Top Artificial Intelligence Jobs in Hyderabad

Leads global semiconductor defense-line process control systems, standardizing DL4 workflows, specifications, signal behavior, test coverage, failure analysis, and dispositions across sites. Drives automation and AI enhancements, monitors assembly and test specifications, reviews test programs, and improves detection and reliability processes. Requires expertise in semiconductor device physics, TCAD and compact modeling, analog circuit analysis, electrical test data analytics, root cause analysis, statistical modeling, and cross-functional collaboration.

Lead full-chip floor planning, custom analog and mixed-signal layout, physical implementation, verification signoff, and tape-out for advanced memory and high-speed interface designs. Own DRC, LVS, ERC, EMIR, reliability, and manufacturability closure. Define scalable layout methodologies, drive AI-enabled design automation, lead global cross-functional teams, mentor engineers, and deliver advanced-node semiconductor products.

Provides systems safety engineering for aircraft turbine engines and power systems. Conducts hazard, reliability, and root cause analyses; develops safety requirements, plans, procedures, and reports; reviews designs for regulatory compliance; manages requirements using DOORS; supports certification and qualification; collaborates cross-functionally on risk mitigation, reliability metrics, process automation, and AI-enabled safety improvements.

Provides technical leadership for FAA and EASA certification and qualification of aircraft turbine engines and auxiliary power units. Prepares and reviews certification and qualification plans, reports, and related artifacts; coordinates with aviation regulators; standardizes and improves certification processes; and applies automation and artificial intelligence to reduce cycle time and cost. Supports systems engineering activities, talent development, technical coaching, and innovation across Honeywell Aerospace programs.

Design and maintain high-throughput backend services and concurrent asynchronous workflows using Python and Go. Build control-plane integrations with secure execution environments, scalable gRPC and REST APIs, and systems that process evaluation and event data. Collaborate across teams, document technical designs, review code, test systems, monitor performance, investigate bottlenecks, and improve reliability for distributed AI-agent orchestration platforms.

Lead full‑stack engineering for Java Spring Boot and React.js applications: design scalable microservices and APIs, integrate generative AI (LLM APIs/RAG), collaborate on cloud/DevOps deployments, enforce code quality, and mentor engineers to deliver product features.

Lead the design, development, testing, deployment, and maintenance of enterprise intelligent automation solutions using UiPath, low-code platforms, Generative AI, and Agentic AI. Integrate LLMs, AI agent frameworks, APIs, databases, message queues, and enterprise systems across cloud environments. Guide less experienced engineers, resolve technical challenges, support scalable and secure architectures, and contribute to strategy, governance, CI/CD, and compliance initiatives.

Design, develop, deploy, and operate secure, highly available backend services for identity, authorization, privileged access, and cloud infrastructure. Lead design and coding efforts, make architecture decisions, conduct code reviews, collaborate with global engineering partners, implement monitoring and safe deployment practices, and mentor team members. Apply AI-first development practices to improve operational safety, scalability, security, and engineering productivity.

Manage and optimize multi-cloud infrastructure (Azure, AWS, GCP), support AI/ML workloads, implement IaC and CI/CD, automate operations, ensure cloud security and compliance, and collaborate across teams while providing on-call and documentation support.

Design and maintain high-throughput backend services and concurrent asynchronous workflows for AI agent evaluation. Build control-plane integrations with secure execution environments, scalable gRPC and REST APIs, and resilient event-driven systems. Collaborate across teams, document technical designs, review code, test comprehensively, monitor performance, investigate bottlenecks, and ensure reliable distributed orchestration. Apply understanding of LLM APIs, prompt constraints, and non-deterministic AI system testing.

Develop and implement numerical and computational models (structure, materials, process) to support DRAM and NAND node development. Collaborate with process and product teams, create modeling tools and algorithms, analyze results, and present insights to engineering teams and leaders for silicon implementation.

Lead development of secure, scalable Java and cloud-native software products. Provide technical guidance, write and review production code, lead AI-assisted engineering adoption, and drive software lifecycle automation. Design and migrate microservices, APIs, and databases in production while ensuring observability, SRE, testing, security, and operational excellence. Lead small teams, influence broader engineering organizations, mentor engineers, and own technical estimates, timelines, and delivery outcomes.

Manages solution architecture teams delivering complex Microsoft Cloud and AI transformation engagements. Oversees customer and partner alignment, architecture design, requirements traceability, testing, governance, risk mitigation, delivery quality, and portfolio outcomes. Coaches architects, supports presales and strategic account growth, resolves escalations, develops reusable intellectual property, and serves as a trusted technical advisor to senior stakeholders. Builds thought leadership through mentoring, knowledge sharing, industry engagement, and external presentations.

Manage backend software development teams building reliable, scalable applications with Node.js and TypeScript. Lead system integrations across cloud and on-premises environments, oversee APIs, databases, transaction handling, failure recovery, validation, retries, and cloud services. Support AI and machine learning capabilities, distributed system architecture, security, troubleshooting, and performance optimization. The role is primarily based in Hyderabad with remote flexibility and requires collaboration across departments.

Lead Gas Power should-cost and cost-out initiatives by estimating sourced-part costs, developing cost models, identifying value-engineering opportunities, and supporting supplier negotiations. Partner with sourcing, supply chain, manufacturing, engineering, digital, and P2V teams to deliver cost reductions. Lead project execution, manage timelines and risks, develop traditional and AI-enabled methodologies, mentor team members, and improve costing processes.

Lead design, development, and deployment of scalable full‑stack web applications using React front-ends and Java/Oracle backends. Own product lifecycle, conduct code reviews, mentor engineers, drive AI-augmented engineering practices, optimize performance and security, implement testing and CI/CD practices, and collaborate with product, UX, and QA teams to translate business requirements into technical solutions.

Lead pre-sales and delivery of large cloud modernization and digital transformation engagements. Define solution and application architecture, drive Azure infrastructure designs, ensure technical success, mentor teams, engage CxO stakeholders, and convert services opportunities into projects while ensuring customer value and operational excellence.

Lead an agile mobile engineering team to design, implement, and support .NET-based services and mobile applications. Develop new features, maintain production systems, troubleshoot across the full stack, mentor engineers, integrate AI-assisted tooling and AI features, implement SSO/identity protocols, and ensure high performance, availability, and security.

Develop and integrate scalable SAP BTP solutions using CAP, RAP, APIs, SAP HANA Cloud, and enterprise integration patterns. Build AI-ready SAP services, including MCP servers, and connect AI solutions with SAP applications and enterprise data platforms. Lead client engagements, technical specifications, architecture, estimations, quality reviews, incident and change management, risk escalation, and status reporting. Mentor junior team members, collaborate with SAP functional consultants, and ensure secure, reusable solutions aligned with clean core principles and service-level agreements.

Design, develop, and maintain scalable automation frameworks for web applications, APIs, and end-to-end workflows. Build API automation, integrate testing with CI/CD pipelines, and apply Generative AI, AI Agents, prompt engineering, and intelligent analysis to improve test coverage and quality. Collaborate across the SDLC, evaluate emerging automation technologies, and lead automation initiatives from design through implementation.

Provides production support for enterprise RPA applications, investigating incidents, triaging failures, identifying root causes, and delivering minor automation changes. Uses AI coding and testing assistants, LLM APIs, and prompting techniques to improve development and issue resolution. Supports Blue Prism workflows, work queues, testing, releases, documentation, governance, and responsible AI practices while coordinating with technical and business stakeholders.

Design, develop, test, troubleshoot, and maintain scalable .NET applications using C# within an established codebase. Own features through the full software development lifecycle, translate requirements into implementations, resolve issues across applications, databases, and integrations, and participate in Agile planning, estimation, code reviews, and delivery. Maintain unit tests and technical documentation while collaborating with QA and stakeholders and proactively managing technical risks.

Designs, develops, tests, troubleshoots, and maintains scalable .NET applications using C# and SQL Server. Owns features through the full software development lifecycle, works within established codebases, resolves complex application and integration issues, participates in Agile ceremonies and code reviews, and collaborates with QA and stakeholders to deliver reliable software.

Analyze and reverse-engineer PowerBuilder applications, then support their migration to .NET and C#. Develop, test, troubleshoot, and document replacement functionality while analyzing SQL Server dependencies, integrations, and migration risks. Collaborate with QA and cross-functional Agile teams on functional equivalence, code reviews, estimation, sprint planning, and technical documentation.

Work in a cross-functional team to develop, implement, and apply numerical and multi-physics models for materials, structures, and processes supporting memory development. Use scientific computing, computational materials methodologies, and ML techniques to analyze results, report findings, and collaborate on next steps. Position is temporary (up to 12 months).