Top Artificial Intelligence Jobs in Delhi

Designs and maintains a centralized AI platform and agentic framework supporting secure deployment, management, and integration of AI agents. Responsibilities include building scalable agentic solutions, developing unified APIs, integrating agents into applications, optimizing cloud-native workloads, ensuring security and compliance, conducting capacity planning, mentoring engineers, and shaping the platform roadmap.

Designs, develops, administers, and supports enterprise AI solutions using Microsoft Copilot, Claude, and Azure AI Foundry. Leads AI orchestration, prompt and workflow optimization, RAG implementations, platform integrations, MCP deployments, automation, security configuration, monitoring, upgrades, and issue resolution. Partners with stakeholders and IT teams, leads AI projects, documents workflows, and ensures responsible AI practices, compliance, and service-level performance.

Design and deliver production AI solutions for enterprise customers, including agentic AI systems, LLM applications, RAG pipelines, ML services, APIs, and LLMOps infrastructure. Lead technical customer engagements, pre-sales initiatives, architecture decisions, delivery workstreams, and escalations. Collaborate with engineering and product teams, deploy solutions across cloud and on-premises environments, establish responsible AI controls, and mentor junior engineers while ensuring measurable business outcomes.

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, high-performance solutions for business-critical needs.

Build intelligent, user-centric web applications powered by AI and Generative AI. Combine front-end engineering expertise with AI/ML integration to create modern digital products and next-generation user experiences. Collaborate with Product Managers, UX Designers, Data Scientists, and Backend Engineers throughout product development.

Designs, implements, and optimizes Microsoft 365 security, compliance, identity, data governance, and AI-agent controls. Configures Purview, Entra ID, Defender, DLP, retention, eDiscovery, Conditional Access, MFA, RBAC, and privileged access. Assesses client environments, identifies gaps, develops remediation plans, and delivers technical documentation, workshops, testing, implementation, and knowledge transfer. Requires strong consulting, customer-facing, documentation, and PowerShell automation skills.

Design, build, and lead scalable backend services and AI platform systems using Node.js, TypeScript, AWS, databases, and modern LLMs. Own architecture, reliability, security, observability, CI/CD, and performance across multiple teams. Mentor engineers, guide technical direction, collaborate cross-functionally, and ship agentic AI products in a startup environment. The role remains hands-on, covering distributed systems, APIs, cloud infrastructure, and end-to-end solution design.

Lead the development, training, deployment, and maintenance of machine learning and generative AI systems. Build predictive, NLP, chatbot, LLM, and agentic AI solutions using cloud platforms, big data technologies, databases, and ML frameworks. Design ETL pipelines, optimize data processing, and create analytics visualizations. The role also involves model fine-tuning, scalable AI application development, and collaborative problem-solving.

Design and implement quality engineering strategies for AI-powered applications, LLMs, RAG pipelines, copilots, and autonomous agents. Build scalable Python automation frameworks, AI evaluation pipelines, synthetic datasets, and validation workflows. Test APIs, microservices, distributed systems, and agent orchestration while integrating quality gates into CI/CD. Validate vector databases, model behavior, safety, observability, reliability, performance, and cloud deployments across Docker, Kubernetes, and major cloud platforms.

Teach a Skool community to build and implement AI automations, agents, and workflows. Create tutorials, step-by-step guides, and live workshops; provide hands-on support for content creation, faceless YouTube channels, and business process automation; stay current with AI tools and strategies.

Own the national Legal and Tax Professionals segment, sales targets, renewals, pricing, conversion funnels, association partnerships, events, referrals, and reseller programs. Lead and coach the sales team while expanding subscriptions among law firms, advocates, Chartered Accountants, tax consultants, and professional associations across India. The role requires regular nationwide travel and deep relationships within India’s legal and tax communities.

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.

Owns Athena’s organization-wide data governance, privacy, protection, and responsible AI framework across multiple countries. The role develops policies, consent and risk tools, data inventories, compliance processes, incident response, AI approvals, and ISO 27001/SOC 2 readiness. It also trains staff and partners, supports live projects, manages audits, advises clients and regulators, and reports governance progress to leadership.

Lead pre-sales and technical delivery for Microsoft Industry Solutions, mapping customer needs to Microsoft Cloud and AI solutions. Drive project planning, risk mitigation, stakeholder engagement, IP reuse, and business development while mentoring teams and ensuring operational compliance.

Supports customers through live chat by troubleshooting wireless internet products and services, resolving issues, and delivering positive customer experiences. The role requires energetic, meaningful customer engagement and focuses on helping clients’ customers while contributing to customer experience insights and digital support operations.

Creates and manages content across social media, blogs, newsletters, executive communications, and marketing campaigns. Supports brand storytelling, thought leadership, industry positioning, and demand generation. Uses generative AI and automation tools to improve content workflows and productivity. Manages publishing schedules, researches trends, monitors engagement and campaign performance, collaborates with Sales, and ensures accurate, consistent brand messaging.

Build production agentic AI solutions and reusable frameworks on Azure AI Foundry. Responsibilities include multi-agent orchestration, RAG knowledge repositories, reusable tools, Dataverse and Power Platform integration, governance, human approvals, evaluation, observability, security, and infrastructure-as-code deployments. The role requires strong Python and C#/.NET engineering skills, production LLM application experience, Azure expertise, and collaboration with business, technical, and risk stakeholders.

Designs and delivers enterprise AI solutions on SAP BTP using SAP AI Core, AI Launchpad, Joule, ML services, and SAP Build Process Automation. Responsibilities include developing AI/ML models, integrating Joule with SAP business applications, delivering intelligent workflows, defining AI architecture and MLOps pipelines, and creating Clean Core-aligned extensions across multi-cloud environments.

Build and operate AI research products involving hybrid retrieval, paper-to-video matching, RAG, agentic pipelines, protocol understanding, and cited scientific answers. Develop evaluation frameworks, production LLM services, APIs, MCP integrations, and search instrumentation. Collaborate with product teams, scientists, editors, and engineers while optimizing relevance, citation accuracy, latency, and cost.

Own and lead the company’s end-to-end legal function, including drafting and negotiating commercial agreements, advising on contractual risks, managing vendors and external counsel, supporting employment and equity matters, and handling fundraising, governance, IP, privacy, compliance, and regulatory issues. The role requires strong US commercial contract expertise and experience supporting US-based companies, ideally in pharma, life sciences, or healthcare.

Build and operate internal AI platforms for developer workflows and AI-assisted operations. Integrate AI into CI/CD and engineering toolchains, implement quality and compliance guardrails, support HIPAA/GxP and FedRAMP-boundary environments, and develop anomaly detection, incident triage, runbook automation, and self-healing capabilities. Partner with engineering, security, compliance, and leadership to establish responsible AI standards and measure improvements in engineering throughput and operational reliability.

Creates educational videos by transforming scripts, storyboards, and animatics into AI-generated footage. Uses prompt engineering, generative AI image and video tools, editing, compositing, motion graphics, and traditional animation techniques. Maintains visual consistency, character continuity, and production quality while correcting AI artifacts. Collaborates with creative leads, illustrators, and content developers, manages multiple projects, meets deadlines, and incorporates feedback.

Leads the FP&A technology and analytics function, owning the technology roadmap, planning systems, reporting, data governance, integrations, automation, AI, and transformation delivery. Oversees Workday Adaptive Planning, Power BI, Snowflake, and related finance data architectures while partnering with Finance, IT, Data, Engineering, HR, and Accounting. Establishes governance, controls, adoption programs, and scalable self-service analytics, while managing and developing FP&A technology, BI, systems, and analytics teams.

Leads the SPARC-AI Fellows program across 20 constituencies, managing timelines, fellow training, field research, AI tool rollout, government and MP engagement, monitoring, reporting, data quality, and responsible AI practices. The role coordinates multi-location interventions with SHGs, ensures ethical data collection and measurable impact, resolves implementation challenges, oversees constituency and national reports, and supports handover to local AI trainers.

Build production-grade agentic AI systems that reason, search, and execute workflows. Develop RAG pipelines, AI agents, semantic search layers, data processing solutions, dimensional data models, and scalable AI workloads. Work with structured and unstructured data, LLMs, vector databases, cloud infrastructure, CI/CD, and ML observability. Responsibilities include fine-tuning models, prompt engineering, optimizing context windows, and deploying reliable AI applications.