Top Artificial Intelligence Jobs in Hyderabad

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.

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.

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.

Build, operate, and harden LSEG’s Internal MCP Gateway and AI platform services. Implement observability, monitoring, auditing, availability, performance, and reliability capabilities for agent tool-calling and MCP traffic. Support secure AWS hosting, incident response, service management, testing, evaluation, and safe production rollouts. Partner with engineering teams to shape scalable, governed platform architecture for federated MCP delivery.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

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.

Partners with business and technology leaders to translate strategy into enterprise architectures, standards, and roadmaps. Manages application and technology portfolios, identifies modernization opportunities, develops reference architectures, reviews solution designs, and supports architecture and security governance. Provides guidance on integrations, data flows, cloud adoption, lifecycle management, risk, scalability, resilience, and operational supportability while influencing cross-functional teams through collaboration.

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.

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.

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.

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.

Lead design and architecture of secure, scalable multi-tenant platforms integrating Microsoft 365, Power Platform, Copilot and Azure. Review application architectures, define platform standards, drive observability, automation, and operational excellence, mentor engineers, and collaborate with product, security, and operations to deliver compliant enterprise solutions.

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.

Develop scalable enterprise applications and REST APIs using Python or .NET/C#, integrate Azure and Microsoft Fabric services, build SQL-based data and ETL/ELT solutions, and support Lakehouse, OneLake, and Data Warehouse architectures. Integrate LLMs and RAG capabilities into enterprise applications, troubleshoot application and data-pipeline issues, and collaborate with product, data, AI, and business teams. Backend and integration development are the primary focus, with working knowledge of modern front-end frameworks expected.

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.

Designs, operates, and improves scalable cloud infrastructure across GCP and AWS. Builds Terraform-based infrastructure, GitHub Actions CI/CD pipelines, observability, automation, and AI-enabled monitoring and remediation. Manages MySQL and SQL Server databases, Cloudflare services, security controls, repository governance, and incident response. Supports reliability, performance, cost optimization, compliance, and cloud modernization while providing 24/7 on-call coverage and mentoring junior engineers.

Own and develop a customer-facing metrics and reporting platform with a frontend focus using React and TypeScript, while contributing to Python and FastAPI backend services. Build dashboards, tables, filters, visualizations, routing, and saved views; integrate module federation; manage API state and validation; maintain accessibility, testing, performance, and design-system standards; and support production issues across the full stack.

Lead strategy, architecture, delivery, modernization, and operational excellence for clinical, client, and pharmacy platforms. Drive cloud transformation, AI-first initiatives (Agentic/Generative AI), Digital Workers, platform simplification, compliance, and high-performing distributed engineering teams to improve reliability, scalability, and healthcare outcomes.

Lead an engineering team building enterprise platforms on Java, .NET, and Azure while establishing AI-native practices across the software development lifecycle. Responsibilities include integrating AI tools into coding, testing, code review, deployment, and observability; driving scalable application delivery; making architectural decisions; managing technical debt and release quality; evaluating emerging AI tools; developing engineers and technical leads; and supporting hiring and team culture.

Sets technical direction and architecture for large-scale Azure systems using .NET or Java while establishing AI engineering standards. Designs production LLM, RAG, semantic search, and agentic solutions; defines CI/CD, observability, testing, infrastructure-as-code, security, compliance, and model lifecycle practices. Resolves complex architecture challenges, mentors senior engineers, evaluates AI technologies, improves performance and cost efficiency, and partners with executive stakeholders to translate strategy into scalable engineering solutions.