Top Artificial Intelligence Jobs in Hyderabad

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.

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.

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.

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 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 technical software development at the product, team, or domain level. Designs and delivers stable, scalable, secure, accessible, and testable solutions; conducts code reviews; applies DevOps, agile, automation, and quality practices; supports incident analysis and technical governance; mentors junior engineers; provides hardware, software, and network support; communicates with stakeholders; and drives reuse, innovation, application health, and continuous improvement.

Leads and coaches multiple software engineering teams while overseeing resources, budgets, technical execution, and operating practices. Drives enterprise adoption of AI-assisted engineering and SDLC automation with governance, security, quality, and measurable delivery outcomes. Guides Java backend development and AWS cloud-native distributed services, participates in architecture and design reviews, promotes testing, CI/CD, observability, and secure coding, and collaborates with product and business stakeholders.

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.

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.

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, 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.

Leads backend engineering teams developing reliable, scalable applications with Node.js and TypeScript. Oversees system integrations across cloud and on-premises platforms, API and database connectivity, transaction management, failure recovery, validation, retries, and AI capability implementation. Supports distributed system architecture, microservices, cloud services, and application optimization, with preferred AWS experience. Collaborates across departments and manages developers delivering secure, highly available backend products.

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).

Designs, develops, tests, deploys, and supports MES and factory automation solutions for semiconductor Assembly and Test manufacturing. Translates manufacturing requirements into scalable applications and integrations using APIs, microservices, messaging, cloud-native architectures, and DevOps practices. Supports testing, factory go-lives, hypercare, production troubleshooting, root-cause analysis, and continuous improvement. Collaborates with global manufacturing, engineering, product, and business teams while applying AI-assisted engineering tools.

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.

Own and scale Azure infrastructure, Azure DevOps CI/CD pipelines, security permissions, and DevOps methodology for Microsoft’s silicon front-end CAD organization. Develop Python-based CAD automation and integrations, improve reliability through monitoring and incident response, partner with EDA, Azure, and security teams, drive infrastructure roadmaps, and mentor engineers and interns.

Design, build, and deploy cloud-native full-stack applications on Azure, integrating AI features (search, chat, RAG) across UI, API, services, and data layers. Deliver features end-to-end including tests, code reviews, CI/CD, observability, and security; collaborate with architects and stakeholders and apply Responsible AI principles.

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.

Define and evolve scalable application architectures across backend, frontend, data, integrations, security, and cloud deployment. Establish engineering quality standards, testing practices, observability, and technical governance. Develop responsible AI-assisted software engineering guidelines, workflows, and quality controls. Provide hands-on technical leadership through architecture reviews, prototypes, reference implementations, critical code reviews, mentoring, and cross-team alignment.

Develop scalable Python and Flask applications, APIs, Azure cloud solutions, data pipelines, PostgreSQL databases, Redis integrations, and front-end components. Build agentic AI solutions, automated Playwright tests, and CI/CD processes while supporting secure coding, performance optimization, code reviews, troubleshooting, and production operations. Collaborate with product, architecture, DevOps, and security teams in an Agile environment.