Top Artificial Intelligence Jobs in Pune

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.

Develop and implement algorithms to solve complex problems, analyze data using statistical techniques, and collaborate with clients to communicate findings.

Assess and test the bank's internal control framework, identify and investigate control weaknesses, document findings, recommend remediation, and report to stakeholders. Execute control reviews aligned to policies and the Barclays Controls Framework, collaborate with business stakeholders, and apply data analytics and Python tooling to support control activities and automation.

Lead technology risk and controls governance across core platforms, AI, cloud, and emerging technologies. Advise and challenge senior technology leaders, oversee risk assessments, control design and effectiveness, regulatory engagement, enterprise risk integration, and drive modernization of risk tooling, metrics, and remediation prioritization.

Develop and implement digital twin architectures for patient modeling, research AI innovations, mentor junior team members, and contribute to client solutions.

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

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

As a Staff Backend Engineer, you'll design backend architecture for AI governance, ensuring auditability and compliance, while collaborating with engineering teams to enhance product capabilities.

Lead and support internal audits across financial, operational and IT areas; assess risks and control effectiveness, communicate findings to senior stakeholders, and recommend improvements. Perform complex data analysis, influence policy and decision-making, manage or contribute to audit projects, and ensure alignment with regulatory requirements and Barclays standards.

Lead design and delivery of agentic LLM-powered workflows and autonomous agents across GTM systems (Salesforce, Slack). Build RAG/semantic search, orchestration, vector retrieval, evaluation frameworks, CI/CD, and secure AI integrations. Mentor engineers, replace legacy integrations, enforce AI engineering standards, and implement observability, governance, and automation for production-grade enterprise AI.

Lead design, development, training, evaluation, and productionization of scalable ML/AI models using MLOps and CI/CD. Collaborate with data, product, and engineering teams, mentor engineers, enforce ML best practices, and ensure responsible, ethical AI and model monitoring in production.

Lead AI/ML engineering vision and roadmap for healthcare and life sciences. Oversee multiple client engagements, design and deploy scalable production-grade AI solutions (ML, NLP, deep learning, computer vision, LLMs), ensure regulatory readiness, responsible AI practices, and drive adoption and value realization while managing executive client relationships and expanding AI adoption.

Conduct interdisciplinary AI research focused on healthcare, develop and teach related courses, collaborate on complex healthcare data analysis, and secure funding.

Seeking a Product Owner with experience in Java, Python, Springboot, AWS, and Artificial Intelligence to manage product development.

Lead technology vision and architecture for enterprise projects; design cloud-native, data-driven and Generative AI solutions; ensure scalability, security, governance, and engineering excellence; run architecture reviews, POCs, and implementations; evaluate emerging technologies; influence clients via workshops and executive engagements; mentor architects and distributed engineering teams.

The role involves designing, developing, and deploying AI/ML solutions, managing data pipelines, and optimizing AI systems for operational improvements.

The Senior Enterprise Systems Engineer will design and maintain scalable cloud infrastructure, automate processes using IaC with Terraform, drive reliability measures, and ensure collaboration across teams for operational efficiency.

Design, build, and operate agentic LLM-powered workflows, autonomous agents, and RAG/vector retrieval systems. Own end-to-end delivery including CI/CD, IaC, observability, DevSecOps, and Salesforce integrations to productionize enterprise AI for GTM applications.

Design and implement Generative AI solutions to improve operational efficiency. Collaborate with teams to identify opportunities and ensure data governance.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Design, develop, and deploy LLM-powered applications and agentic systems. Build and optimize prompts, implement RAG pipelines with vector DBs, and productionize models using containerization, orchestration, cloud platforms, and CI/CD practices.

The Account Executive will drive national revenue growth for large enterprise accounts, lead complex multi-stakeholder engagements, and build relationships with senior leadership, focusing on digital transformation initiatives in the manufacturing sector.

The Product Manager will lead AI-driven ERP finance automation projects, collaborating with cross-functional teams to define product strategy and deliver scalable solutions while ensuring alignment with customer value and business objectives.

The Engineer - AI Governance will design and develop software solutions, collaborate with teams, ensure quality and security, and drive automation and optimization strategies.

The role involves building AI-native products using Javascript, Typescript, and core OOP languages, with responsibilities including writing maintainable code, deploying applications, and collaborating with teams to improve learning technologies.