{"id":2633017,"url":"https://alion.io/job/hcltech-technical-specialist-107","title":"Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":814},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Databricks","optional":true},{"name":"LangChain","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-10-15T16:44:42Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T01:25:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nJob Description: 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 Strong 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 experienc\nKey Responsibilities\nJob Description: 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 Strong 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 experienc\nSkill Requirements\nJob Description: 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 Strong 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. 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