Top Artificial Intelligence Jobs in Bangalore

Provides technical leadership for designing and building scalable, high-performance software systems. Leads complex engineering initiatives, designs distributed system components, partners with product and cross-functional teams, promotes engineering best practices, mentors developers, and resolves system-wide issues through root cause analysis. The role requires strong expertise in cloud-native development, containerization, scalability, fault tolerance, observability, and large-scale application delivery.

Manages secure data-transfer technologies through installation, configuration, monitoring, testing, migration, maintenance, and troubleshooting. Supports Windows and Linux systems, networks, firewalls, databases, APIs, encryption, and cloud environments. Resolves customer and vendor issues, monitors infrastructure performance, manages tickets, develops administrative procedures, and collaborates on initiatives. Creates scripts and AI prompts to automate routine processes while validating agentic AI output and behavior.

Develop and support cloud-native, API-first internal product creation tools for Nike’s Consumer Product & Innovation teams. Collaborate with engineers, product managers, principal engineers, and cross-functional partners to build modular services and modern web applications. Responsibilities include applying software architecture patterns, developing with front-end frameworks, implementing AWS services, maintaining DevOps and CI/CD practices, using infrastructure as code, and applying modern testing methodologies. AI, machine learning, and data solution experience is preferred.

Architects and optimizes scale-up GPU networking for HPC and AI systems. Designs GPU-to-NIC data movement, DMA pathways, memory registration, and multi-NIC NUMA mappings. Integrates CUDA, ROCm, NCCL, RCCL, UCX, Libfabric, OpenMPI, and SHMEM-based communication stacks. Leads upstream open-source contributions, performance profiling, complex debugging across software and hardware layers, architecture decisions, cross-team delivery, and mentoring of senior engineers.

Develops comprehensive validation plans and Python-based automation for firmware, BIOS/UEFI, iLO products, and server platforms. Executes system-level qualification, analyzes defects, supports release readiness, and collaborates with quality, development, and outsourced teams throughout the software testing lifecycle. The role also applies AI and GenAI tools, including GitHub Copilot, to improve test design, debugging, and automation productivity.

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 digital strategy, enterprise architecture, and implementation of scalable digital platforms. Designs solutions using ServiceNow or equivalent platforms for project and portfolio management, asset management, and application services. Establishes architecture roadmaps, oversees platform lifecycles, integrations, compliance, security, and performance, while mentoring digital professionals and driving continuous improvement.

Lead complex contract logistics solution designs for B2B and B2C fulfillment environments. Develop warehouse operating models, process flows, facility layouts, sizing calculations, resource models, productivity assumptions, costing, pricing, and financial business cases. Evaluate and integrate warehouse automation technologies, support implementation and commissioning, and collaborate with customers and stakeholders during RFIs, RFQs, workshops, and commercial pursuits.

Provides Level 3 customer support for HPE Slingshot software and HPC environments. Analyzes, reproduces, isolates, and resolves complex issues; performs Linux diagnostics, system testing, upgrades, and performance analysis; coordinates escalations with HPE R&D and external suppliers; documents resolutions; supports maintenance windows and major incidents; and mentors less-experienced staff.

Provide technical leadership for large-scale AI infrastructure and distributed systems. Own system architecture, guide multiple initiatives from design through operations, establish engineering standards, mentor technical leaders, and develop reusable platforms emphasizing scalability, reliability, security, compliance, and cost efficiency. Influence cross-functional stakeholders, open-source communities, and long-term infrastructure strategy.

Administer and optimize large-scale HPE PCAI and AI Factory infrastructure, including GPU clusters, HPC systems, containers, virtualization, storage, networking, security, monitoring, and automation. Manage platform lifecycle, patching, incident response, configuration, AI/ML workloads, and operational improvements. Serve as a subject matter expert, final escalation point, and mentor for support teams while collaborating with engineering on releases and reliability.

Develop scalable full-stack enterprise applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document backend and frontend components, including AI services, APIs, and RAG-based features. Use AI-assisted development tools, agile practices, cloud-native technologies, and CI/CD pipelines while collaborating with architects and AI specialists to deliver high-quality software efficiently.

Develop full-stack enterprise applications using Java and modern frameworks, building front-end and back-end components, integrating APIs and AI services, and implementing RAG-based features where appropriate. Use AI-assisted development tools for coding, testing, debugging, and documentation while following engineering and agile practices. Collaborate with architects and AI specialists to deliver scalable, high-performing solutions. The role requires at least 7.5 years of Java full-stack development experience and 15 years of full-time education.

Develop and enhance full-stack enterprise applications using Java and modern frontend frameworks. Build scalable backend and frontend components, integrate REST or GraphQL APIs and AI services, implement RAG features, and use AgentAI copilots for coding, testing, debugging, and documentation. Collaborate with architects and AI specialists while applying SDLC, agile, cloud-native, and CI/CD practices to deliver high-quality software efficiently.

Designs and publishes networking architectures for large-scale GPU clusters and AI infrastructure. Responsibilities include InfiniBand and RoCEv2 fabric design, multi-tenant isolation, Linux and Kubernetes networking, KubeVirt virtualization, hybrid connectivity, research, benchmarking, automation, and customer proofs of concept. The role also presents technical solutions to customers, partners, executives, and industry audiences while influencing the k0rdent AI product roadmap.

Design, build, and maintain automated software testing frameworks and scripts using tools such as Robot Framework and Playwright. Perform API testing, database validation, risk-based testing, debugging, root-cause analysis, and performance evaluation. Document test plans, release notes, and defects while integrating automation into CI/CD quality gates. Collaborate with product managers and cross-functional teams, assess integration risks, and mentor peers and interns.

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 maintain software applications across the full SDLC. Responsibilities include translating requirements into application modules, troubleshooting code, conducting code and design reviews, participating in project planning, and collaborating with business and technical stakeholders. The role requires expertise in Java, J2EE or Python, Spring, databases, microservices, workflow orchestration, containerization, messaging platforms, cloud services, CI/CD, and agile development.

Supports platform engineering, infrastructure automation, CI/CD, and cloud-native observability initiatives. Responsibilities include managing Terraform infrastructure, assisting with Azure DevOps pipelines, automating operational tasks, configuring Grafana dashboards, monitoring with Prometheus or Grafana Mimir, and supporting tracing, logging, and OpenTelemetry instrumentation. The role also helps diagnose performance issues and improve real-time monitoring, with opportunities to work with Kubernetes, Docker, GitOps, and AI observability tools.

Develop and maintain frontend and backend software features, write clean and testable code, participate in agile ceremonies and sprint planning, and collaborate with QA, Product, and Design teams. The role involves applying software engineering best practices, including code reviews, version control, testing, and CI/CD, while working with experienced engineers to build scalable and reliable products.

Supports platform engineering, infrastructure automation, CI/CD, and cloud-native observability initiatives. Maintains Terraform infrastructure, assists with Azure DevOps pipelines, and configures Grafana dashboards, Prometheus or Mimir metrics, Tempo tracing, Loki logging, and OpenTelemetry instrumentation. Helps troubleshoot performance issues using telemetry and distributed tracing. Requires 1–2 years of DevOps, SRE, or cloud engineering experience, Linux and scripting knowledge, and a bachelor's degree or equivalent.

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.

Build and operate reliable, resilient, and observable software using Site Reliability Engineering and DevOps practices. Develop automation to reduce toil, monitor system health, identify risks, improve service availability, and collaborate with product and engineering teams. Coach junior engineers, contribute to observability initiatives, and promote continuous improvement across technology teams. The role requires cloud, microservices, Linux, scripting, and modern observability experience.

Develop scalable full-stack enterprise applications using Java and modern frontend frameworks. Build, integrate, test, debug, and document software with AI-assisted development tools. Integrate AI services, APIs, and relevant RAG features while following engineering, SDLC, agile, quality, and cloud-native practices. Collaborate with architects and AI specialists to deliver secure, high-performing solutions.

Develop and enhance scalable full-stack enterprise applications using Java and modern frameworks. Build frontend and backend 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 practices. Collaborate with architects and AI specialists to deliver high-quality solutions.