Top Artificial Intelligence Jobs in Delhi

Leads the architecture, development, and productionization of AI/ML and GenAI solutions for healthcare operations. Responsibilities include building clinical and claims data pipelines, developing LLM and RAG applications, implementing MLOps and LLMOps, ensuring HIPAA-compliant governance, translating business needs into technical roadmaps, communicating with stakeholders, and mentoring engineers.

Lead Alpaca’s global Trading API customer experience organization, including General and VIP Support. Build a follow-the-sun coverage model, establish service standards and KPIs, improve support through data, AI, automation, and self-service, and develop high-performing teams. Partner with Product, Engineering, Trading, Operations, Compliance, and Sales to resolve recurring issues, improve customer workflows, and support institutional trading customers.

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.

MBA summer associates join Roland Berger for an 8–12-week internship, contributing to real client projects with consulting teams across global offices. Responsibilities involve strategic work, analytical and creative problem-solving, teamwork, entrepreneurial thinking, and applying AI-based solutions and data skills to complex business challenges. High-performing interns may receive full-time offers.

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.

Evaluate AI chatbots and language models through structured written and voice interactions. Assess capabilities, safety, helpfulness, and response quality; follow assigned prompts and goals; and submit ratings, write-ups, screenshots, or recordings. The role is remote, task-based, and project-based, with flexible scheduling and work delivered in batches.

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.

Develop and ship Yahoo Mail mobile features for Android, owning projects from technical design through deployment, monitoring, and improvement. Build scalable solutions using Kotlin, Java, Android frameworks, Jetpack Compose, and React Native; integrate APIs; address performance, reliability, and usability challenges; conduct code reviews; collaborate cross-functionally; mentor teammates; and use AI development tools to improve engineering productivity while maintaining quality and security.

Own enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and value realization. Translate customer workflows into product requirements, technical solutions, deployment roadmaps, and measurable outcomes. Partner with engineering, sales, customer success, finance, legal, security, and operations while evaluating AI trade-offs, business value, and production readiness. Identify reusable customer needs and help establish scalable product, operating, and deployment playbooks.

Build, tune, deploy, and validate machine learning models for fraud detection, risk scoring, and customer analytics in the BFSI and credit card domain. The role involves performance and stability testing, documentation, troubleshooting data and model issues, communicating findings to varied stakeholders, managing analytical projects independently, and staying current with emerging AI and ML techniques.

Build applied AI systems and prototypes using LLMs, RAG pipelines, vector databases, agentic workflows, structured extraction, and custom models. Design evaluation frameworks, measure accuracy and grounding, analyze errors, and iterate on solutions. Work with large structured and unstructured datasets using Python, SQL, and cloud data platforms. Partner with product, data, engineering, and business teams to translate ambiguous problems into measurable AI solutions and document architectures, prompts, runbooks, and results.

Leads Singapore-China digital economy collaboration, technology policy engagement, and strategic partnerships. Responsibilities include monitoring China's technology landscape, developing engagement strategies, advising senior management, building government and industry relationships, identifying G2G and B2B opportunities, coordinating bilateral workstreams, and representing IMDA in regional engagements. The role is based in China after an initial Singapore assignment and includes supervision of regional operations.

Owns operational execution and scale-up of an AI agriculture program in India. Responsibilities include building work plans, coordinating multi-state delivery, managing government relationships, establishing state operations, solving logistical challenges, developing scalable systems, hiring and onboarding field staff, and supporting strategic pivots. The role serves as a founding team member and requires strong project management, adaptability, communication, relationship-building, and delivery skills in a fast-growing environment.

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.

MBA summer associates join Roland Berger consulting teams for 8–12 weeks, working on real client projects across global offices. Interns apply strategic thinking, analytical and creative problem-solving, teamwork, entrepreneurial skills, and AI and data capabilities to complex business challenges. Outstanding performers may receive full-time offers.

Lead the deployment, configuration, integration, and adoption of Claude Enterprise for a major financial services customer. Design Claude Cowork workflows, integrate enterprise systems and data sources, implement secure AI solutions, and identify automation opportunities. Partner with technical and business stakeholders to translate requirements into measurable outcomes, provide implementation support, improve adoption, and share best practices. The role requires strong asset management experience and expertise in enterprise AI, security, governance, compliance, and regulated environments.

Lead technical implementation of Claude Enterprise and Claude Cowork for a financial services customer. Design enterprise AI architectures, integrations, workflows, and secure scalable solutions; guide engineers through deployment and adoption; ensure regulatory, privacy, and governance compliance; identify high-value asset management use cases; collaborate with stakeholders; mentor engineers; and develop reusable AI frameworks and implementation standards.

Build and productionize LLM-powered agents, workflows, and RAG systems. Apply prompt engineering, embeddings, fine-tuning, and traditional ML to automate tasks and improve products. Mentor teammates and help design scalable, production-grade AI infrastructure while staying current on LLM advances.

Leads enterprise technology strategy, delivery, and transformation across Finance, FinTech, Legal, and Risk. Oversees product platforms, Agile and DevOps adoption, AI and data initiatives, digital transformation, change management, vendor partnerships, governance, and technology operations. Partners with executive stakeholders to align global priorities, integrate platforms, manage dependencies, and deliver scalable, secure, value-driven outcomes across a federated enterprise technology organization.

Build and productionize machine learning, generative AI, LLM, and automation solutions. Design industrialized processing pipelines, implement MLOps and LLMOps best practices, develop enterprise AI agents using Microsoft Copilot Studio and Azure AI Foundry, and integrate Microsoft and Azure services. Gather requirements, estimate work, present technical solutions, troubleshoot agents, and create documentation.

Build and deploy production AI solutions natively in Snowflake, including machine learning models, Cortex Agents, document intelligence, semantic data access, and search services. Develop evaluation frameworks, assess AI quality, work with messy business data, and communicate findings to stakeholders. Collaborate with platform engineers while owning problem framing, experimentation, solution development, governance, and production delivery.

Designs and governs enterprise AI, data, analytics, cloud, and platform architectures. The role develops AI reference architectures, data engineering standards, cloud infrastructure patterns, resilience controls, responsible AI frameworks, and technology roadmaps. It guides engineering teams, reviews strategic solutions, establishes governance, mentors technical staff, and partners with business, security, compliance, and senior leadership to enable scalable, secure, cost-effective AI and data platforms.

Build and deploy production AI solutions natively in Snowflake, including machine learning models, Cortex Agents, document intelligence, semantic data access, and search services. Develop evaluation frameworks, assess model and LLM quality, work with messy business data, and communicate findings to stakeholders. The role covers the full AI project lifecycle from problem framing and prototyping through governance and production deployment.

As a Senior Business Systems Analyst, you will define system goals, capture business requirements, and work with engineering teams on SFDC implementations.

Conduct AI visibility audits across ChatGPT, Perplexity, and Google AI Mode; identify content, schema, and technical improvements; use AI tools to run scripts; prepare client reports and updates; and document repeatable processes. The role involves live client work, communication, experimentation, and learning SEO, analytics, and AI visibility tools on the job.