Agentic AI Developer

We are seeking a Software Engineer specializing in Agentic AI to design, build, and deploy intelligent AI agents leveraging Azure AI Foundry. The role focuses on developing scalable, production-grade multi-agent solutions that automate business processes and accelerate enterprise AI adoption.

This engineer will work across the full lifecycle-from solution design and model integration to deployment, orchestration, and optimization of AI agents in cloud-native environments., Design and develop AI agents and multi-agent systems using Amazon Bedrock or Azure AI Foundry / Agent frameworks Build agent-driven workflows to automate enterprise processes and orchestrate tasks across systems Integrate LLMs, APIs, enterprise data sources, and external services into agent architectures Develop RAG-based and conversational AI solutions using modern GenAI frameworks Implement scalable, cloud-native applications using microservices and serverless patterns Collaborate with architects and domain teams to translate business requirements into AI-driven solutions Ensure secure, compliant, and responsible AI implementations (governance, explainability, monitoring) Build reusable frameworks, SDK integrations, and automation pipelines for agent deployment Optimize agent performance, latency, and cost across cloud environments Contribute to CI/CD pipelines, testing, and production deployment of AI solutions

5+ years in software engineering with strong experience in cloud-native development

Hands-on experience with: Azure AI Foundry / Azure OpenAI AI agent frameworks (e.g., Autogen, Semantic Kernel, LangChain, Agent SDKs)

Strong programming expertise in: Python (preferred) or Java

Experience building: REST APIs, microservices, event-driven architectures

Familiarity with: LLMs, prompt engineering, RAG architectures Multi-agent orchestration and workflow design

Experience with cloud services: Azure (Functions, Storage, DevOps, Service Bus) OR AWS equivalents Knowledge of CI/CD, DevOps, and containerization (Docker/Kubernetes) Experience integrating enterprise systems (APIs, databases, SaaS platforms) Preferred Qualifications

Experience building multi-agent platforms or autonomous workflows Exposure to AI governance, safety, and responsible AI practices Familiarity with agent-to-agent communication and orchestration protocols Experience in building GenAI-enabled user interfaces (React or similar) Certifications in Azure AI / AWS AI / Cloud Architect roles Key Competencies

Strong problem-solving and system design skills Ability to translate business use cases into AI-driven architectures Collaboration across cross-functional teams (engineering, data, business) Focus on performance, scalability, and production readiness

Mandatory Skills: Fullstack Java Enterprise .

Experience: 8-10 Years .

Pulled from the full job description

• Health insurance
• Paid time off
• Dental insurance
• Disability insurance, The expected compensation for this role ranges from $80,000 to $158,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.