Top Artificial Intelligence Jobs in Hyderabad

Lead development of secure, scalable native iOS capabilities for Backbase’s mobile banking platform. Build Identity and Authentication SDKs and libraries using Swift and Apple technologies, translate business requirements into technical solutions, and uphold engineering quality standards. Collaborate across multidisciplinary squads, write automated tests, maintain CI/CD pipelines, support customers and partners, and promote AI-native development practices. The role requires strong iOS architecture, API integration, mobile security, and fintech or banking experience.

Lead enterprise architecture strategy for a global financial institution. Review fraud-domain application portfolios, assess architecture options and build-versus-buy decisions, conduct rationalization assessments, define target-state “north star” architectures, and create estimates, roadmaps, and transition architecture diagrams. Serve as a technical authority while translating complex business challenges into scalable solutions and collaborating with technical and business stakeholders.

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.

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.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test frameworks; developing tests with Python, Java, or Go; integrating testing into CI/CD pipelines; applying AI/ML for test generation and defect analysis; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.

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.

Research Intern will investigate next-generation storage and memory architectures for AI/ML workloads. Responsibilities include working with NVMe and SPDK storage stacks, exploring memory tiering and disaggregation, evaluating near-storage computing techniques, and prototyping high-performance storage architectures. The role involves performance, scalability, and efficiency analysis, collaboration with senior researchers, and potentially publishing findings.

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.

Designs, builds, and owns scalable SaaS features using .NET/C#, APIs, databases, cloud services, and modern UI frameworks. Leads technical design, testing, compliance, security, production health, incident response, and cross-functional delivery. Uses AI-assisted development tools while validating generated code for security, reliability, scalability, and data integrity. Requires strong system design, communication, and engineering judgment, with opportunities to develop AI-enabled engineering automation.

The role involves developing full-stack web apps, creating APIs, improving lead capture models, and collaborating across teams to enhance the Social Planner product.

Owns end-to-end development of significant SaaS product features using .NET/C#, cloud services, APIs, databases, and modern UI frameworks. Responsibilities include architecture, technical design, testing, compliance, threat modeling, production monitoring, incident response, and collaboration with product and design teams. The role also uses and evaluates AI-assisted development tools while ensuring security, reliability, scalability, and data integrity.

Own the end-to-end design, development, testing, deployment, and production health of scalable SaaS features using .NET/C#, cloud services, APIs, databases, and modern UI frameworks. Lead technical design, architecture, compliance, security, monitoring, incident response, and cross-functional delivery. Apply AI-assisted development tools responsibly while reviewing generated code for security, reliability, scalability, and data integrity.

Owns end-to-end development of significant SaaS product features using .NET, cloud services, APIs, databases, and modern UI frameworks. Responsibilities include system design, architecture, testing, compliance, security, production health, incident response, and collaboration with product and design teams. The engineer also uses and evaluates AI-assisted development tools while communicating technical decisions and driving reliable, scalable solutions.

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.

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.

Designs and develops scalable cloud-based and serverless software across the company’s platform. Builds prototypes and production services, applies AI throughout the SDLC, promotes modern Agile and Well-Architected practices, troubleshoots customer and internal issues, develops comprehensive test suites, and coaches software engineers. The role requires extensive distributed application experience and backend expertise across multiple programming languages, databases, cloud technologies, integrations, and workflow orchestration.

Develop and maintain a production AI SaaS platform across frontend, backend, databases, AI workflows, automation, and infrastructure. Responsibilities include resolving production issues, enhancing content-generation and chatbot features, managing AI memory and personalization, building n8n workflows and API integrations, supporting deployments, monitoring services, and maintaining technical documentation. The role requires independent debugging, AI-assisted development, and close collaboration with founders to ship product improvements.

Develop and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.

Own the CRM Opportunities backend end to end, designing scalable data models, APIs, distributed workflows, event-driven services, and background jobs. Improve performance and reliability across large multi-tenant pipelines while handling consistency, caching, sharding, observability, and incident response. Build AI-assisted CRM features using existing LLM APIs, including context assembly, response handling, cost and latency controls, and graceful degradation. Occasionally ship Vue.js UI changes and operate services through deployment and on-call.

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.