Top Artificial Intelligence Jobs in Pune

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

Own a portfolio of NAMER SaaS accounts, driving renewals, revenue retention, and expansion. Build account plans, whitespace maps, and self-sourced expansion pipelines; manage forecasts and CRM accuracy; navigate complex stakeholder relationships, escalations, and executive business cases; and partner cross-functionally to protect and grow accounts. The role carries a quota of at least $500K and includes uncapped commissions.

Manages science and technology initiatives for sustainable industrial fisheries. Leads multidisciplinary projects involving electronic monitoring, AI, machine learning, computer vision, data systems, hardware, software deployment, and seafood traceability. Oversees vendors, contractors, budgets, procurements, technical assessments, and deployment of systems in remote environments. Translates technical concepts for diverse stakeholders and supports technology evaluation, scaling, and conservation strategy. The role may require domestic and international travel of 25% or more.

Drives growth through complex, high-value sales opportunities across data, analytics, AI, and SaaS solutions. Owns the full sales cycle, expands executive stakeholder networks, supports strategic renewals, leads workshops, and communicates measurable customer value. Partners with account managers and cross-functional teams in enterprise, academic, and government environments. Extensive regional travel and engagement with senior stakeholders are required.

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.

Develop AI applications using Python, generative AI, LLMs, RAG, vector databases, APIs, and agentic AI frameworks. Build and integrate solutions with models including GPT, Claude, Gemini, and Llama. Use LangChain, LangGraph, Docker, cloud platforms, and modern deployment tools. The role requires strong problem-solving, API development, prompt engineering, and immediate or short-notice availability for office-based work.

Design, build, and maintain production-quality full-stack software, APIs, backend services, automation, cloud-native applications, integrations, and CI/CD pipelines. Develop AI-enabled solutions using LLMs, RAG, and agentic workflows. Apply strong practices in testing, observability, security, reliability, and maintainability while contributing to technical design and solving ambiguous engineering problems.

Lead the design and implementation of end-to-end automation for AI cluster provisioning, configuration, validation, lifecycle management, and teardown. Build idempotent workflows across GPU compute, networking, storage, and service nodes, integrating PXE, firmware, Kubernetes, Slurm, and infrastructure APIs. Develop health checks, drift detection, rollback, recovery, and observability capabilities while coordinating complex distributed dependencies and documenting operational processes.

Design, develop, test, and deploy scalable software solutions using modern engineering practices. Build distributed microservices, apply DevSecOps and continuous delivery, collaborate with cross-functional teams, contribute to technical vision, assess code quality and nonfunctional requirements, and mentor junior developers. The role includes software consulting and delivery across the full lifecycle, from ideation through deployment.

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 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.