Top Artificial Intelligence Jobs in Hyderabad

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

Develop and maintain scalable APIs and Kubernetes environments for machine learning models. Collaborate with teams to deploy and support AI solutions, ensuring stability and security through rigorous testing.

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.

As an Enterprise AI Analyst, you'll design AI solutions, collaborate with clients, and oversee model development while providing support for deployment and optimization.

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.

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

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

The Senior AI Engineer will develop and maintain software solutions in a SaaS environment for life sciences, focusing on AI-powered applications and architectural decisions for data management and analytics.

Build and deploy autonomous AI agents and internal copilots that research, enrich, reason, and execute GTM workflows. Implement RAG with embeddings and vector DBs, integrate agents with HubSpot and internal systems, automate data pipelines and scraping, and own agent systems end-to-end from prototype to production.

Manage and optimize data annotation and machine learning workflows, ensuring high-quality data for AI models, while engaging with clients and providing team training.

Design and build AI data architecture and APIs with Python/Django; manage SQL, MongoDB and Pinecone vector databases; integrate and optimize AI models, context/prompt builders; collaborate with leadership and engineers; research AI/data engineering advancements.

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

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.

Prototype bold visual directions and create AI styles, images, and videos. Develop and refine prompts for AI design tools, iterate quickly on experiments, and collaborate with creatives to deliver impactful AI-driven design assets for millions of users.

The Principal AI Researcher will advance Generative AI systems through research, development, and leadership in technical projects, with responsibilities including algorithm design, mentoring, and producing research publications.

The Applied AI Researcher will conduct research to advance AI systems, design and implement methodologies, develop algorithms, and partner with teams for product integration.

Seeking a hands-on Data Scientist with 4-10 years in AI/ML for model development and optimization in generative AI. Responsibilities include managing experiments across text, audio, and video modalities, and driving initiatives in a dynamic R&D environment.

Seeking an AI/ML Engineer with 4+ years of experience to design, develop, and implement AI models and solutions, collaborating across teams to translate enterprise needs into practical applications.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

Lead end-to-end full-stack feature development using AI agents across frontend and backend: own requirements, architecture, implementation, testing, rollout, and monitoring while improving AI-native engineering workflows and reliability.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.

The role involves designing and deploying intelligent Voice Agents to solve business problems, ensuring performance and scalability, and collaborating across teams to implement AI-driven solutions.