Top Artificial Intelligence Jobs in Bangalore

Designs, develops, tests, and maintains secure, scalable software across the SDLC. Produces architecture artifacts, debugs complex systems, leverages AI-assisted development tools, analyzes large data sets to improve code and architecture, and contributes to engineering communities while promoting secure and resilient application practices.

Lead architecture for software products across cloud-native domains (AWS), drive technical governance, evaluate and adopt emerging technologies (AI/ML/LLM), produce and review secure production code, guide integration and service design, mentor teams, and influence product and operational decisions.

Lead architect/engineer to design and build AIOps agents for monitoring, alerting, and automated incident resolution. Integrate systems (Remedy, GCP logging, Airflow, APIs), implement governance and guardrails, tune alerts and anomaly detection, partner with Ops/Engineering, and drive roadmap from human-in-the-loop to autonomous operations.

Develop and run FEA simulations using commercial CAE tools to evaluate structural performance (static, dynamic, thermal, fatigue, seismic). Build models, validate with hand calculations and test correlation, support V&V, root-cause analysis, and document findings to drive design improvements and adhere to industry standards.

Perform CFD and thermal simulations for electronics cooling across component to sub-system levels, analyze airflow and thermal risks, support steady-state and transient studies, correlate simulations with test data, document results, support V&V and certification requirements, and collaborate on design optimizations and automation/scripting efforts.

Develop and run CFD simulations for refrigerant leaks, gas dispersion, ventilation, and fire/combustion scenarios (transient and steady). Model multiphase flows, species transport, ignition and flame propagation, analyze hazard scenarios, apply boundary conditions, support V&V against test data, produce technical reports, and collaborate with cross-functional teams on safety, compliance, and product design.

Perform CFD-based fire and explosion simulations (FLACS, FDS) for ESS/BESS scenarios, analyze thermal, overpressure, and gas dispersion outputs, support performance-based safety design and V&V, prepare technical reports, and collaborate with multidisciplinary teams while developing expertise under senior guidance.

Design, build, and operate platforms and backend systems at Rubrik. Own Kubernetes, develop distributed services, and collaborate with engineering teams.

Lead post-silicon validation for AI SoCs, develop strategies for reliability, debug complex issues, and foster team collaboration and automation.

Lead design and development of scalable AI-enabled applications. Own end-to-end AI/ML solution lifecycle, architect backend services (Python/FastAPI, Java/Spring), build React front-ends, deploy cloud-native solutions (Azure/GCP), implement DevOps/CI-CD, optimize real-time performance, support production, and collaborate with stakeholders on technical designs and testing.

Design, develop, test, deploy, and maintain RPA solutions using Automation Anywhere. Gather requirements, document processes, create scalable bots, perform QA, troubleshoot issues, and train end-users while collaborating with stakeholders.

The CAE Analyst is responsible for conducting structural and thermal analysis, fatigue life calculations, and solving complex FEA problems to support appliance product development at GE Appliances.

Lead the design of AI-driven storage solutions, collaborate with stakeholders, mentor teams, and drive technological innovation while ensuring integration with enterprise systems.

Designs and develops software for cloud systems, leads project teams, reviews compliance and quality, drives innovation in technology integration and supports team mentorship.

Design, develop, and maintain high-performance backend services and RESTful APIs using Java and Python. Define API contracts, implement secure authentication (OAuth2/JWT), ensure observability and testing, troubleshoot production, and contribute to CI/CD and microservices-based platform architecture.

Design and own RTL development for an AI-enabled RISC-V CPU core, including microarchitecture, vector/matrix engines, performance/power/area optimization, and verification support. Collaborate with cross-functional teams for timing, reliability, testability, and SoC integration.

Lead transformation from manual QA to AI-enabled, automation-first quality engineering. Design AI-driven test frameworks, establish automation standards, integrate CI/CD, mentor teams, drive organizational change, and establish metrics and governance to raise engineering quality across product teams.

Lead pre-sales and delivery of large cloud modernization and digital transformation engagements. Define solution and application architecture, drive Azure infrastructure designs, ensure technical success, mentor teams, engage CxO stakeholders, and convert services opportunities into projects while ensuring customer value and operational excellence.

Design, build, and maintain workflow automations and AI agents using orchestration platforms (n8n, Azure Logic Apps, etc.), integrate enterprise systems via APIs, implement data transformations, monitor and troubleshoot workflows, and document solutions while collaborating with stakeholders to improve efficiency.

The role involves designing and building scalable backend systems in Java, using AI-assisted development, microservices architecture, and cloud technologies for a media technology platform.

As a Lead Engineer, you will design scalable architectures, lead development efforts, integrate AI features, ensure product reliability, and promote security and observability practices.

The Software Technologist role involves software development, coding, design, and proficiency in various technologies including Python and AWS. Candidates should have 5-8 years of experience and a passion for automation and collaboration.

The Staff Software Engineer will design and develop scalable cloud solutions, mentor teams, and enhance integration capabilities, focusing on AWS and various programming languages.

Design and develop AI platform services, collaborate on architecture and roadmaps, mentor engineers, and support enterprise AI use cases.

The Developer Relations AI role involves engaging and educating the developer community, creating technical content, and bridging communication between developers and product teams, while promoting technology adoption and community growth.