Top Artificial Intelligence Jobs in Pune

Lead a team of engineers in delivering AI applications, mentor staff, drive technical strategy, and collaborate cross-functionally for high-impact AI use cases.

Lead AI-integrated transformation programs, identifying opportunities for AI tools to enhance project delivery and collaborating with stakeholders for successful integration and usage of AI solutions.

The Risk Reporting / Risk Governance Manager oversees risk management processes, develops risk reports, cleans data, and engages stakeholders to enhance decision-making quality.

Develop and implement digital twin architectures for patient modeling, research AI innovations, mentor junior team members, and contribute to client solutions.

As a Staff AI Engineer, you'll build and productionize advanced AI systems, focusing on large language models and intelligent agents to enhance productivity for millions of users at Apollo.io.

Develop automation for Kubernetes clusters, manage network protocols, and collaborate with R&D teams in a fast-paced environment.

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

Lead end-to-end delivery of ML and LLM-based security solutions on AWS: design ML/RAG pipelines, deploy and monitor models (SageMaker/Bedrock), build agentic workflows, mentor engineers, and ensure model explainability and evaluation.

Contribute to the development and monitoring of ML and LLM-based security models, including data acquisition, model evaluation, and deployment on AWS infrastructure.

As a Principal AI Engineer, you will define system architecture for AI platforms, ensuring scalability and security while mentoring teams and making architectural decisions.

The Account Executive will drive revenue growth in enterprise accounts within manufacturing by leading complex engagements, building relationships with CEOs, and managing a sales team.

The Technical Product Manager will define the AI product roadmap, collaborate with teams, and leverage data to enhance enterprise productivity.

The Senior ML/AI Research Engineer leads a team to integrate ML and AI algorithms into products, mentors team members, develops data pipelines, evaluates models, and drives innovative research projects to enhance product capabilities.

The role involves troubleshooting complex customer issues in EPC and 5G Core environments, participating in product deployments, and enhancing operational efficiency using AI. Responsibilities include deep technical analysis, collaboration with engineering teams, and leading improvement initiatives.

As a Senior AI Engineer, you'll build and productionize AI systems using LLMs, develop intelligent agents, and optimize user interactions through automation.

Manage AI projects in Banking and Financial Services, focusing on agentic AI initiatives, data management, and digital transformation while employing Agile methodologies.

Lead enterprise sales strategy for manufacturing and conglomerates, manage large accounts, and mentor a sales team while aligning solutions with client operational priorities.

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

As an Applied AI Engineer, you will design intelligent systems, develop chat-based UIs, and work on AI workflows using LLMs and orchestration tools.

As a Senior Software Quality Engineer, design and implement testing strategies for backend infrastructure and AI features ensuring reliability and quality across 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 Senior AI Engineer will design, build, and operate systems, collaborate with users, and apply AI to improve outcomes while managing projects end-to-end.

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 Manager of AI Services Consulting leads a team of consultants to implement AI solutions, optimize customer experience, and improve operational delivery in a hybrid work environment.