Top Artificial Intelligence Jobs in Hyderabad

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.

Leads the full software development lifecycle while managing and mentoring 5–8 engineers. Architects scalable enterprise solutions on Azure, integrating AI capabilities and machine learning models. Establishes engineering standards, leads technical and design reviews, resolves complex challenges, and drives cloud-native development using microservices, containers, DevOps, and CI/CD practices. Oversees team development, performance management, resource allocation, and delivery of high-quality software.

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. Build high-performance frontend experiences using Lit.js, React, and TypeScript; partner with ML and backend teams on agent orchestration, tool calling, reasoning traceability, and trustworthy human-in-the-loop workflows. Lead UXC and workspace platform strategy, connect technical decisions to business outcomes, mentor engineers, and drive cross-functional execution.

Lead software engineering initiatives involving Python, GenAI frameworks, ETL pipelines, observability, DevOps, databases, reporting, and GCP. Design, code, test, debug, document, and deploy scalable technology solutions while contributing to architecture, standards, reliability, security, and compliance. Act as a technical escalation point, mentor less experienced engineers, manage stakeholders and teams, and evaluate frameworks including Google ADK, AutoGen, LangChain, LlamaIndex, and Crew AI.

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 complex, enterprise-scale software engineering initiatives; designs, codes, tests, debugs, documents, and reviews large-scale technology solutions. Establishes engineering standards, guides best practices, resolves complex technical issues, mentors peers, and leads teams. Designs distributed, cloud-native, event-driven systems using Kafka, streaming platforms, Spring Boot, Angular, React, Kubernetes, and containers, while integrating AI-assisted development tools.

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.

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).

Develops and maintains AML product features for transaction monitoring, alert generation, case management, risk scoring, sanctions screening, and regulatory compliance. Responsibilities include data mapping, integrations, detection tuning, troubleshooting, QA, UAT, release management, documentation, and collaboration with compliance, risk, data science, and product teams. The role also supports machine learning applications, security, privacy, audit readiness, and mentoring within a flexible India-based work environment.

Leads software engineering within an agile Corporate Technology team, designing, developing, testing, troubleshooting, and supporting secure, scalable production systems. Drives adoption of approved AI-assisted development tools, SDLC and automation practices, secure coding, testing, resiliency, and operational improvements. Reviews code, coaches engineers on responsible AI use, evaluates vendor and architecture proposals, and applies Java, React, AI/ML, cloud-native, and financial-services technology expertise.

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.

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.

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.

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.

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.

Build and maintain AI-assisted quality infrastructure, including API and UI automation frameworks, CI/CD pipelines, test reporting, dashboards, alerting, and failure triage systems. Troubleshoot flaky tests and environment issues, support product scrum teams, review code, and promote effective AI-assisted engineering practices. The role emphasizes software engineering and internal platform development rather than direct product testing, machine learning, or data science.

Lead DevOps engineering for AI-enabled software solutions using C#, .NET, and Azure. Responsibilities include designing and maintaining cloud infrastructure, CI/CD pipelines, monitoring, security controls, and production-ready AI platforms. The role provides technical leadership and mentorship, resolves complex engineering issues, drives feature delivery, improves processes, and ensures scalable, reliable, and compliant solutions. Key focus areas include Azure OpenAI, RAG pipelines, agentic frameworks, observability, infrastructure as code, data governance, and secure Azure architecture.

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.

Lead native iOS engineering and mobile platform development using Swift, SwiftUI, UIKit, and Apple SDKs. Design secure, scalable applications, reusable components, APIs, testing, observability, and release workflows. Integrate generative AI, LLMs, agents, and orchestration frameworks into mobile experiences. Champion AI-assisted engineering, developer productivity, architecture standards, and cross-platform collaboration while mentoring engineers and influencing technical decisions across Agile teams.

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.