Top Artificial Intelligence Jobs in Pune

Lead architecture for enterprise AI initiatives across products, platforms, and shared capabilities. Define AI architecture standards, reference patterns, governance, security, and operational guardrails. Guide solutions involving LLM applications, retrieval systems, agentic workflows, orchestration, evaluation, observability, and cloud-native platforms. Partner with business, product, and engineering leaders, influence strategic decisions, mentor technical teams, and support AI-enabled software development and platform modernization.

Owns the full sales cycle for complex, high-value AI research workspace opportunities, from prospecting and discovery through negotiation and closure. Builds executive stakeholder relationships, generates new business, supports strategic renewals, leads workshops, develops business cases, and communicates measurable value from AI-powered research and knowledge workflow solutions. Requires enterprise sales expertise, AI fluency, consultative selling skills, and extensive regional travel.

Lead data science efforts to design, develop, and productionize ML models, services and scalable data pipelines. Collaborate across lines of business to deliver AI-powered software solutions, perform analysis and insights, and optimize business outcomes in a secure, scalable financial-services environment.

The Lead AI Scientist will design and optimize LLM architectures, fine-tune models, develop AI systems, mentor junior members, and collaborate with clients and teams on AI solutions.

Own the end-to-end product experience for agentic AI products, partnering closely with the CPO, design, and engineering. Responsibilities include defining the roadmap, features, UX improvements, onboarding, in-app education, and product marketing content. The role requires deep product exploration, data-driven prioritization, identifying friction and gaps, creating comprehensive PRDs and prototypes, and shipping simple, high-impact improvements in a fast-moving startup environment.

Evaluate datasets and AI-generated outputs for accuracy, relevance, consistency, and quality. Provide written feedback to improve AI system performance, follow project guidelines, support quality assurance, and communicate findings clearly. The role requires strong critical thinking, analytical reasoning, attention to detail, organization, and independent work in a remote environment. Prior AI experience is not required; data annotation, content evaluation, quality assurance, research, and AI project experience are preferred.

Develop generative AI applications and agentic workflows using Python, LLMs, RAG, vector databases, and frameworks such as LangChain, LangGraph, and LlamaIndex. Build AI agents integrating APIs, tools, databases, and enterprise services. Develop FastAPI REST APIs, apply machine learning libraries, optimize prompts and model performance, evaluate responses, detect hallucinations, and secure AI-generated code. Collaborate within SDLC and Agile development practices.

Perform incoming material receipt, documentation review, and release under cGMP/GxP requirements. Maintain quality records and data integrity using Veeva, SAP, GLIMS, LIMS, and electronic QMS platforms. Support investigations, CAPA, audits, inspection readiness, PQRs, supplier collaboration, and process improvements. Apply automation and AI tools to improve quality operations while mentoring junior colleagues and coordinating with global stakeholders.

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.

Designs and scales AI-powered go-to-market workflows across marketing, sales, customer success, and revenue operations. Responsibilities include building AI copilots and agents, automating lead-to-renewal processes, integrating Salesforce and other GTM tools, operationalizing LLMs, improving CRM data quality, enabling predictive analytics, and delivering recommendations that improve pipeline conversion, forecasting, seller productivity, retention, and expansion.

Leads Mars’ global enterprise technology strategy across People & Organization, Corporate Affairs, and Sustainability. Oversees Workday and ServiceNow platforms, digital transformation, AI and analytics adoption, M&A integration, Agile and DevOps scaling, global delivery operations, vendor governance, and enterprise architecture. Partners with C-suite and federated business units to modernize technology ecosystems, improve associate experiences, and deliver secure, resilient, value-driven outcomes.

Leads software design, implementation, optimization, and technical consulting engagements for Cisco customers. Translates business requirements into solution architectures, supports presales and project scoping, develops integrations and simulations, resolves complex technical issues, and creates documentation and training. Provides customer guidance, mentors engineers, and contributes to strategic projects involving software development, cloud, microservices, automation, databases, AI, and Cisco service technologies.

Own enterprise pipeline generation for strategic accounts across BFSI, manufacturing, and government. Design account-based outbound campaigns, conduct consultative discovery with C-level buyers, maintain CRM data quality, track conversion metrics, and partner with Account Executives on account planning. Mentor junior BDRs, support playbook development, and engage prospects around Rubiscape’s unified data, BI, ML, and AI platform.

Build production-grade AI agents that analyze infrastructure discovery logs, execution results, errors, and failed discoveries. Develop capabilities for failure classification, root-cause analysis, troubleshooting, corrective-action recommendations, and guarded probe or pattern corrections. Create data-processing pipelines and REST API integrations to bring monitoring telemetry into AI systems. The role requires advanced Python, Gen AI API integration, RAG, vector databases, CI/CD practices, automated testing, and deployment automation.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s remote Bosnian AI contributor network to support flexible projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; and prompt creation for large language models. Contributors help improve linguistic, cultural, and industry-specific accuracy in AI systems. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Bosnian, English proficiency, digital-tool comfort, and strong attention to detail are required.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Join Welo Data’s remote Tajik contributor network for potential AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s remote Igbo contributor network in Nigeria to support flexible AI projects. Potential assignments include annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and ensuring linguistic and cultural accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join Welo Data’s remote Persian contributor network to support AI training projects through text, image, or audio annotation; search, ad, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s Marathi contributor network for future remote AI projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Applicants must be native or near-native Marathi speakers based in India, proficient in English, comfortable with digital tools, detail-oriented, and curious. This is a talent-community opportunity rather than an active opening, with project scope, timelines, and compensation provided before each assignment.

Join Welo Data’s Catalan AI contributor network for potential remote projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Applicants need native or near-native Catalan, English proficiency, digital-tool comfort, attention to detail, and residence in Spain, Andorra, or Italy.