Top Artificial Intelligence Jobs in Hyderabad

Design, build, and deploy production-grade AI applications integrated with LLMs to automate and optimize investment management workflows. Evaluate generative models, implement RAG and vector DB solutions, create automated workflows, collaborate with cross-functional teams, ensure security/compliance, and contribute to architecture, code reviews, and documentation.

Build and ship production-grade full-stack applications for agentic AI use cases. Own user experience, application architecture, enterprise security, permissions, agent safeguards, auditability, deployment, scalability, observability, and marketplace packaging. Translate complex AI and graph capabilities into intuitive investigation workflows, collaborate with customers and cross-functional teams, and create reusable, configurable products deployable across enterprise customers and cloud environments.

Build and deploy production-grade AI/ML systems spanning LLMs, RAG, agentic AI, computer vision, edge AI, and autonomous robotics. Responsibilities include model fine-tuning, distributed system architecture, GPU optimization, simulation-based robotics development using MuJoCo and Isaac, autonomous driving simulation, and end-to-end algorithm deployment. The role requires translating business problems into scalable AI products and contributing to commercialization and product-market fit.

Design and operate governed, AI-ready data products, semantic layers, and natural-language analytics experiences on Snowflake and/or Databricks. Build ETL/ELT pipelines with dbt, Airflow, Snowpark, and PySpark; deploy Cortex or Genie capabilities; develop RAG applications; implement governance, security, lineage, and metadata controls; optimize platform and LLM costs; and partner with Finance stakeholders on trusted data products.

Lead end-to-end enterprise AI engagements for supply chain clients, from presales discovery and solution design through development, deployment, go-live, and post-deployment success. Advise executives, run workshops, scope use cases, design AI architectures, present proposals and demos, collaborate with engineering and data science teams, debug production systems, mentor teams, and develop reusable AI thought leadership and accelerators.

Design, develop, and deploy enterprise Generative AI applications using LLMs, RAG, and agentic AI frameworks. Build conversational assistants, chatbots, document intelligence platforms, copilots, autonomous agents, vector search pipelines, and scalable Python/FastAPI services. Deploy solutions across Azure, AWS, or GCP using Docker, Kubernetes, and CI/CD. Monitor production AI performance, collaborate with architects and product teams, participate in Agile ceremonies, and mentor junior engineers.

Architect and improve autonomous AI optimization algorithms for a marketing platform. Analyze A/B tests, integrate AI models, develop multi-touch attribution, expand advertising-channel capabilities, reduce inference costs and latency, incorporate customer feedback, and maintain reliable, continuously improving optimization loops.

Develops full-stack AI and machine learning applications using web technologies, statistical modeling, deep learning, databases, cloud platforms, and APIs. Designs algorithms, translates technical specifications into code, performs testing and debugging, documents solutions, and improves product and system performance. Works independently on complex initiatives, collaborates with stakeholders, mentors colleagues, and may manage projects or review others’ work.

Design difficult open-web research problems for benchmarking frontier AI browsing agents. Responsibilities include constructing multi-step questions, validating clues through government and institutional sources, tracing evidence across archives and PDFs, documenting auditable citations, testing search difficulty, eliminating ambiguity, and delivering reproducible research documentation.

Design, develop, and deploy generative AI and NLP solutions using Python and related libraries. Integrate models with React front ends, use LangChain/LangGraph, AWD Bedrock and Azure Foundry for deployment, optimize model performance, handle large datasets, implement RAG and vector search, mentor junior engineers, and maintain documentation and best practices.

Design and implement end-to-end AI/ML systems for robotic perception and control: research and build CV modules, train and benchmark models, prototype in simulation, transfer to real robots, create preprocessing/postprocessing pipelines in Python/C/C++, and optimize for real-time edge deployment.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Own enterprise AI engagements from discovery through production deployment. Design, build, integrate, debug, evaluate, and harden agentic systems using LLMs, RAG, tool calling, workflows, and guardrails. Lead technical workshops, proofs of concept, solution scoping, and executive ROI discussions. Measure adoption, containment, accuracy, and cost outcomes; create reusable delivery assets; enable partners; and provide product feedback. The role is customer-embedded and requires sustained on-site presence during engagements.

Lead a hands-on AI-first engineering pod building production software for a regulated payments platform. Design agentic orchestration pipelines integrated with Slack, Jira or Linear, Git, pull requests, and CI/CD. Ship product prototypes, improve .NET systems, establish secure engineering guardrails, and promote responsible AI-assisted development. Lead modernization of a legacy .NET Core 2.1 estate, mentor distributed engineers, grow the pod into scrum teams, and influence technical and business stakeholders with minimal direction.

Senior marketing leader responsible for global marketing strategy and execution for IT services and AI solutions in the US/Canada market. Drives demand generation, ABM, digital and AI-powered marketing, product/GTM launches, branding, and analytics. Aligns marketing with sales to accelerate revenue, manages multi-million-dollar budgets, builds high-performing global teams, and leverages CRM, marketing automation, and AI tools to optimize pipeline and ROI.

Lead the architecture and implementation of a production-grade generative AI media platform. Build reproducible, versioned pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, deploy internal tools, and partner with design to own the technical roadmap and enable creative teams.

Develop, deploy, and scale AI/ML and generative AI solutions for a fintech platform. Design data models and pipelines, build agentic frameworks, integrate OCR and vector DBs, implement RAG, and champion MLOps and cloud deployment practices while mentoring teammates.

Build and operate backend services and infrastructure for LLM- and voice-driven healthcare applications. Implement APIs, productionize LLM workflows, deploy cloud containerized services, and monitor performance and reliability end-to-end.

Develop, fine-tune, deploy, and optimize AI/ML models and LLM-based RAG systems using Python, AWS Bedrock, and major ML frameworks. Build scalable REST APIs and microservices with FastAPI or Flask, deploy containerized solutions on AWS, and manage CI/CD. Design databases and automated ETL pipelines, integrate cloud services, and document AI workflows while collaborating with cross-functional technical and product teams.

Create and optimize AI prompts for cinematic image and video generation in a theatrical feature film. Translate directors’ vision into high-quality visuals using cinematography, framing, lighting, and storytelling principles. Collaborate with directors, editors, and creative teams to maintain visual consistency, continuity, and coherence across scenes. Experiment with AI generation tools, troubleshoot outputs, and refine results to meet professional film-quality standards.

Design, build, and optimize AI-driven automation workflows using platforms like n8n, Make, and Zapier. Train, fine-tune, and deploy custom LLMs (OpenAI, Hugging Face, TensorFlow) and integrate LLM APIs. Collaborate with stakeholders, troubleshoot and document workflows, and stay current on generative AI and automation technologies.

Design, build, and optimize AI-driven automation workflows using platforms like n8n, Make, and Zapier. Train, fine-tune, and deploy custom LLMs (OpenAI, Hugging Face, etc.), integrate LLM APIs, collaborate with stakeholders, troubleshoot and document solutions, and stay current on generative AI advances. Mandatory technical assessment required.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

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.