Top Artificial Intelligence Jobs in Hyderabad

The Software Engineer will work on GenAI initiatives, focusing on coding, testing, and deploying cloud solutions, while collaborating on service improvement efforts.

Wells Fargo seeks a Software Engineer for GenAI/Agentic AI projects, involving software design, programming, testing, and debugging, with a focus on cloud technologies and AI systems.

The Senior Software Engineer will lead software development initiatives, design and implement applications using various technologies, mentor staff, and ensure project deliverables meet client needs.

The Senior Software Engineer will lead complex software projects, focusing on development, performance monitoring, and collaboration with engineering teams to optimize Tableau metrics and improve client services.

Lead software engineering initiatives, design and develop enterprise web applications, collaborate with stakeholders, and mentor team members while leveraging strong technical knowledge.

Manage and develop a software engineering team, ensuring adherence to architecture, driving technology strategies, and advocating for agile practices while overseeing project delivery and talent development.

This role involves leveraging AI, automation, cloud engineering, and advanced analytics to drive digital transformation and optimize business operations for clients.

Develop and integrate applications, focusing on Java backend services. Collaborate with teams, write quality code, and enhance product performance.

Design and implement custom applications using Java and Python, build interactive UIs, and utilize AI tools while ensuring compliance with company policies.

Lead the design and development of scalable backend systems, implement AI features, optimize performance, and utilize DevOps for efficient deployment.

As a Senior Software Engineer, you will drive cross-functional projects, build UI components and APIs, and contribute to AI/ML tools development.

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.

The Senior Backend Engineer for AI Governance will develop backend systems to support AI compliance, governance, and visibility for enterprise users, focusing on efficient architecture and implementation.

As an Intermediate Backend Engineer, you'll develop backend features for AI Governance, focusing on compliance tools, automated testing, and collaboration with cross-functional teams.

The Senior SAP Basis Administrator oversees SAP implementations, administration, and database management while enhancing system performance and providing 24/7 client support.

Lead design and delivery of NICE CXone platform solutions, manage and mentor India-based consultant teams, own technical delivery, participate in pre-sales and solution engineering, and ensure quality, training, and operational metrics for CXone projects.

The Lead Software Engineer will design, develop and implement software solutions while mentoring junior engineers and ensuring high software quality in a collaborative environment.

The role involves designing, developing, and maintaining scalable data pipelines and platforms using Python, SQL, AWS, and GCP to transform data into insights, while ensuring application performance and high availability.

The role involves leading a team in developing Java-based software solutions, designing technical architecture, and improving coding practices with AI integration.

Lead architecture and development of data-driven AI applications, focusing on autonomous agents, APIs, and scalable solutions. Mentor teams and innovate in agentic AI technology.

The Java Developer will design, develop, and maintain features on a digital transformation platform, ensuring quality and compliance while collaborating with the team. Responsibilities include writing high-quality code, implementing security measures, troubleshooting, and maintaining documentation.

The Lead Java Developer will design, develop, and maintain solutions on a human-in-the-loop AI/ML platform, ensuring quality and compliance while fostering an agile environment.

Develop and maintain full stack applications integrating AI models and financial datasets. Collaborate with teams to deliver secure, responsive web applications using modern technologies.

Design and develop AI-driven backend systems using Python and GCP. Build scalable APIs, integrate ML models, and deploy solutions in a collaborative environment.

Design and implement the MCP/ACP ecosystem for AI tools, focusing on orchestration patterns, security, and cross-functional collaboration to ensure scalable production operations.