Top Artificial Intelligence Jobs in Pune

Own the blog, site content, and backlink strategy to grow organic traffic. Plan, write, and publish SEO-driven content for college and Greek-life audiences; optimize on-page elements; build and pitch backlink assets; track rankings, backlinks, and content performance; and develop strategies for visibility in AI-generated search answers.

The Content Writer/Ai Editor will create high-quality content while leveraging AI tools for optimization, managing multiple projects, and adhering to brand guidelines.

Create high-quality video content and integrate AI tools into production workflows, combining storytelling and video craft to enhance cinematic quality.

The AI Platform Engineer will design and optimize AI/ML infrastructure, automate pipelines, and manage Kubernetes for effective machine learning model deployment and collaboration.

Lead AI solutions development focusing on Voice AI, Computer Vision, and Conversational AI, enhancing customer support and monitoring platforms.

Develop AI solutions in Voice AI, Computer Vision, and Conversational AI. Architect and build AI systems for monitoring, analytics, and customer support across EV infrastructure.

Design and implement AI-enabled ServiceNow solutions across ITSM, FSM, and ITAM. Provide technical leadership and ensure best practices in AI capabilities, facilitate stakeholder workshops, and guide project teams.

Design, develop, and execute comprehensive automated test strategies for Gen AI/LLM systems. Build scalable Python-based test automation, validate ML/NLP/NLU models, implement CI/CD, and collaborate with cross-functional teams to identify, diagnose, and resolve defects while establishing quality gates and governance for enterprise Gen AI applications.

Drive technical excellence in AI/ML by leading software solutions, mentoring teams, collaborating with stakeholders, and shaping technology strategies.

Lead the design and implementation of AI-driven software solutions, mentor teams, contribute to strategic planning, and foster innovation in the organization.

Manage and design integration processes using Boomi and Workato, supporting and developing solutions for complex business issues. Mentor team members and ensure effective communication with stakeholders.

Manage early-stage grantmaking for the Transformative AI Fund: evaluate applications, recommend grants, source opportunities, support grantees, build partnerships, represent the fund, and develop systems and LLM-assisted tooling to improve grant processes.

Define and deliver AI agents for enterprise spend management. Own vision, architecture, and roadmap; design agent patterns, observability, and closed-loop training; partner with engineering, data science, UX, and go-to-market teams; engage Fortune 100 stakeholders to ship reliable, explainable agentic workflows for invoicing, vendor onboarding, contracts, dispute resolution, and cross-border payments.

Design, build, and deliver enterprise-grade Generative AI and AI/ML platform capabilities: reusable services, APIs, microservices, RAG and agentic solutions, model lifecycle tooling, inference and monitoring, event-driven streaming with Kafka, CI/CD and DevOps automation, and platform observability to accelerate AI adoption across business domains.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

Lead the intelligent transformation of operations support functions through AI and data solutions, overseeing hands-on technical delivery and team leadership in AIOps initiatives.

Design, execute, and maintain test plans for an AI-powered platform. Perform functional, integration, regression, end-to-end, API, browser/device compatibility, and performance testing. Validate AI features, prompts, and generated responses; track and verify bug fixes; collaborate with developers and product teams; prepare launch-readiness reports and recommend stability and UX improvements.

Lead a team designing, delivering, and scaling AI and automation solutions across Azure and Microsoft 365. Manage hybrid identity, Azure operations, M365 administration, security/compliance, on-prem servers, vendor relations, and AI strategy (Copilot, OpenAI, Cognitive Services). Oversee governance, POCs, and enterprise adoption while providing L2/3 support and project delivery.

Design and build production AI systems for BJAK's AI Neobank: AI agents, LLM apps, RAG/retrieval, tool-calling, and automations for onboarding, KYC, risk, CRM and operations, with focus on accuracy, latency, cost, security, compliance and reliability.

The AI Engineer will develop and deploy AI/ML models and solutions, collaborate with teams, and ensure production readiness while addressing complex business problems.

Technical pre-sales architect for enterprise AI engagements. Design end-to-end AI/ML infrastructures (GPU clusters, networking, storage, MLOps, inference), whiteboard architectures, validate NVIDIA integrations, collaborate with cloud and partner teams, drive proofs-of-concept via ATC, and ensure clean handoff to delivery while supporting revenue-generating sales efforts.

Design, implement, and lead large-scale generative AI and ML systems (LLM fine-tuning, RAG, agents, Graph ML). Build REST APIs, deploy with Docker/Kubernetes, optimize big-data workflows, mentor engineers, and operate ML services on cloud platforms.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

Operate and improve AWS-hosted SaaS environments using DevOps, automation, and AI tools. Troubleshoot production issues, automate operational tasks, support on-call, administer Windows-based web hosting (.NET/IIS/SQL Server), build CI/CD and IaC (Terraform), enhance observability, and drive responsible AI-assisted engineering to reduce toil and increase reliability.