Top Artificial Intelligence Jobs in Pune

Lead enterprise customers in deploying Generative AI solutions, architect production systems, and mentor on AI Factory deployments while optimizing MLOps and inference processes.

Lead design and deployment of Responsible AI solutions, ensure ethical and regulatory alignment, own AI governance, mentor teams, collaborate cross-functionally, and monitor AI impact for compliance.

The BIA VP - Finance and Treasury is responsible for auditing, risk management, strategy setting, and stakeholder communication in a banking environment.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead and support execution of ADI's global compliance programs: risk‑based monitoring, policy management, testing, investigations, training, ISO 37301 alignment, audits, remediation, and cross‑functional stakeholder coordination.

Build and integrate agentic and generative AI solutions: implement RAG pipelines, integrate LLMs and agent frameworks, write production-quality Python, apply TDD, build data pipelines and visualizations, and collaborate in Agile consulting engagements to deliver client-facing AI products.

Lead design and delivery of agentic and generative AI systems including multi-agent orchestration, RAG pipelines, LLM integration, and AI-coding agent workflows. Provide technical leadership on client engagements, mentor engineers, perform EDA and statistical analysis with Python, and enforce engineering standards, TDD and scalable system design while contributing to practice development.

The AI Data Engineer will build and maintain data systems, design data architectures, collaborate with data scientists, and advise on strategies for data management and governance.

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

Lead vision, roadmap, and delivery of AI/LLM-powered applications. Translate business requirements into technical specs, oversee Python/REST/FastAPI development, integrate LLMs (OpenAI/Azure), vector DBs and RAG, partner with DevOps for cloud deployments (AWS/Azure/GCP/Docker), define success metrics, and drive cross-functional stakeholder alignment and optimization.

The Lead AI Engineer designs and delivers AI/ML and Generative AI solutions for banking platforms, integrating data and enabling AI-driven decisions.

Design, develop, and improve software solutions using AWS for scalability and performance. Lead teams and influence decision-making for operational effectiveness.

Lead design and implementation of a scalable AI Innovation Platform. Define architecture, best practices, and integrations with cloud, container orchestration, databases, CI/CD, and AI services. Collaborate with product, design, and engineering teams, prototype solutions, guide technical decisions, and upskill teams on AI-enabled software development.

Design, develop, and deploy end-to-end AI applications combining generative agents and RAG pipelines. Build autonomous/multi-agent systems, production-grade RAG with vector DBs, interactive React JS interfaces, Java (Spring Boot) backends, and deploy the stack on AWS (Lambda, ECS).

Design, build, and operationalize scalable enterprise cloud services using Python (or Java/NodeJS/Ruby), FastAPI/Django, React/TypeScript, GraphQL, event-driven and streaming architectures. Lead CI/CD, Terraform modules, performance testing, release management, and safe LLM/GenAI integrations while advising management and enforcing responsible AI practices.

Design, build, and deploy scalable AI/ML solutions using Azure OpenAI and related Azure services; lead end-to-end projects, implement RAG and LLM integrations, ensure CI/CD and secure API/data practices, and collaborate across global teams.

Design, build, test and deploy scalable, secure Java Spring Boot microservices and React/TypeScript front-ends. Implement AWS cloud-native solutions, IaC, CI/CD, observability, automated testing, and lead technical investigations. Drive safe AI-assisted engineering practices, mentor engineers, participate in architecture and agile delivery, and reduce technical debt.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Lead AI adoption and value realization across the organization as a strategic consultant and product owner. Define and track ROI metrics, guide technology selection and development, coordinate cross-functional teams, manage requirements, launches and continuous improvement, and shape enterprise AI vision and innovation.

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, production deployment) for marketing, creative, media, and commerce. Sell, design, build, and operationalize AI systems, collaborate with creative and strategy teams, and drive measurable business outcomes.

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, model integration) for marketing, creative, media, and commerce. Sell, design, deliver, and operationalize production AI systems, collaborate with creative and media teams, and drive business outcomes. Preferred experience with modern AI/data stacks (GCP, BigQuery, Vertex AI). Based in Bengaluru.

Lead development of generative and multimodal AI systems: design agentic workflows, build and fine-tune transformer models, implement hybrid retrieval and knowledge-graph solutions, deploy scalable model APIs on cloud, collaborate with cross-functional teams, and mentor junior engineers.

Lead development and deployment of production-grade generative AI systems: LLM fine-tuning, multimodal and agentic applications, retrieval and KG-enhanced retrieval, scalable APIs/microservices, cloud MLOps, mentoring engineers, and cross-functional collaboration to deliver knowledge-grounded customer-facing AI solutions.

The role involves developing and managing integration processes using Boomi and Workato for complex business needs in finance and operations.

We are seeking a Senior Developer for automation and analytics projects, focusing on integration processes using Dell Boomi and Workato. Responsibilities include solution development, documentation, and client relationship management in both cloud and on-premise environments.