Top Artificial Intelligence Jobs in Bangalore

Leads validation strategy and automated testing for NAND-based SSD firmware across functional, performance, reliability, interoperability, and customer qualification domains. Develops test plans, frameworks, and continuous validation solutions; debugs NVMe and PCIe issues; analyzes quality risks; and drives cross-functional issue resolution. Partners with hyperscale customers, leads complex programs, mentors engineers, and applies AI, machine learning, and generative AI to improve test coverage, failure analysis, reporting, and validation productivity.

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.

Designs, develops, maintains, and improves scalable software applications and systems. Leads AI adoption across software deployment automation, collaborates with product and engineering teams, troubleshoots complex issues, participates in code reviews, and documents applications and deployment processes. Creates training, demonstrations, workshops, playbooks, reusable patterns, and use cases to help engineering teams and business stakeholders adopt AI solutions.

Leads software engineering initiatives, designing, coding, testing, debugging, documenting, and deploying solutions. Reviews technical challenges, analyzes modules, resolves issues, guides junior staff, and collaborates with technical leaders, peers, stakeholders, and vendors. The role focuses on Java and microservices development, cloud migration, databases, Kafka, API automation, Agile practices, and emerging generative AI technologies while adhering to engineering, risk, compliance, and security standards.

Software quality and automation intern supporting product validation, automated test suites, CI/CD, defect analysis, troubleshooting, and software release quality. The role involves learning Agile engineering practices, collaborating with developers and quality teams, and exploring AI and LLM testing techniques within renewable energy and battery storage products.

Leads an agile software engineering team building LLM-driven agent services and AI-assisted development capabilities on AWS. Designs multi-agent orchestration, communication layers, RAG solutions, SDKs, data pipelines, integrations, and cloud-native deployments. Drives responsible AI governance, secure engineering practices, automation, observability, and measurable validation standards. Provides technical leadership, mentorship, and independent problem-solving across product design, application functionality, and technical operations.

Leads technology strategy, architecture, roadmaps, and delivery for private wealth management sales enablement and client servicing platforms across Asia and Australia. Oversees multiple engineering squads, platform stability, modernization, automation, AI enablement, security, resiliency, compliance, and operational risk. Partners with business, operations, risk, and control stakeholders while developing engineering leaders and teams.

Leads a 50-person, multi-level manufacturing engineering organization supporting multiple business units and product lines. Owns OMS/iOMS delivery, manufacturing documentation readiness, NPI and high-volume manufacturing execution, operational performance, quality, productivity, and factory readiness. Establishes operating mechanisms, scorecards, risk reviews, and executive escalations while driving digital transformation through automation, AI, and model-based manufacturing. Partners with engineering, manufacturing, quality, supply chain, operations, suppliers, and global stakeholders.

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.

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.

Leads reliability, scalability, observability, and automation for AI-powered applications and infrastructure. Designs intelligent alerting, anomaly detection, event correlation, and self-healing workflows using AWS and modern SRE practices. Establishes AI-assisted engineering standards, validates AI outputs for security and performance, mentors engineers, and drives operational excellence. Defines the roadmap for AI-assisted SRE and observability while collaborating with engineering and business stakeholders.

Design, develop, and deliver wireless and IoT software features for Cisco access points across embedded, controller, and cloud-integrated systems. Own features from requirements through field support, debug production software across embedded Linux, firmware, networking, protocol, and container layers, and make architectural decisions. Improve quality through testing, CI/CD, threat modeling, root-cause analysis, and AI-assisted development. Collaborate across engineering and customer-facing teams while mentoring junior engineers.

Entry/mid-level QA Engineer who designs, maintains, and executes automated and manual tests, refines automation frameworks, performs performance testing, integrates tests into CI/CD pipelines, validates data persistence (SQL/NoSQL), identifies and tracks defects, and collaborates with cross-functional teams in an agile environment to align QA work with product strategy.

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.

Lead Gas Power should-cost and cost-out initiatives by estimating sourced-part costs, developing cost models, identifying value-engineering opportunities, and supporting supplier negotiations. Partner with sourcing, supply chain, manufacturing, engineering, digital, and P2V teams to deliver cost reductions. Lead project execution, manage timelines and risks, develop traditional and AI-enabled methodologies, mentor team members, and improve costing processes.

Develops and troubleshoots secure, scalable software using Java, ReactJS, and AWS within an agile team. Responsibilities include full software development lifecycle participation, AI-assisted coding, automated testing, system integration, technical troubleshooting, data analysis, and adherence to security, resiliency, and responsible AI practices.

Develops secure, scalable Java full-stack applications using Spring Boot, ReactJS, and AWS. Uses authorized AI coding tools and prompt engineering to improve development, testing, documentation, and productivity while validating outputs for security and quality. Contributes to architecture, analyzes data for application improvements, troubleshoots software components, and participates in agile engineering practices, CI/CD, resiliency, security, and technical communities.

Lead architecture and development of cloud‑native .NET microservices and high‑performance Web APIs. Drive AI adoption—design LLMs, agentic workflows, vector search/RAG, and AI‑augmented SDLC. Mentor senior engineers, own high‑impact technical decisions, optimise performance, and ensure secure, scalable delivery across the full SDLC in Finance/KYC domains.

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

Build intuitive, responsive frontend experiences for AI-driven observability: implement dashboards, real-time streaming views, design-system components, AI UX patterns, state management, API integration, testing, performance, and instrumentation while collaborating across product, design, backend, and SRE teams.

Own moderately complex customer engagements from configuration and integration through deployment and incident response. Build AI-enabled solutions, automation, reusable integration patterns, documentation, and operational runbooks. Troubleshoot customer issues, assess technical risks, coordinate with internal teams, and mentor newer Customer Engineers. The role requires autonomy, strong customer communication, enterprise platform expertise, and hands-on experience with APIs, integrations, and deployments.

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

Owns end-to-end technical architecture for complex Guidewire ClaimCenter implementations, modernization programs, and cloud transformations. Leads ClaimCenter configuration, Gosu customization, integrations, architecture reviews, engineering governance, and cross-functional teams. Translates business requirements into scalable, secure, resilient solutions while advancing cloud adoption, AI-enabled delivery, automation, reusable architectures, and technical standards. Partners with customers and global teams across enterprise ecosystems.