Top Artificial Intelligence Jobs in Hyderabad

Leads product roadmap strategy, cross-functional project execution, quality management, incident resolution, workflow design, process optimization, and team development. Oversees product lifecycle activities from requirements and prototyping through testing, user acceptance, and deployment. Builds scalable product development operations, manages stakeholders and escalations, mentors team members, and promotes accountability, automation, and continuous improvement.

Leads enterprise IT service management across global, multicultural, and multi-vendor environments. Establishes ITSM goals, governance, metrics, and continuous-improvement practices while managing stakeholders, third parties, resources, and cross-functional teams. Applies ITIL, Lean Six Sigma, ISO 20000, DevOps, and Site Reliability Engineering concepts to improve service outcomes, reduce toil, and identify automation opportunities. Requires strong leadership, communication, planning, analysis, and business stakeholder-management skills.

Leads strategy, architecture, and delivery for large-scale ETRM, data, cloud, and digital transformation programs in global energy organizations. Designs ION Endur and RightAngle trading platforms, enterprise data architectures, integrations, cloud-native solutions, and AI-enabled capabilities. Oversees trade lifecycle, risk, settlements, analytics, governance, and modernization initiatives while managing senior stakeholders, mentoring cross-functional teams, and ensuring secure, scalable, resilient technology delivery.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Build and ship product features for government procurement and contract lifecycle software. Responsibilities include writing efficient Java code, applying data structures and algorithms, designing and managing SQL and NoSQL databases, using AI tools, debugging, testing, and owning software end to end.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Writes high-quality long-form content about AI, enterprise technology, infrastructure, and related topics. Responsibilities include researching complex subjects, developing thought leadership, whitepapers, reports, case studies, website content, and marketing assets; interviewing subject-matter experts; adapting content for varied audiences; editing for accuracy and clarity; and collaborating with marketing and SEO teams.

Designs Databricks data ingestion pipelines using PySpark and PySQL, develops and deploys Databricks Apps, and configures permissions, tokens, and service principals. Builds AI applications with FastAPI, React, Claude APIs, prompt engineering, vision processing, retrieval augmented generation, guardrails, graph analysis, and caching. Performs scenario-based testing, translates user requirements into code changes, and integrates custom notifications through APIs and webhooks.

Warriors Lab seeks innovators to develop solutions for real-world problems. Candidates may bring their own idea or join the innovation team to research, design, prototype, build, test, improve, and deliver products. The role offers mentorship, infrastructure, research and testing support, and potential venture leadership. Initial compensation is a small monthly stipend, followed by a full-time fixed salary after successful completion of the first three months.

Build and scale the APAC developer community for an open-source AI foundation. Responsibilities include developer advocacy, contributor programs, technical content, ecosystem partnerships, governance support, events, hackathons, and community metrics. The role serves as a public representative, translates complex technical concepts for developers, and collaborates with maintainers, researchers, enterprises, and open-source communities to grow adoption and participation.

Build and lead the AI engineering platform for enterprise COBOL modernization. Responsibilities include designing transformer models for COBOL-to-Java/Python translation, developing high-performance code analysis engines, optimizing inference, architecting distributed cloud-native systems, and delivering reliable AI pipelines for large enterprise codebases. The role also includes hiring and leading engineering teams, shaping product strategy, and partnering with the CEO as a technical co-founder.

Investigate escalated production incidents (DB anomalies, failed payments, data migrations), write post-mortems and runbooks, and build AI-powered automation (LLM diagnostics, agents) plus developer tooling. Maintain CI/CD, GCP infrastructure, container deployments, observability, and partner on ERP and payment provider integrations.

Hiring for multiple software engineering opportunities in Hyderabad, including fresher and experienced positions across Java, testing, Python, DevOps, AWS, full-stack development, data science, AI/ML, cybersecurity, Node.js, and React.js.

Own the backend and agent systems powering LLM products, including multi-turn conversations, tool calling, RAG, state management, evaluations, monitoring, and production reliability. Diagnose failures across models, knowledge systems, tools, and infrastructure; establish regression testing and quality measurement; and guide product and technical decisions. The role requires shipping and improving LLM features at scale, strong backend engineering, disciplined evaluation practices, and preferably Web3 experience.

Develop and enhance scalable full-stack accounting and finance applications using Python, Django, FastAPI, and React. Build APIs, responsive interfaces, data models, and AI-driven features; integrate machine learning models and third-party services; optimize performance, reliability, security, and scalability; troubleshoot production issues; and contribute to continuous improvements in development processes and technology.

Provide technical support for database and AI infrastructure, troubleshooting data modeling, query performance, Kubernetes clusters, cloud and on-prem environments, networking, storage, APIs, and RAG systems. Analyze logs, identify root causes, debug product issues, collaborate with Engineering, Product, QA, and Customer Success, document solutions, and explain technical concepts to customers. Requires strong database, cloud infrastructure, Linux, scripting, communication, and problem-solving skills.

Build and integrate AI agents, APIs, webhooks, databases, and business-system automations. Translate business processes and customer flows into simple, efficient workflows with minimal code. This is a remote, part-time individual-contributor consulting engagement requiring hands-on system building and immediate availability.

Conduct frontier AI research across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarking, and evaluation. Design experiments, datasets, prototypes, tooling, and evaluation frameworks; train and assess models; analyze results; ensure rigor and reproducibility; and translate findings into scalable AI products. Collaborate across research, engineering, product, and operations teams, communicate technical insights, contribute to publications or open source, and mentor engineers and researchers.

Leads end-to-end delivery of large-scale AI and software-engineering data programs, managing scope, timelines, quality, throughput, contributors, and costs. Designs workflows for coding datasets, agentic trajectories, reinforcement-learning environments, benchmarks, and evaluations. Builds quality-control systems, analyzes operational metrics, manages distributed technical contributors, communicates with AI lab customers, translates research goals into task specifications, automates reporting with code, and develops reusable operational playbooks.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Design and lead enterprise agentic AI architectures on AWS, including multi-agent workflows, RAG solutions, LLM integrations, and API-based tools. Build production systems with Bedrock, AgentCore, SageMaker, LangGraph, CrewAI, and LlamaIndex. Establish security controls, identity management, guardrails, observability, tracing, evaluation pipelines, and managed-service deployments. Collaborate with enterprise teams and communicate architecture decisions effectively.

Lead the design and delivery of AI/ML and Generative AI solutions, including RAG systems, LLM applications, prompt-driven agents, automation pipelines, and proof-of-concepts. Develop and fine-tune models, evaluate AI frameworks and cloud services, establish responsible AI practices, guide technical best practices, collaborate with stakeholders, and ensure enterprise security and compliance.

Leads the design, development, deployment, and optimization of scalable AI/ML solutions, including generative AI, LLM, NLP, and RAG applications. Drives architecture and solution design, develops production-ready models, collaborates with engineering and R&D teams on proofs of concept and deployments, ensures application scalability and reliability, and mentors engineers.