Top Artificial Intelligence Jobs in Bangalore

Design, develop, test, and maintain full-stack software using Java, Spring Boot, REST APIs, React, and JavaScript. Build scalable applications with cloud platforms, GitHub, Jenkins CI/CD, and Docker. Collaborate cross-functionally to deliver software projects, apply ATDD testing, and support continuous improvement. Develop AI-powered solutions using no-code, low-code, and advanced platforms, including proofs of concept involving AI and machine learning.

Define enterprise ServiceNow platform vision, architecture standards, governance frameworks, integration and data-model strategies. Advise executives, architects, delivery teams, partners, and product groups on scalable platform decisions. Facilitate governance forums, mitigate performance and technical-debt risks, promote leading practices, and guide multiple teams toward a unified enterprise architecture. Travel of up to 50% annually may be required.

Define enterprise ServiceNow platform strategy, architecture standards, and governance models. Guide instance strategy, integrations, data models, scalability, performance, and technical-debt mitigation. Facilitate governance forums, influence executives and delivery teams, and align partners around a unified platform vision. Provide architectural guidance, promote leading practices, advise on risks, and deliver structured feedback to ServiceNow product and engineering teams. Travel of up to 50% annually may be required.

Designs and develops scalable web-based automation platforms for manufacturing partners and business operations. Responsibilities include architecture, system integration documentation, troubleshooting, root-cause analysis, testing, production support, and delivery of enterprise software solutions. The role requires Python and broad backend, frontend, database, cloud, API, AI, and machine learning expertise, along with experience integrating AI capabilities into applications and workflows.

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.

Develop secure, scalable Java applications and services supporting credit risk workflows. Build React front-end features, optimize SQL queries, design resilient event-driven systems with Spring Boot and Kafka, and apply enterprise-authorized AI coding tools responsibly. Collaborate with product, architecture, and business teams; produce architecture artifacts; troubleshoot complex systems; participate in code reviews; and improve software quality, automation, security, and operational reliability.

Leads backend software engineering across teams and departments, delivering complex technical solutions and governing AI-enabled engineering and SDLC automation. Sets technology direction, ensures security, resiliency, quality, and responsible AI controls, manages resources and budgets, and influences senior stakeholders. Builds cross-functional teams, develops talent, drives cloud-native engineering practices, and delivers reusable solutions in a financial services environment.

Define enterprise ServiceNow platform vision, architecture standards, governance models, integration and data strategies. Guide executive stakeholders, architects, delivery teams, partners, and product teams toward scalable, consistent platform decisions. Facilitate governance forums, mitigate scalability and technical debt risks, promote leading practices, and provide strategic feedback to engineering teams. Travel of up to 50% annually may be expected.

Lead functional safety system architecture for automotive Advanced Safety, UX, and BCM projects. Develop technical safety concepts, requirements, safety analyses, reusable hardware and software safety mechanisms, and supplier assessments. Support SOTIF, STPA, Safe AI/ML, design reviews, gate reviews, customer handoffs, templates, training, and escalations. The role requires extensive ISO 26262, system design, modeling, and automotive product development experience, with up to 5% travel.

Designs, builds, and operates backend platforms, Kubernetes infrastructure, distributed services, and cloud-native systems at scale. The role owns platform initiatives from architecture through deployment, improves CI/CD and engineering quality, collaborates with product, AI, and security teams, and mentors engineers. Responsibilities also include integrating applied AI tooling, developing infrastructure-as-code, and driving reliability, performance, observability, and engineering productivity.

Leads mainframe modernization and migration initiatives for large global clients. Develops transformation and re-platforming solutions, conducts discovery workshops, presents technical and business cases, advises executives, and partners with sales, consulting, operations, and product teams. Requires extensive mainframe expertise across legacy technologies, migration architecture, data modernization, cloud and hybrid environments, and enterprise hosting. The role also supports AI-driven modernization, technical documentation, project lifecycle management, and client relationship development.

Leads aerothermal combustion design for F and HA class gas turbine engines, owning NPI and fleet projects, schedules, quality, risk mitigation, root-cause analysis, and system optimization. Develops component technology roadmaps, validates new ideas, improves analytical tools and processes, leverages fleet data and AI, and collaborates with cross-functional engineering teams.

Develop and deploy advanced numerical simulations for aircraft structural design, certification, and in-service support. Perform linear and nonlinear finite element analysis, assess static and dynamic strength, identify design issues, support certification testing, investigate root causes, and optimize manufacturing processes. The role also develops credible simulation methods, automates simulation workflows, and explores AI and machine learning to improve simulation capabilities.

Lead software architecture for enterprise applications and platforms, defining scalable systems, design standards, modernization strategies, and cloud-native solutions. Evaluate emerging technologies, guide microservices and cloud migration, mentor engineering teams, and ensure security, compliance, performance, testing, and deployment best practices. Partner with product owners and stakeholders to align technical direction with business objectives while driving innovation through prototypes and proof-of-concepts.

Lead end-to-end architecture for complex Guidewire InsuranceSuite implementations across PolicyCenter, BillingCenter, and ClaimCenter. Define scalable, secure, cloud-ready integration designs; govern technical decisions, data models, performance, and production quality; mentor consultants and engineers; and guide customer and partner delivery teams. Apply automation and AI-enabled accelerators to improve implementation efficiency, reliability, and time-to-value while developing reusable architecture patterns and assets.

Leads a globally distributed engineering team responsible for GitLab’s Continuous Deployment capabilities. The role includes hiring, coaching, technical direction, architecture, roadmap collaboration, delivery reliability, incident participation, and establishing team processes. The manager guides development of distributed, durable workflow and deployment systems using Kubernetes, GitOps, progressive delivery, policy governance, and event-driven architectures in a remote-first environment.

Leads architecture, design, and implementation of large-scale software solutions supporting airline retailing and fulfillment platforms. Drives technical direction across teams, ensuring scalability, reliability, security, and operational excellence. Partners with product and business leaders to translate requirements into sustainable technology solutions, champions automation, observability, and AI-enabled engineering practices, and mentors senior engineers while advancing technical standards and organizational capability.

Lead a team of 15–20 software engineers developing enterprise solutions. Own architecture, technical strategy, roadmaps, Agile delivery, risk management, engineering quality, and AI technology adoption. Hire, mentor, and develop engineers while collaborating with product, architecture, and cross-functional stakeholders. Provide hands-on guidance in system design and implementation, communicate technical concepts clearly, and drive continuous improvement in productivity, quality, and innovation.

Design and implement scalable software architectures for semiconductor equipment solutions. Develop prototypes, lead complex software components, conduct technical reviews, mentor engineers, evaluate technologies, mitigate technical risks, and contribute to high-level and low-level design. The role requires expertise in Java, Spring Boot, microservices, workflow frameworks, reactive programming, algorithms, and large-scale systems.

Leads software engineering teams building Python and generative AI automation, governing application risk and compliance, and operating resilient production services. Responsibilities include Kubernetes and cloud architecture, data pipelines, observability, CI/CD, SRE practices, incident management, security, AI-assisted engineering adoption, and cross-team execution. The role also establishes service-level objectives, error budgets, and reliability improvements while coaching engineers and documenting organizational knowledge.

Drives end-to-end quality engineering for enterprise storage platforms, including hardware-software integration, automation, system validation, debugging, and root-cause analysis. Develops scalable Python-based test frameworks and productivity tools while applying AI/ML to failure analysis, test optimization, anomaly detection, and workflow automation. Requires collaboration across engineering teams, customer issue resolution, troubleshooting of Linux and distributed systems, and mentoring.

Leads end-to-end technical execution for compressor airfoil component engineering across new product introduction, cost management, fleet support, repair, root cause analysis, and corrective actions. Guides mechanical design engineers, evaluates structural integrity and lifing, leads technical reviews, and coordinates with aerodynamics, manufacturing, repair, service, and systems teams. Ensures safety, quality, reliability, manufacturability, cost, and schedule objectives while driving continuous improvement and adoption of digital engineering tools.

Perform end-to-end system verification of Ericsson 5G RAN solutions, including capacity, performance, scalability, mobility, and high-load traffic testing. Analyze logs, traces, KPIs, and protocol-layer behavior; troubleshoot PHY/MAC/RLC/PDCP/IP issues and identify root causes. Support feature integration, test automation, verification frameworks, and CI/CD improvements. Collaborate with development, integration, CI, and product teams while applying modern and AI-assisted verification methods.

Develop and maintain automated quality testing for enterprise data products, pipelines, transformations, APIs, and platform capabilities. Validate data correctness, completeness, freshness, consistency, and lineage; build reconciliation and monitoring frameworks; design regression suites; and investigate production data-quality issues. The role also evaluates AI-powered analytics capabilities by validating user intents, creating evaluation datasets, measuring response accuracy, and identifying hallucinations and edge cases.

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.