Top Artificial Intelligence Jobs in Hyderabad

The AI Tech Lead will design, develop, and implement AI solutions, focusing on LLM and RAG systems, while collaborating with engineers and product managers to innovate and optimize AI workflows.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

The role involves developing AI solutions, integrating LLMs, and enhancing investment workflows, requiring strong software engineering and collaboration skills.

The engineer will build automation frameworks for Databricks, integrate AI capabilities, and develop deployment workflows in AWS.

The Senior AI/ML Engineer will lead the development of enterprise AI solutions, owning architecture and delivery, mentoring engineers, and ensuring compliance with responsible AI practices.

Seeking a senior AI/ML engineer with 6+ years experience to design and scale AI/ML platforms, innovate, mentor, and solve complex data challenges.

The role involves delivering AI solutions, developing models, supporting Agile practices, collaborating with teams, and focusing on execution and delivery.

The Generative AI Tester will validate AI-driven features, ensure model reliability, and drive end-to-end testing workflows in enterprise applications.

The Data Engineer will design and maintain AI data pipelines, manage cloud data infrastructure, and ensure data quality for analytics and machine learning operations.

Develop scalable chatbots and virtual assistants using conversational AI technologies, integrate NLP/NLU, and collaborate across teams. Optimize performance through testing and user interaction analysis, while following Microsoft Foundry methodologies.

The GTM Engineer will design and build automation systems for lead routing, pipeline management, and data syncing across various tools to enhance sales productivity and revenue growth.

The QA Analyst will perform manual testing, create test cases, utilize AI tools, assist with automation, and collaborate with teams.

The role involves designing and optimizing large-scale ML data pipelines, ensuring high-throughput data ingestion and processing, collaborating with teams on data workflows, and architecting GPU-based environments.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.

As a Forward Deployed Engineer, drive customer success through AI deployments, optimize systems for reliability, and collaborate with teams to enhance products.

The AI Product Manager will lead product discovery and strategy, prototype solutions using AI tools, perform competitive analysis, track product metrics, advocate for user experience, and collaborate with different teams.

Design and deploy production AI systems that integrate backend services, build reusable ML infrastructure, optimize AI systems, and mentor engineers on best practices.

The AI Operations Specialist will design, deploy, and optimize AI-driven workflows, enabling automation and improving operational efficiency. Key tasks include building AI agents, integrating tools, and training teams on AI solutions.

The Senior Software Engineer will develop AI-integrated products with Javascript and Typescript, contribute to web application deployment, and ensure code quality within a dynamic team.

Build and enhance web applications using AI tools, develop frontend and backend integrations, automate workflows, and design UI screens, while collaborating in a fast-paced environment.

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

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

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