Top Artificial Intelligence Jobs in India

The Solutions Architect will lead the design and implementation of AI/ML solutions tailored to client needs. The role involves collaborating with sales and engineering teams, conducting technical workshops, and translating complex concepts into actionable solutions that enhance business outcomes. The candidate will also mentor junior staff and manage multiple projects effectively.

As a Senior Solutions Engineer, you will serve as a technical advisor during the sales process, working closely with customers to implement the Databricks Lakehouse Platform. You will lead presentations and workshops, engage with clients to integrate various data technologies, and support architecture design efforts.

The Senior AI Engineer will consult with stakeholders to implement AI solutions aligned with business objectives, lead project lifecycles from data collection to deployment, and use Microsoft Azure AI and OpenAI technologies to enhance enterprise value.

The Engineering Leader will drive the technical strategy for the Applied AI Engineering team, overseeing the development of scalable solutions on the AgentOS platform. Responsibilities include collaborating with cross-functional teams, ensuring timely project delivery, and fostering innovation within the engineering team.

The Architect for Applied AI Engineering will design and oversee technical solutions on the AgentOS platform, collaborating with customers and stakeholders to create scalable applications, lead project design, ensure successful integrations, maintain architectural documentation, and guide engineering teams in implementation.

The Senior AI Engineer will develop and optimize generative AI applications, ensure performance tuning, collaborate across teams, mentor junior engineers, and lead deployment on cloud platforms while maintaining high-quality standards.

Design and implement cutting-edge generative AI systems using Azure cloud services and OpenAI technologies. Proficient in Python and AI frameworks. Extensive experience with embeddings and vector space models. Lead interdisciplinary teams and uphold ethical AI standards. Stay updated on emerging trends in AI technologies.

Develop and deploy generative AI models using Python on Azure or AWS Platform, engage in R&D to enhance AI model performance, design ML pipelines, collaborate with teams to integrate AI capabilities, analyze datasets, mentor junior team members.