Top Artificial Intelligence Jobs in Bangalore

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 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.

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.

Designs and develops end-to-end robotic process automation solutions using Microsoft Power Automate and other RPA tools. Responsibilities include analyzing complex automation problems, designing solution architectures and process flows, writing scripts and code, integrating OCR, NLP, ML, AI, and APIs, and creating technical documentation. The role collaborates with sales, offering, delivery, peers, clients, and management, may oversee a small work effort, and may require rotational shifts.

Designs and develops end-to-end robotic process automation solutions using Microsoft Power Automate and other RPA tools. Responsibilities include analyzing business processes, designing automation architectures and workflows, writing scripts and code, integrating OCR, NLP, machine learning, AI, and APIs, and creating technical documentation. The role collaborates with sales, offering, delivery, peers, clients, and management, may oversee a small team or work effort, and may require rotational shifts.

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.

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 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.

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.

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.