Top Artificial Intelligence Jobs in Mumbai

Lead enterprise AI transformation by designing strategies, roadmaps, governance, and measurable KPIs. Engage senior stakeholders, define SOWs and commercial models, and manage program delivery, profitability, and change. Collaborate with engineering to design multi-agent, orchestration, knowledge retrieval, and workflow automation solutions while ensuring feasibility, security, and ROI.

As an AI Engineer Manager, you will design and develop AI models, collaborate with cross-functional teams, ensure ethical AI practices, and integrate solutions into production pipelines.

Build and scale production-ready AI and multimodal systems, design integrations between LLMs/VLMs, tools and microservices, optimize prompts and inference costs, implement observability/testing, apply Responsible AI, translate ambiguous requirements into specs, and mentor engineers toward AI-first engineering practices.

As a Senior Software Engineer at Sophos, you'll design and manage AI-driven firewall systems, focusing on enhancing automation, security, and compliance while taking ownership of end-to-end distributed systems.

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.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

The AI Engineer will develop and deploy GenAI applications, serve as a technical advisor, and collaborate on strategic initiatives in AI at Databricks.

Design, harden, and operate production-grade AI infrastructure and Kubernetes platforms for training, evaluation, and inference. Build MLOps pipelines (versioning, CI/CD, monitoring, rollback), enforce security-first designs, deploy reliable enterprise systems, and accelerate development using AI coding agents while partnering with ML and application teams.

The AI Engineer will develop, implement, and maintain AI systems and algorithms, ensuring data quality and deploying models in production. They will collaborate with teams to build data pipelines and ensure AI solutions meet requirements.

Build and maintain BigQuery data pipelines, map warehouse schemas, and craft SQL to feed LLMs. Develop Claude Skills and Gemini Gems, collaborate on prompts, validate AI outputs, and design AI agents to automate eCommerce analytics and operational workflows.

Annotate and review multimedia data (video, images, metadata) using detailed labeling guidelines; perform self-QA, participate in calibration, track issues, support quality workflows, and coordinate with stakeholders to meet throughput and quality targets.

Lead architecture and hands-on delivery of production agentic AI solutions: design reusable accelerators, integrate LLMs and retrieval (RAG), ensure reliability, security, observability, and guardrails, collaborate with cross-functional teams, mentor engineers, and contribute IP, patterns, and production best practices across clients.

Design, build, and scale no-code/low-code automation workflows and AI agents across business functions. Analyze processes, integrate systems via APIs/webhooks, implement OpenAI/Claude-powered solutions, build decision and scoring frameworks, deliver client-facing automation projects, and produce documentation and reusable playbooks to improve operational efficiency.

Lead product strategy, roadmap, and market launch for agentic AI solutions. Collaborate cross-functionally to define requirements, validate features, integrate with ServiceNow, drive POCs and production rollouts, and measure ROI and IP/services revenue.

Lead research and development of LLMs, transformers, diffusion and multimodal models. Design, train, fine-tune, benchmark, and deploy production-ready deep learning systems. Debug and optimize large-scale ML pipelines, collaborate with engineering teams, and document experiments and findings for fast-paced startup delivery.

Design and build scalable production systems and data pipelines to support GenAI and ML models. Collaborate with data scientists to integrate NLP and deep learning models into backend services, ensure code quality, security, and performance, and lead backend ownership for AI/ML projects.

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

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Design and build production LLM-based agent systems, governance knowledge pipelines, hybrid retrieval and evaluation frameworks, and platform infrastructure. Implement behavioral shaping, observability, and constraints to ensure agents align with governance and compliance requirements, collaborating with product and data teams.

Provide presales technical support to sales: qualify opportunities, deliver tailored AI and data analytics demonstrations, run technical POCs, manage POC assets, contribute to RFP/RFI responses, train partners, and represent the company at events.

Design, build, and deploy end-to-end AI solutions—including predictive models, GenAI/LLM and agentic systems—integrating data preparation, feature engineering, model training, deployment, APIs, and monitoring for enterprise customers. Support implementation, demos, and cross-functional collaboration to deliver production-ready AI on the H2O.ai platform.

Design, build, and deploy end-to-end AI solutions including predictive models, GenAI/LLM systems, RAG pipelines, and agentic workflows. Own data preparation, feature engineering, evaluation, deployment, monitoring, and customer enablement. Build backend services and APIs, guide customers on model governance and responsible AI, and deliver workshops and reference architectures.

As a Product Manager, you will drive product strategy, delivery, and feature prioritization for Enterprise Data initiatives, ensuring alignment between customer needs and business goals.

As a Senior Software Engineer, you will design scalable software solutions, lead a team in product development using Python and AWS technologies, and mentor junior engineers.

Support engineering teams by enabling AI code assistants, configuring development environments and IDEs, maintaining DevOps/DevSecOps and CI/CD pipelines, assisting with MCP integrations, implementing agentic workflows and automation, providing end‑user support and documentation, and collaborating with senior engineers to improve tooling and processes.