Top Artificial Intelligence Jobs in Bangalore

Leads enterprise SRE and AIOps initiatives across large-scale applications. Designs, codes, tests, documents, and automates resilient cloud-native systems; establishes observability, monitoring, SLO/SLI, and incident-management practices. Develops self-healing capabilities using AI/ML, improves availability and recovery time, supports critical incidents, conducts postmortems and root-cause analysis, and mentors engineers. Partners with application teams to advance SRE adoption, tooling, automation, and reliability across a multi-cloud environment.

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.

Build and validate automation, testing, and AI-enabled solutions for regulated operations. Develop Python, Alteryx, and Power Automate solutions; maintain automated test frameworks; execute user acceptance testing; establish controls, documentation, monitoring, and auditability; prioritize initiatives; define delivery plans; track risks and defects; and collaborate with Product, Technology, Legal, Regulatory, and Compliance teams to improve efficiency and quality.

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.

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.

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.

Leads a senior software engineering team building and operating enterprise-scale infrastructure services using AI and agentic workflows. Owns architecture, production systems, reliability, security, observability, cost optimization, and incident response. Sets engineering standards and governance for AI-enabled software development, establishes validation and security guardrails, writes and reviews production code, mentors engineers, and partners with infrastructure stakeholders to deliver measurable operational outcomes.

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.

Leads complex process engineering and redesign initiatives, identifying risks, control deficiencies, and improvement opportunities. Evaluates and implements AI-enabled transformation using generative AI, intelligent automation, workflow orchestration, and human-in-the-loop controls. Develops future-state processes, business cases, governance frameworks, risk mitigation strategies, and implementation roadmaps. Partners with Operations, Technology, Risk, Compliance, Data Management, and Product teams to deliver scalable, compliant solutions.

Provides enterprise technical leadership for modernizing GRC, Testing & Monitoring, and Audit platforms. Defines target-state architecture, reusable services, shared data capabilities, Java microservices, React applications, and AI-enabled platforms. Leads adoption of Generative AI, Agentic AI, RAG, Knowledge Graphs, and intelligent automation while ensuring scalability, security, resiliency, auditability, and regulatory compliance. Remains hands-on through architecture reviews, prototyping, code reviews, complex problem resolution, mentoring, and stakeholder engagement.

Provides enterprise technical leadership across data engineering, distributed systems, cloud-native software, and generative AI. Owns architecture strategy, modernization, governance, scalability, security, reliability, and operational standards for data and application platforms. Designs streaming, lakehouse, microservices, RAG, and agentic AI solutions using technologies such as Spark, Kafka, Java, Kubernetes, Azure, and GCP. Influences executives, leads architecture reviews, drives legacy-to-cloud transformation, and partners with engineering, data science, security, product, and business teams.

Manages and develops software engineering teams while guiding architecture, application modernization, cloud readiness, security, scalability, and production stability. Leads technical strategy, code reviews, agile and DevOps practices, risk mitigation, vendor collaboration, resource allocation, hiring, and talent development. Partners with product, architecture, business, and risk stakeholders to deliver innovative solutions, including AI-assisted engineering initiatives and generative AI capabilities.

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 data engineering teams building scalable advertising and marketing technology platforms. Responsibilities include architecting backend and data solutions, developing analytics pipelines, applying AI, ensuring engineering excellence, mentoring developers, setting coding standards, troubleshooting distributed systems, collaborating with product and data science teams, and delivering production solutions at scale.

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.

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.

Design, prototype, develop, and debug moderately complex software for semiconductor equipment components and devices. Build reusable software modules and libraries, create documentation and test procedures, troubleshoot issues, implement fixes, and communicate with customers regarding requirements, schedules, and software support.

Designs, develops, tests, deploys, and monitors RPA automations for fund services using UiPath and related tools. The role gathers business requirements, proposes automation solutions, designs attended and unattended bots, manages stakeholders and priorities, tracks risks and benefits, and supports the full RPA lifecycle. It also requires documenting processes, following coding and RPA standards, reporting robot effectiveness, and contributing as a business analyst, developer, tester, and project manager.

Leads enterprise QA delivery, test strategy, automation architecture, quality governance, and AI-assisted engineering practices. Oversees functional, API, UI, integration, performance, and data validation testing; governs metrics, defects, environments, and release readiness. Mentors QA teams, establishes automation and CI/CD standards, coordinates stakeholders, and ensures secure, traceable, auditable use of AI-assisted testing and software development tools.

Leads enterprise architecture strategy, target-state architecture, roadmaps, and high-risk solution design reviews. Partners with senior business and technology stakeholders to shape architectural direction, investment cases, governance, innovation, and reuse. Ensures designs align with business needs, standards, security, and sustainability goals. Promotes DevOps and embeds architecture guidance into CI/CD pipelines while mentoring architects and building an architecture community of practice.

Design, develop, test, deploy, and maintain full-stack software applications supporting Intel Foundry’s semiconductor manufacturing operations. Translate business requirements into technical specifications, build RESTful APIs and CI/CD pipelines, troubleshoot production issues, apply secure coding practices, and integrate systems across global teams. The role also involves ETL and data pipeline development, user acceptance testing, and collaboration with stakeholders to deliver reliable, scalable manufacturing software.

Develop and support SAP ABAP solutions using ABAP 7.4+ and S/4HANA OData. Serve as a subject matter expert, contribute to implementations and emerging-technology proofs of concept, mentor junior team members, and review deliverables. Manage tickets, incidents, changes, problems, SLAs, risks, escalations, and project status reporting while collaborating directly with clients and cross-functional teams.

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.

Execute manual and automated testing for AI, voice assistant, and automotive applications. Analyze system performance, identify and report defects, validate features with development teams, improve testing coverage, and communicate quality metrics in Hindi and English. The role is open to 2026 B.Tech graduates, fresh graduates, and candidates with up to two years of testing experience.