effective, reliable, and integrated with current AI tools.

Seeking a Product Owner with experience in Java, Python, Springboot, AWS, and Artificial Intelligence to manage product development.

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Design and deliver AI/ML and Generative AI solutions for banking platforms by developing AI models, data pipelines, and integrating AI capabilities into enterprise systems.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

The candidate will lead a team, develop business strategies for government clients, drive revenue, and manage stakeholder engagement.

The Customer Segment Leader for the Government Sector will manage teams and drive business development while establishing senior connections to meet revenue goals and maintain excellent service delivery.

The Customer Segment Leader will manage a team, drive business development, establish senior-level connections, and deliver revenue targets, focusing on government clients in IT.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

Lead business analysis lifecycle for AI programs and digital transformations, collaborating with C-suite to align tech with revenue goals.

The Account Executive will drive national revenue growth in large enterprise accounts, manage multi-stakeholder engagements, and mentor a sales team for digital transformation initiatives.

The Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

The AI Engineer will develop and implement AI models, optimize performance, manage data handling, and collaborate with teams to align solutions with business goals.

Lead product development for an insurance-focused SaaS solution, collaborating across multiple teams and ensuring compliance and quality of deliverables.

The Senior AI Engineer role focuses on developing AI-driven products by integrating Generative AI and Machine Learning, designing scalable applications, and optimizing AI performance in production.

The Associate Vice President will lead AI and ML solutions for complex due diligence processes, managing client relationships, mentoring juniors, and ensuring effective project delivery in financial services and related sectors.

The Senior Consultant will lead AI and Machine Learning projects, develop solutions, manage large data, and enhance client interactions while ensuring effective communication and stakeholder management.

The role involves developing AI-driven analytics solutions, collaborating with cross-functional teams, and ensuring high code quality in an agile setup.

As an AI Solutions Engineer, you will embed AI into consulting workflows, building scalable and practical AI solutions while improving operational efficiency across projects and teams.