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 the AI Quality engineering team while building evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Design CI/CD evaluation pipelines, run experiments across prompts and models, diagnose agent failures, improve latency and cost, and partner with AI Core engineering. This is a hands-on player-coach role requiring production software experience and expertise in evaluating complex, tool-using LLM systems.

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 scalable Python backend services, APIs, cloud-native applications, and AI-powered solutions. Develop LLM, RAG, agentic, and multi-agent systems; deploy workloads with Docker and Kubernetes; maintain CI/CD pipelines; and operate applications across major cloud platforms. Collaborate cross-functionally to deliver secure, tested, observable, and production-ready software while optimizing performance, scalability, latency, and cost.

Lead end-to-end transformation delivery and Agile ways-of-working improvements. Build and operationalize agentic AI capabilities, including Claude-style skills, workflows, playbooks, and reusable assets. Identify and incubate AI use cases that automate or improve requirements, planning, governance, reporting, testing, documentation, RAID management, and decision support. Collaborate with business analysts, project managers, PMO, IT managers, and transformation teams.

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.

Lead hands-on delivery of agentic AI solutions across Salesforce, Slack, and enterprise workflows. Design LLM-powered agents, multi-agent systems, RAG pipelines, semantic search, AI evaluation frameworks, and secure integrations. Build Salesforce components and Agentforce actions, implement CI/CD and observability, establish governance and fallback strategies, modernize legacy integrations, mentor engineers, evaluate AI platforms, and automate manual GTM processes.

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.

Leads 2AI India’s agriculture portfolio, setting strategy, designing AI-enabled agriculture pilots, and building partnerships with government, research institutions, implementation organizations, and AI labs. The role requires deep knowledge of Indian smallholder agriculture, hands-on program execution, team building, fundraising and external representation, and the ability to scale weather forecasting and advisory services for farmers. The director will establish a new program, manage ambiguity, and translate evidence into practical delivery plans.

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.

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.

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.

Develop and support SAP ABAP solutions using ABAP 7.4+ and S/4HANA OData. Serve as a subject matter expert, contribute to implementations and emerging-technology proofs of concept, mentor junior team members, and review deliverables. Manage tickets, incidents, changes, problems, SLAs, risks, escalations, and project status reporting while collaborating directly with clients and cross-functional teams.

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

Leads emerging product innovation from opportunity discovery through prototyping, pilots, product-market validation, commercialization, and scale. Owns AI, data, analytics, automation, and platform product strategies; establishes experimentation and stage-gate governance; develops investment cases and go-to-market plans; and aligns cross-functional teams and executives. Manages product leaders, builds incubation practices, and drives measurable customer, revenue, efficiency, and strategic outcomes.

Leads enterprise IT service management across global, multicultural, and multi-vendor environments. Establishes ITSM goals, governance, metrics, and continuous-improvement practices while managing stakeholders, third parties, resources, and cross-functional teams. Applies ITIL, Lean Six Sigma, ISO 20000, DevOps, and Site Reliability Engineering concepts to improve service outcomes, reduce toil, and identify automation opportunities. Requires strong leadership, communication, planning, analysis, and business stakeholder-management skills.

Leads information security governance, cyber risk management, compliance, audit readiness, client assurance, and AI governance programs. Partners with cross-functional teams, oversees regulatory and industry framework alignment, manages risk assessments and remediation, and leads a team of Cyber GRC professionals. Advises customers, regulators, auditors, and executives on security posture while supporting responsible AI adoption and emerging risk management.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.

Leads strategic IT services accounts, managing senior client relationships, account growth, renewals, commercial negotiations, delivery governance, and technical solution positioning. Owns upsell and cross-sell opportunities, proposals, contracts, profitability, account health, risk management, and executive reviews. Partners with delivery teams to maintain project quality, budgets, milestones, and SLAs while mentoring project and engagement teams.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Provides systems safety engineering for aircraft turbine engines and power systems. Conducts hazard, reliability, and root cause analyses; develops safety requirements, plans, procedures, and reports; reviews designs for regulatory compliance; manages requirements using DOORS; supports certification and qualification; collaborates cross-functionally on risk mitigation, reliability metrics, process automation, and AI-enabled safety improvements.

Entrepreneurial recruitment leader responsible for building and scaling CX25WW’s Recruitment Services business within an assigned territory. The role involves acquiring clients, generating recruitment mandates, building partnerships, leading recruitment teams, implementing AI-driven sourcing, managing delivery quality, and achieving revenue and profitability targets. The successful candidate will invest in establishing the territory and operate under a performance-based revenue-sharing model as a co-founder.

Provides technical leadership for FAA and EASA certification and qualification of aircraft turbine engines and auxiliary power units. Prepares and reviews certification and qualification plans, reports, and related artifacts; coordinates with aviation regulators; standardizes and improves certification processes; and applies automation and artificial intelligence to reduce cycle time and cost. Supports systems engineering activities, talent development, technical coaching, and innovation across Honeywell Aerospace programs.