Top Artificial Intelligence Jobs in Bangalore

Develop and extend ServiceNow AI Control Tower for enterprise AI governance and lifecycle management. Build AI agents, skills, workflows, integrations, and secure access controls while managing CMDB/CSDM data. Configure plugins, scopes, dependencies, and governance policies; support AI Agent Fabric protocols and third-party AI platforms. Collaborate with governance, risk, compliance, and platform teams, and maintain scripts, workflows, version control, rollback, and quality assurance processes.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Recruit talent for Coupang’s expanding business by engaging candidates, gathering market intelligence, communicating insights, influencing stakeholders, and improving recruiting practices. Use data-driven recruiting to understand hiring targets and fulfill staffing needs. Partner creatively with other teams and achieve challenging goals through disciplined goal-setting and personal drive.

The Senior Software Engineer will design, develop, and maintain software systems in supply chain operations, lead technical direction, and enhance engineering capabilities.

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.

Designs and maintains scalable QA automation frameworks and test suites for identity governance and AI-agent capabilities. Develops AI-driven testing for APIs, workflows, integrations, cloud systems, and end-to-end scenarios. Analyzes failures, automates defect detection, validates performance, security, reliability, observability, and compliance, and collaborates cross-functionally to improve release quality and test coverage.

Design and develop scalable Kubernetes platforms supporting microservices, AI/ML, LLM, and GPU workloads. Build backend services and infrastructure automation using Go or Python, implement IaC and CI/CD, improve observability and reliability, and support production ML workflows. Participate in on-call operations, incident response, code reviews, technical decision-making, and mentoring. Collaborate with SREs, data scientists, and engineering teams to optimize distributed systems and AI platforms.

Build and operate scalable Databricks data platform capabilities across Azure and GCP. Responsibilities include workspace lifecycle management, infrastructure automation, governance, data services, CI/CD, Infrastructure-as-Code, observability, testing, troubleshooting, and platform reliability. The role partners with AI/ML and engineering teams, develops Python backend services and tooling, manages distributed data systems, and uses AI-assisted development workflows to accelerate secure, maintainable software delivery.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Lead ServiceNow-focused enterprise architecture and governance, design scalable ServiceNow and AI-enabled automation solutions, drive architecture reviews and standards, identify process improvements and automation opportunities, collaborate with global teams, and advise on AI augmentation for architecture governance and intake workflows.

Lead end-to-end delivery of Power Platform and AI-enabled automations using Power Apps, Power Automate, Copilot Studio and PowerShell; support production workloads, perform root cause analysis, maintain runbooks and build Power BI dashboards for platform health and governance.

Designs, builds, and supports Power Platform and AI-enabled automations using Power Apps, Power Automate, Copilot Studio, PowerShell and M365. Implements Copilot agents, performs root-cause analysis, supports production incidents, creates runbooks, and builds Power BI governance and health dashboards.

Develop and maintain Python applications, APIs, workers, integrations, and AWS Lambda functions. Manage AWS and Linux environments, infrastructure automation, deployments, CI/CD pipelines, and production support. Improve reliability through monitoring, canary releases, rollback, and recovery practices. Maintain databases, messaging, authentication, security, dependencies, and external integrations. Apply AI-assisted development tools with human review and security validation. The role requires ownership of software delivery from application code through production.

Lead development of observability and data infrastructure for Databricks, building scalable pipelines, integrating with ecosystem tools, optimizing performance and cost, mentoring engineers, and driving cross-functional product milestones from requirements through operation and iteration.

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

The ServiceNow Solution Architect - AI role involves leading and mentoring a team, designing and deploying AI-driven applications, managing application development, and integrating solutions into ServiceNow modules. Responsibilities include coordinating with stakeholders, troubleshooting, and ensuring adherence to technical standards.

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.

Lead and contribute to testing next-generation firewall and network security technologies. Responsibilities include designing and optimizing NGFW and cloud-native security services, troubleshooting network faults through packet analysis and root-cause investigation, developing AI-driven test automation with Python and REST APIs, validating firewall functionality, and collaborating with engineering teams on defects and product improvements.

Conduct and optimize scientific application benchmarks on HPE supercomputers for sales, development, and marketing initiatives. Analyze performance bottlenecks across compute, memory, accelerators, interconnects, MPI, and I/O systems; apply performance estimation and optimization techniques; and provide technical guidance to cross-functional teams and customers. The role requires HPC architecture expertise, programming and scripting skills, Linux proficiency, and experience with parallel programming, GPU technologies, profiling tools, and large-scale HPC systems.

Lead the design, development, and maintenance of scalable cybersecurity software. Mentor development teams, guide architecture and technical decisions, review code, resolve defects, collaborate with product and security stakeholders, and ensure secure, reliable, high-quality delivery. The role requires advanced Java and microservices expertise, cloud and containerization experience, Agile and DevOps knowledge, CI/CD proficiency, and familiarity with agentic AI integrations.

Develop production-grade software using AI as a primary engineering partner. Convert requirements into prompts, implementation plans, and acceptance criteria; generate and validate AI-assisted solutions; identify hallucinations, security issues, logic gaps, and incorrect assumptions; create automated tests; and ensure architecture, performance, maintainability, documentation, and production readiness. Build reusable AI development workflows, collaborate across technical teams, document decisions, and help engineers adopt AI-native practices.

Build and maintain enterprise Workato integrations, custom connectors, APIs, recipes, and automation workflows across Salesforce and other SaaS applications. Develop Python services, integration architectures, event-driven workflows, and AI/GenAI solutions using LLMs, agentic workflows, MCP, RAG, vector databases, and embeddings. Troubleshoot integration issues and implement secure, scalable error handling, monitoring, logging, and observability.

Own the CRM Opportunities backend end to end, designing scalable data models, APIs, distributed workflows, event-driven services, and background jobs. Improve performance and reliability across large multi-tenant pipelines while handling consistency, caching, sharding, observability, and incident response. Build AI-assisted CRM features using existing LLM APIs, including context assembly, response handling, cost and latency controls, and graceful degradation. Occasionally ship Vue.js UI changes and operate services through deployment and on-call.