Top Artificial Intelligence Jobs in Bangalore

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.

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.

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.

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.

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.

Develop scalable enterprise applications and REST APIs using Python or .NET/C#, integrate Azure and Microsoft Fabric services, build SQL-based data and ETL/ELT solutions, and support Lakehouse, OneLake, and Data Warehouse architectures. Integrate LLMs and RAG capabilities into enterprise applications, troubleshoot application and data-pipeline issues, and collaborate with product, data, AI, and business teams. Backend and integration development are the primary focus, with working knowledge of modern front-end frameworks expected.

Designs, operates, and improves scalable cloud infrastructure across GCP and AWS. Builds Terraform-based infrastructure, GitHub Actions CI/CD pipelines, observability, automation, and AI-enabled monitoring and remediation. Manages MySQL and SQL Server databases, Cloudflare services, security controls, repository governance, and incident response. Supports reliability, performance, cost optimization, compliance, and cloud modernization while providing 24/7 on-call coverage and mentoring junior engineers.

Designs and develops software for cloud systems, leads project teams, reviews compliance and quality, drives innovation in technology integration and supports team mentorship.

Design, develop, deploy, and maintain enterprise-grade Microsoft 365 solutions—focusing on Copilot Studio, SharePoint Online, Teams, and Power Platform—providing architecture, integrations, security/compliance, performance optimization, stakeholder collaboration, and technical leadership in an agile environment.

Drive AI-driven automation and improvements for the NonStop System Performance test suite. Execute benchmarking, full-stack profiling, root-cause analyses, and performance tuning using profiling and networking tools. Prototype and deliver Python-based automation, create AI artifacts and personas, implement CI/CD workflow automations, track impact metrics, and enable team adoption through demos and training.

Lead end-to-end full-stack development across Salesforce, MuleSoft, frontend, backend, APIs, data models, and integrations. Build maintainable features using LWC, Apex, SOQL, REST, event-driven architecture, CI/CD, automated testing, and AI-assisted coding tools. Develop agentic AI automations, support production systems, improve revenue processes, and elevate engineering practices through architecture, code reviews, debugging, and Agile collaboration.

The role involves designing and building scalable backend systems in Java, using AI-assisted development, microservices architecture, and cloud technologies for a media technology platform.

As a Lead Engineer, you will design scalable architectures, lead development efforts, integrate AI features, ensure product reliability, and promote security and observability practices.

Design and own RTL development for an AI-enabled RISC-V CPU core, including microarchitecture, vector/matrix engines, performance/power/area optimization, and verification support. Collaborate with cross-functional teams for timing, reliability, testability, and SoC integration.

Develops and governs regional solution architecture frameworks, standards, documentation, workflows, and design decisions across APAC. Reviews infrastructure and product ecosystems, incorporates security and industry standards, and ensures solutions meet business, cost, compliance, and technical requirements. Leads architects and solution delivery while collaborating with senior technical and nontechnical stakeholders through workshops, training, and governance. Requires extensive cloud architecture experience across Azure, AWS, or GCP, with GenAI, LLM, and marketing technology knowledge beneficial.

Develops regional solution architecture frameworks and standards across APAC. Leads architecture documentation, workflows, diagrams, governance, design decisions, and compliance with global security standards. Oversees architects and solution delivery for internal and external clients, collaborates with senior technical and nontechnical stakeholders, conducts workshops and training, and evaluates cloud, infrastructure, AI, marketing technology, and platform options based on business, cost, time, and compliance requirements.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

The Director of Software Engineering will lead teams in developing highly available distributed systems, focusing on payment processing, AI solutions, and innovative capabilities, while ensuring product quality and team engagement.

Leads customer-facing design and implementation of cloud, platform, infrastructure, data, and AI solutions. Responsibilities include cloud migration and modernization, Infrastructure as Code, CI/CD, Kubernetes, automation, GitOps, platform security, observability, and AI-assisted development. The consultant conducts workshops, creates reusable platform capabilities, enables responsible AI adoption, mentors engineers, supports proposals and pre-sales, and ensures secure, reliable, governed, and cost-effective production solutions.

Lead full lifecycle development of L2/L3 embedded RAN protocol stacks: design, coding, unit testing, debugging, and integration. Implement and enhance MAC/RLC features, analyze logs, debug in Linux, and support product releases. Apply AI/ML concepts for RAN optimization and develop/maintain solutions used by global customers.