Top Artificial Intelligence Jobs in Pune

The role involves facilitating client workshops, mapping workflows, defining business metrics, and delivering AI-driven solutions. It requires strong communication skills and hands-on AI experience.

The Senior Director Analyst develops insights on data management platforms, leads the research agenda, engages clients, and mentors junior analysts, utilizing extensive expertise in data management and AI solutions.

The Senior Product Manager - AI Platform will lead the development of AI infrastructure and enhance platform capabilities, ensuring efficient AI feature delivery and governance.

The Senior Product Manager - AI Growth will drive AI product adoption, engagement, and monetization, managing UI/UX, experimentation, and metrics for growth initiatives.

Optimize revenue operations processes from pipeline generation to renewals, utilizing AI tools and collaborating with cross-functional teams to enhance efficiency.

As a Senior Full Stack Engineer, you'll develop and maintain backend services, implement technical solutions, and leverage AI tools to enhance development productivity while ensuring application reliability and performance.

The AI Manager will lead a global team in AI project delivery, manage AI roadmaps, oversee LLMOps pipelines, and engage with stakeholders while ensuring compliance and performance metrics are met.

The AI QA Specialist will design and execute test strategies for AI systems, validate model outputs, implement monitoring dashboards, and ensure compliance with safety standards.

The MDM Specialist will design and implement master data management solutions, integrate AI workflows, and ensure data governance and quality across customer and vendor domains.

Design and implement production-grade AI models and algorithms, lead AI initiatives across organizations, enhance Agentic AI capabilities, and collaborate with teams to develop high-impact AI features.

Lead AI strategy and implementation for content processing at scale: research and prototype LLM and CV solutions, design robust, high-throughput AI services and pipelines, solve production ML challenges (latency, variance, observability), and mentor engineering teams to deliver mission-critical AI features.

Lead the architectural development of large language model 'Super Agents,' optimizing workflows, integrations, and memory systems for autonomous reasoning and tool usage.

As a GenAI Intern, assist in developing and testing generative AI models, conduct research, prepare datasets, and collaborate on AI-driven features.

The role involves developing and managing integration processes using Boomi and Workato for complex business needs in finance and operations.

As an Applied AI Engineer, you will design, develop, and deploy AI and automation solutions, collaborating with various stakeholders. Responsibilities include building workflows, integrating LLMs, improving solutions, and producing documentation.

Lead a Bengaluru-based engineering team for AI-powered banking products, ensuring execution, quality, and production reliability while collaborating with US stakeholders and maintaining hands-on technical involvement.

The Architect leads the delivery of data engineering for a multi-year transformation program, managing architecture, modeling, and technical coordination while ensuring quality and stakeholder engagement.

Lead AI transformation engagements, overseeing client relationships and project delivery while mentoring consultants. Requires deep AI fluency and commercial instincts.

Lead enterprise clients to improve AI search visibility through analysis, custom GEO playbooks, C-suite presentations, prompt testing, monthly reporting, and cross-functional product collaboration to drive platform adoption and measurable visibility gains.

Responsible for leading end-to-end AI research projects, developing domain-specific models, mentorship, and optimizing research-to-production processes while collaborating across disciplines.

The Applied AI Researcher will design experiments, train models, and build pipelines for a GenAI platform while contributing to research and deploying systems in production.

The Principal Applied AI Researcher will define and lead domain-specific model strategies, manage model lifecycle, mentor researchers, and influence platform decisions in AI research.

The Backend Developer designs and implements secure APIs, focusing on entitlement enforcement and audit logging, utilizing AI assistance in development.

The role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

Lead the planning and execution of test strategies, develop automated test suites for UI and API, and mentor junior team members.