Top Artificial Intelligence Jobs in Hyderabad

Own the administration, security, reliability, observability, and cost management of the company’s data platform. Operate and optimize Snowflake during migration from BigQuery, manage AWS S3 and vendor data ingestion, extend practices to Postgres and NoSQL databases, and implement access controls, SSO, encryption, monitoring, incident response, infrastructure as code, and CI/CD. Support machine learning and AI workloads, manage data vendors and tooling, improve cost transparency, and establish reusable data operations practices across teams.

Lead Levanta’s APAC Customer Success function, owning regional strategy, retention, expansion, customer health, forecasting, and P&L-level outcomes. Build and develop the regional team, oversee strategic accounts and escalations, establish scalable processes and playbooks, drive product adoption and measurable ROI, and apply AI and automation to improve efficiency. Partner cross-functionally with Sales, Partnerships, Product, and executive leadership while bringing APAC marketplace and seller insights into company strategy.

Lead and scale the APAC Corporate Account Executive organization, owning revenue performance, recruiting, coaching, forecasting, pipeline health, sales enablement, and process optimization. Develop repeatable sales motions for technical AI and API solutions, partner with Marketing, Product, Growth, and Customer Success, and translate customer insights into go-to-market and product improvements. The role also drives AI-powered sales workflow automation in a fast-paced, remote-first environment.

Own the full sales cycle for Glacier’s recycling-sorting robots and analytics solutions. Conduct technical discovery with recycling plant operators and engineers, scope deployments, develop customer-specific business cases and proposals, address objections, and close contracts. Build relationships and source opportunities through grants, conferences, and industry outreach. Feed customer insights into the engineering roadmap and help shape the company’s go-to-market process. Travel domestically up to 50%.

Create and manage B2B technical content for enterprise technology audiences, including blogs, whitepapers, case studies, web copy, email campaigns, and sales collateral. Translate complex topics into executive-friendly messaging, develop SEO, AEO, and GEO strategies, collaborate with technical experts, analyze competitors and content performance, and manage editorial workflows. The role supports thought leadership, demand generation, organic search growth, and multi-channel marketing programs.

Lead cybersecurity trials and proof-of-concept engagements, translating technical findings into business value for executives and security teams. Research US regional cyber threats, create intelligence briefs and exposure reports, support partners with onboarding and co-selling, and contribute to thought leadership through events, webinars, workshops, and research-driven content. The role requires strong threat intelligence, offensive security, consulting, communication, presentation, collaboration, and self-direction skills.

Supports development and operation of AI and machine learning platforms, including backend APIs, model integrations, Docker and Kubernetes deployments, Azure cloud services, CI/CD automation, monitoring, security, testing, and troubleshooting. Collaborates with engineering, machine learning, product, support, and business teams while completing required technology training and an AI-enabled deployment capstone.

Owns full-funnel marketing across APAC, including regional strategy, budget, demand generation, content, digital marketing, PR, events, localization, agency management, and pipeline reporting. As the first regional marketing hire, this role builds market presence across Taiwan, Japan, Korea, India, and Southeast Asia while partnering with sales and global marketing. The position is based remotely in India and requires approximately 20% regional travel.

Researches funding opportunities and writes, reviews, and manages grant applications for nonprofit partners. The role requires translating complex program information into persuasive funder narratives, using AI tools thoughtfully, maintaining accuracy and deadlines, managing relationships with 25–30 partners, and improving scalable grant-support processes.

Drive adoption and value realization of Neara’s digital-twin platform among Japanese utility customers. Responsibilities include customer engagement, platform enablement, training, ROI and business-case development, stakeholder management, solution expansion, and collaboration with Sales, Deployment, Product, and Engineering teams. The role requires translating customer strategic goals into technical solutions and measurable business outcomes, with regular customer and team travel in Japan and internationally.

Provides first-line customer support for an enterprise AI platform by triaging tickets, collecting logs, resolving common access and Microsoft 365 issues, performing Kubernetes health checks, reproducing problems, escalating cases, meeting SLAs, and maintaining knowledge-base content. The role requires foundational Linux, networking, scripting, database, container, cloud, and AI knowledge, plus strong written communication and a customer-first approach.

Own enterprise software support cases and assist with critical incidents across an AI platform. Troubleshoot Kubernetes and cloud deployments, LLM routing, RAG quality, agent behavior, administration portals, SSO, and MCP integrations. Support customer upgrades and patches, identify root causes, submit bug reports, and create RCAs and knowledge-base articles. The role requires production Kubernetes, cloud operations, Linux, APIs, authentication, databases, scripting, and familiarity with LLM or generative AI applications.

Leads the Hyderabad AI platform support team, manages hiring, training, shifts, and on-call rotations, and serves as the final technical escalation point. Owns severe incident response, customer communications, root-cause analysis, security incidents, support tooling, runbooks, knowledge management, lab environments, and KPI reporting. Partners with Engineering, Product, Security, and field teams while supporting key enterprise accounts and driving recurring issue resolution.

Develop Python applications, automation workflows, enterprise data pipelines, ETL processes, API integrations, and scalable Azure solutions. Build AI agents using LLM APIs, LangChain, and LangGraph, while collaborating with engineering, data, and business teams to identify automation opportunities and deliver proof-of-concepts and production systems.

Supports business analysis for AI, software, ERP, and enterprise technology projects. Responsibilities include gathering and documenting requirements, mapping processes, validating AI applications, supporting UAT, preparing business cases and client materials, and participating in Agile delivery. The role collaborates with consultants, engineers, product managers, and stakeholders across India and Australia while contributing to digital transformation and technology consulting engagements.

Develop and deploy deep learning and computer vision models on IoT and edge platforms. Optimize models through quantization, pruning, conversion, and hardware-aware techniques for real-time, power-efficient inference. Build fault-tolerant video pipelines using embedded AI accelerators, collaborate with researchers, and support cloud-to-edge architecture for vehicle-mounted public safety applications.

Reviews AI-generated messages and actions before external delivery, makes real-time judgment calls on ambiguous cases, identifies errors in timing, tone, intent, and context, and reports recurring automation issues. The role also contributes to system-training guidelines and operational projects while working six overnight shifts weekly on a remote contract basis in India.

Build production-ready agentic AI applications that integrate generative AI with traditional engineering systems. Translate ambiguous requirements into technical specifications, design and validate AI workflows, improve reliability and security, optimize inference costs, and establish observability. The role requires strong machine learning fundamentals, experience with foundation models, RAG, fine-tuning concepts, and major ML frameworks. It also includes mentoring engineers and collaborating with product, security, and engineering stakeholders.

Build and manage production AI agents, high-precision RAG pipelines, and LLM-powered features. Develop backend architecture using Postgres, REST APIs, asynchronous programming, queues, storage, RBAC, and encryption. Integrate foundation models, establish evaluation patterns, write automated tests, monitor system health, and collaborate with product managers on reliable, secure AI applications.

Reviews, verifies, approves, rejects, and audits AI marketplace listings to ensure accurate, complete, consistent, current, and regulation-compliant public content. Validates product details and claims against reliable sources, maintains moderation records and evidence, escalates unverifiable information, and collaborates with product, engineering, and AI teams to improve content validation workflows.

Build and own Supabase’s AI tooling, including agents, MCP servers, agent skills, dashboard assistants, and developer-facing AI capabilities. Establish eval-first development through benchmarks, instrumentation, quality KPIs, and regression gates. Design how documentation and product knowledge are exposed to agents, create reusable AI patterns, and collaborate across Docs, CLI, Frontend, SDK, and infrastructure teams. Improve reliability, testing, authentication, hosting, and developer experience in a fast-moving, globally distributed environment.

Produces professional, brand-ready corporate videos using generative AI from concept through final export. Responsibilities include model selection, prompt and reference engineering, asset preparation, storyboarding, cinematography, editing, sound, color, quality control, governance, and workflow development. The role diagnoses generation issues, maintains reusable asset libraries, ensures brand and legal compliance, coaches creative teams, and presents work to stakeholders. Expert Higgsfield experience and a strong AI-generated video portfolio are required.

Own the architecture and technical direction of Distru’s AI product suite. Build and operate production multi-agent systems, MCP integrations, contextual memory and unified data layers, evaluation frameworks, observability, reliability, and safe workflow execution. Establish engineering standards, prototype emerging agentic approaches, collaborate with customers and product teams, and influence roadmap and technical direction.

Design and evaluate rigorous hardware engineering problems for AI training projects. Develop reference solutions using calculations, simulations, Python scripts, engineering software, and experimental reasoning. Validate models against physical test data, create verification methodologies, investigate hardware failures, and document reproducible technical solutions. The role requires substantial hands-on hardware engineering experience, strong programming ability, and mandatory experience with AI Coding Agents.

Designs, builds, and deploys production AI systems, including LLM pipelines, RAG applications, agentic workflows, data platforms, APIs, and user-facing interfaces. Responsibilities include evaluating models, creating guardrails and observability, processing large-scale behavioral data, deploying cloud-based services, troubleshooting production systems, and iterating based on user behavior. The role requires full-stack development, strong Python and ML fundamentals, product thinking, and effective remote collaboration.