Top Artificial Intelligence Jobs in Hyderabad

Owns RTL architecture and design for on-chip memory controllers and complex memory-product blocks. Responsibilities include meeting performance, power, and area targets; developing synthesis and timing constraints; performing verification, timing closure, physical signoff, and ECOs; supporting post-layout simulation, silicon validation, and tape-out. The role also establishes design practices, mentors and trains engineers, participates in recruiting, collaborates across engineering teams, and applies AI to design and verification automation.

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.

Leads a Site Reliability Engineering team responsible for application resiliency, scalability, security, monitoring, automation, and customer experience. Establishes organization-wide SRE practices, reliability metrics, postmortems, and continuous improvement processes. Manages performance, hiring, career development, and collaboration across teams. Guides the safe, auditable use of enterprise AI in reliability workflows while coaching technologists and resolving complex technical issues.

Design and validate high-speed package interfaces through electrical modeling, simulation, characterization, and testing. Collaborate with circuit, product, and system engineering teams to optimize silicon and package designs, correlate models with system measurements, and support future memory generations. Develop scalable AI and automation solutions for engineering challenges.

Design and validate high-speed electrical interfaces and package interconnects for memory products. Responsibilities include electrical model extraction, frequency- and time-domain simulation, test planning, measurement validation, package correlation, and collaboration with circuit, product, and system engineering teams. The role also develops scalable AI and automation solutions for engineering problems.

Develop and maintain full-stack enterprise applications using .NET, C#, ASP.NET, WCF, and SQL Server. Design database schemas, stored procedures, functions, triggers, and migration scripts using T-SQL. Participate in Agile development, code reviews, debugging, performance optimization, mentoring, and technical guidance. Apply software security practices and responsible AI principles. Leverage AI tools for coding, testing, documentation, and optimization while evaluating generated code for quality and security.

Leads a team building and operating Windows Fundamentals backend services, telemetry platforms, data pipelines, metrics, and diagnostic systems. Owns technical strategy, architecture, reliability, security, observability, and operational excellence while using large-scale telemetry and statistical analysis to improve Windows health. Responsibilities include hiring, coaching, roadmap ownership, cross-team collaboration, incident response, and applying automation and AI-assisted analysis to engineering workflows.

Leads the design, development, deployment, and technical direction of scalable full-stack web applications using React, Java, Oracle, and related technologies. Owns the software lifecycle, translates business requirements into technical solutions, conducts code reviews, optimizes performance and security, and mentors developers. Collaborates with UX, QA, product, and engineering teams while architecting enterprise applications, REST APIs, microservices, database integrations, and messaging systems.

Provides company-wide technical leadership across products and shared platforms. Shapes product and platform direction, guides cross-product architecture, designs and implements critical software, and leads production AI practices. The role drives secure, scalable, reliable engineering, mentors principal-level technical leaders, influences executive decisions, and translates technical investments into customer and business outcomes.

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.

Leads and scales Regeneron’s G&A Digital & Technology organization in Hyderabad. Oversees enterprise application development, integration, testing, release management, production support, and operational excellence across HR, Finance, Legal, Compliance, Analytics, AI, and other corporate functions. Builds global delivery capabilities through hiring, organizational design, talent development, governance, vendor management, and succession planning. Partners with senior business and technology leaders to establish roadmaps, improve reliability and quality, manage risk, and advance AI-enabled automation.

Own the architecture and implementation of AI-native user experiences across ServiceNow’s platform. Design agent-to-UI interactions, streaming experiences, uncertainty handling, human-in-the-loop workflows, and trustworthy reasoning visibility. Lead UXC and Workspace platform architecture, write production frontend code using Lit.js and React/TypeScript, and collaborate with ML and backend teams using Java, Python, PostgreSQL, and Kubernetes. Mentor senior engineers, align technical decisions with business outcomes, and drive cross-functional execution.

Develop, maintain, test, debug, and support reliable software applications. Participate in code reviews, incident root-cause analysis, live-service monitoring, agile delivery, and DevOps practices. Collaborate with senior engineers and stakeholders, estimate simple changes, lead small technical initiatives, apply test automation, and continuously develop technical and problem-solving skills while following security, release, and engineering standards.

Leads multiple software engineering and technology transformation areas across Global Customer Platform. Manages senior engineering teams, drives platform modernization and cloud-native delivery, oversees complex projects, and influences executives across a matrixed organization. Responsibilities include system design, testing, operational stability, talent development, stakeholder alignment, governance, and large-scale modernization. Preferred experience includes mainframe workload retirement, automated parity validation, self-service enablement, transformation governance, partner management, and hands-on coding.

Leads the design and operation of scalable backend services, telemetry systems, data pipelines, and diagnostic workflows for Windows device health. Defines metrics and measurement strategies, analyzes large-scale telemetry, investigates regressions and customer impact, and translates findings into engineering improvements. Establishes reliability, security, observability, and data-quality standards while mentoring engineers and influencing architecture across Windows, data science, security, silicon, OEM, and service teams.

Leads software engineering across multiple teams, designing large-scale distributed systems, setting technical strategy, driving complex initiatives, and introducing emerging technologies. The role includes mentoring senior engineers, guiding architecture, managing direct reports, improving engineering standards, championing AI-assisted development, and communicating technical vision to senior stakeholders. The Lead Developer also identifies technical opportunities, manages technical debt, partners with Product, and delivers multi-quarter initiatives aligned with business goals.

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.

Develop and execute verification and validation strategies for embedded software, power-system protection and control products, and industrial communication protocols. Build Python-based automated test frameworks, simulators, and AI-assisted testing agents; perform interoperability, integration, regression, performance, and fault-injection testing. Analyze logs and network traces, troubleshoot firmware and system issues, and conduct root-cause analysis across relays, IEDs, RTUs, SCADA systems, and substations. Maintain CI/CT pipelines and ensure AI-driven testing remains traceable, explainable, repeatable, and human-validated.

Develop and ship Yahoo Mail mobile features for Android, owning projects from technical design through deployment, monitoring, and improvement. Build scalable solutions using Kotlin, Java, Android frameworks, Jetpack Compose, and React Native; integrate APIs; address performance, reliability, and usability challenges; conduct code reviews; collaborate cross-functionally; mentor teammates; and use AI development tools to improve engineering productivity while maintaining quality and security.

Design, develop, and implement software solutions across the full SDLC. Build microservices, troubleshoot application issues, participate in code and design reviews, and collaborate on requirements and project planning. The role requires experience with Java or Python, Spring, databases, workflow orchestration, containerization, messaging platforms, cloud services, CI/CD, domain-driven design, and agile delivery.

Design, develop, maintain, and support full-stack software systems across Windows and Unix environments. Implement services (WebAPI/REST), database-backed features, CI/CD automation, and cloud integrations. Participate in architecture, DevOps, performance tuning, and use AI-assisted tools to improve development productivity and code quality while collaborating in Agile teams.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG-based features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying software engineering, SDLC, agile, cloud-native, API, database, and CI/CD practices. A minimum of five years of Java full-stack development experience and 15 years of full-time education are required.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend components, integrate APIs and prebuilt AI services, implement RAG features when appropriate, and use AI-assisted coding tools to accelerate delivery. Collaborate with architects and AI specialists while applying SDLC, agile, testing, documentation, integration, and cloud-native engineering practices.

Develop and enhance scalable full-stack enterprise applications using Java and modern front-end frameworks. Build backend and frontend components, integrate REST or GraphQL APIs and pre-built AI services, and implement RAG features where appropriate. Use AgentAI copilots and LLM-based tools for coding, debugging, testing, and documentation while following software engineering, SDLC, agile, cloud-native, and CI/CD best practices. Collaborate with architects and AI specialists to deliver high-quality solutions.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build front-end and back-end components, integrate AI services and APIs, implement RAG features, and use AI-assisted development tools for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying enterprise engineering, SDLC, agile, cloud-native, and CI/CD practices.