Top Artificial Intelligence Jobs in Gurgaon

Leads SAP testing strategy, architecture, standards, automation, and quality processes across enterprise applications. Manages teams of 12–15 specialists, coordinates internal and external stakeholders, oversees testing across multiple projects, develops scalable solutions and roadmaps, establishes KPIs and configuration standards, and drives organizational change. The role requires extensive SAP business-process knowledge, strong program and people management, technical leadership, and collaboration across global onshore-offshore teams.

SLB seeks graduate-level digital technology professionals for roles spanning artificial intelligence, software engineering, data engineering and science, machine learning, IIoT, high-performance computing, QA, software security, and UX design. Employees collaborate across disciplines in global technology centers, leveraging cloud computing, advanced data ecosystems, connectivity, and emerging technologies to develop solutions for the energy industry. The program includes training and professional development.

Build and maintain production-ready automation solutions for global accounting teams using Python, n8n, UiPath, SQL, APIs, and AI agents. Develop data pipelines, system integrations, exception handling, testing, logging, access controls, and audit trails. Partner directly with accounting stakeholders to translate manual processes into deployed solutions, while maintaining and improving automations over time.

Build and maintain production-ready automation and AI-enabled solutions for global accounting teams. Develop Python and SQL pipelines, RPA workflows, LLM-powered features, REST API integrations, and enterprise system automations. Own solutions from discovery through deployment, including testing, access management, error handling, logging, and audit trails. Partner directly with accounting stakeholders and technical teams to translate business processes into scalable automated systems.

Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, microservices, APIs, and cloud-native technologies. Collaborate with cross-functional teams to deliver secure, reliable, and business-critical software solutions.

Develop and architect scalable, cloud-native Java solutions for FX and equities prime brokerage. Responsibilities include hands-on coding, testing, system modernization, architecture, production support, stakeholder collaboration, lifecycle improvement, mentoring, and implementing best practices. The role requires expertise in Java, Spring, ultra-low-latency development, databases, messaging, caching, AI coding tools, and distributed systems.

Leads QA strategy and quality initiatives for AI products, architecting scalable automation frameworks and developing testing methodologies for RAG, hallucination, drift, and bias. Owns the AI quality charter and roadmap, influences architecture and cross-functional teams, coaches QA staff, and drives reliability and risk reduction. Bonus responsibilities include CI/CD, cloud platforms, MLOps monitoring, and AI workload performance testing.

Design and evaluate rigorous hardware engineering problems for AI training projects. Develop reference solutions using calculations, simulations, Python scripts, engineering software, and experimental reasoning. Validate models against physical test data, create verification methodologies, investigate hardware failures, and document reproducible technical solutions. The role requires substantial hands-on hardware engineering experience, strong programming ability, and mandatory experience with AI Coding Agents.

Develop and maintain full-stack applications using React and Python. Collaborate effectively with the team, communicate clearly, take ownership of responsibilities, and work independently as a self-starter. The role requires working from Gurgaon three days per week and may involve technologies including GCP, machine learning, web services, Git, Power BI, Node.js, Power Apps, and REST services.

Designs and oversees enterprise software architecture, development, testing, implementation, and technical documentation. Partners with stakeholders and Product teams to define requirements, evaluate technologies, create scalable solutions, review code, support application integrations, and guide development teams. The role also coordinates technology projects, training, system improvements, security, quality, and extensibility while providing technical support for case and client efforts.

Develop and maintain custom ERPNext and Frappe applications, including DocTypes, workflows, reports, dashboards, print formats, integrations, and APIs. Diagnose bugs, improve performance, maintain existing customizations, and manage deployments through Git and staging environments. Use and review AI-generated code for implementation, debugging, testing, refactoring, security, and maintainability. Communicate progress and clarify requirements while supporting ERPNext workflows and related infrastructure.

Build and maintain scalable platform services, internal developer tools, cloud-native infrastructure, and AI-enabled workflows. Develop backend services with Python and Java, provision infrastructure using Terraform, and operate solutions across AWS, GCP, or Azure. The role involves system design, distributed systems, automation, monitoring, troubleshooting, cost optimization, CI/CD, DevOps collaboration, and architectural standards. The position follows a four-day in-office and one-day flexible work arrangement.

Define the AI-native phone’s hardware platform strategy, roadmap, and specifications. Evaluate mobile SoCs and components, including CPU, GPU, NPU, memory, connectivity, power, thermal, and battery capabilities. Translate product and AI requirements into hardware decisions, assess platform customization needs, collaborate with ODMs, OEMs, and chipset vendors, review architecture proposals, and establish validation criteria for current and future on-device AI workloads.

Integrate AOSP or custom ROMs with smartphone hardware, including BSPs, vendor HALs, firmware, drivers, boot processes, cameras, sensors, modems, Wi-Fi, and Bluetooth. Troubleshoot hardware and firmware compatibility, collaborate with OEMs, ODMs, and chipset vendors, and optimize device power consumption and performance.

Develop and modify Android system services, privileged APIs, and AI integration interfaces at the OS level. Build reliable agent-to-system execution capabilities, manage permissions, IPC, application lifecycle, and background execution, and optimize system performance and resource consumption. Collaborate with AI agent engineers while debugging and improving Android platform functionality.

Lead Android platform architecture and AOSP-based custom ROM development for an AI-native phone. Define OS-level AI integration, system services, privileged APIs, permissions, security architecture, and platform extensions. Partner with hardware vendors and ODMs on device integration, assess technical trade-offs, and establish engineering standards. The role requires deep Android internals expertise, platform-level feature delivery, ROM modification experience, and strong Java, Kotlin, and C++ skills.

Develop and modify Android Framework components, system services, privileged APIs, and secure AI-agent integrations. Work on application lifecycle, permissions, background execution, first-party app integration, OS stability, and performance while collaborating with agent engineers. Requires strong Android, Java or Kotlin, AOSP, Binder IPC, permissions, and complex debugging experience.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Lead the architecture and hands-on development of an AI-powered React application builder. Design scalable distributed systems, LLM pipelines, RAG and embeddings workflows, code-generation systems, publishing infrastructure, and AI guardrails. Improve observability, reliability, latency, safety, and fault tolerance while mentoring engineers and partnering with product, design, infrastructure, and security teams. This is an individual contributor role requiring production coding, system design leadership, and operational excellence.

Lead enterprise architecture strategy for a global financial institution. Review fraud-domain application portfolios, assess architecture options and build-versus-buy decisions, conduct rationalization assessments, define target-state “north star” architectures, and create estimates, roadmaps, and transition architecture diagrams. Serve as a technical authority while translating complex business challenges into scalable solutions and collaborating with technical and business stakeholders.

Leads end-to-end power, performance, and area optimization for AI semiconductor SoCs. Influences architecture, RTL, memory hierarchies, dataflows, floorplanning, multi-voltage domains, synthesis, placement, clock-tree synthesis, routing, and power-analysis workflows. Partners with architecture, RTL, physical design, EDA vendors, and software teams to develop custom methodologies and deliver energy-efficient silicon under stringent PPA constraints.

Develop scalable Node.js software and highly available RESTful and GraphQL APIs. Build and maintain microservices, work with databases and cloud platforms, write automated tests, troubleshoot and tune performance, and uphold security, coding, documentation, and review standards. Collaborate with product and delivery teams, contribute to architecture and technical decisions, and deliver software in an agile environment.

As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test frameworks; developing tests with Python, Java, or Go; integrating testing into CI/CD pipelines; applying AI/ML for test generation and defect analysis; analyzing network and test data; and collaborating with development, product, and QA teams.

Designs and develops scalable automated testing solutions for carrier-grade, cloud-native network products. Responsibilities include building functional, regression, performance, and end-to-end test suites; integrating testing into CI/CD pipelines; applying AI/ML for test generation, anomaly detection, defect prediction, and self-healing automation; analyzing network and test data; and collaborating with development, product, and QA teams.