AI Pipeline Expert (PEGA Workflow & AI Integration) Job Title: AI Pipeline Expert - PEGA Workflow Integration

Experience: 10 Years

Location: Hyderabad / Bangalore / Chennai

Employment Type: Full-Time

Role Overview We are seeking an experienced AI Pipeline Expert with strong expertise in PEGA workflow automation, AI/ML pipeline design, Generative AI integration, and enterprise-scale orchestration. The ideal candidate will be responsible for designing, implementing, and optimizing AI-powered workflows within PEGA platforms, enabling intelligent decision-making, process automation, and seamless integration of AI services across business applications.

Key Responsibilities

- Design and develop end-to-end AI pipelines integrated with PEGA workflows and case management systems.
- Architect AI-enabled business processes leveraging PEGA, Machine Learning, Predictive Analytics, and Generative AI technologies.
- Integrate large language models (LLMs), NLP solutions, and AI agents into PEGA applications.
- Develop scalable data ingestion, transformation, model deployment, and monitoring pipelines.
- Implement AI-driven decisioning frameworks using PEGA Decision Hub and AI services.
- Collaborate with business stakeholders to identify automation opportunities and convert them into AI-enabled workflow solutions.
- Design orchestration frameworks connecting PEGA workflows with external AI platforms, APIs, and enterprise applications.
- Establish MLOps practices for model deployment, monitoring, governance, and lifecycle management.
- Ensure compliance with enterprise security, privacy, and responsible AI standards.
- Optimize performance, reliability, and scalability of AI workflows in production environments.
- Provide technical leadership, architecture guidance, and best practices for AI-enabled PEGA implementations.

Required Skills

- Robust experience in PEGA Platform, PRPC, Case Management, and Workflow Automation.
- Expertise in AI/ML pipeline development and orchestration.




- Experience with Generative AI, LLMs (Azure OpenAI, OpenAI, Anthropic, Gemini, etc.).
- Hands-on experience with Python, REST APIs, and microservices architecture.
- Experience with Azure AI Services, Azure Machine Learning, or equivalent cloud AI platforms.
- Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring frameworks.
- Expertise in data integration technologies and ETL/ELT pipelines.
- Strong understanding of PEGA Decisioning, Business Rules, and AI-powered recommendation engines.
- Experience with Vector Databases, RAG architectures, and AI Agent frameworks.
- Familiarity with Kafka, Event-Driven Architectures, and workflow orchestration tools.
- Excellent problem-solving, stakeholder management, and communication skills.

Preferred Qualifications

- PEGA Certified Lead System Architect (CLSA) or Senior System Architect (CSSA).
- Experience implementing AI-enabled case management and customer service solutions.
- Exposure to Banking, Financial Services, or Insurance domains.
- Experience with Responsible AI, AI Governance, and Model Risk Management frameworks.
- Knowledge of LangChain, Semantic Kernel, Prompt Engineering, and Agentic AI frameworks.

Key Discussion Areas for Interview

- AI pipeline architecture design for enterprise applications.
- Integration of Generative AI with PEGA workflows.
- AI-driven decisioning and automation within PEGA Decision Hub.
- MLOps strategy, model deployment, and monitoring.
- RAG architecture and AI Agent implementation.
- Performance, scalability, governance, and security considerations.
- Real-world use cases of AI-enabled workflow transformation.

Nice to Have

- Experience with multi-agent AI systems.
- Azure Databricks and Data Engineering exposure.
- Conversational AI and Intelligent Document Processing (IDP).
- Event streaming platforms such as Kafka and Azure Event Hub.

Primary Objective: Enable intelligent PEGA workflows through scalable AI pipelines, AI agents, and Generative AI capabilities that enhance business process automation, customer experience.

📌 Technical Specialist (India)
🏢 HCL Technologies
📍 India