About the CompanyBirlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.•About the Role:This role is designed for a technical leader who will architect, implement, and scale AI-driven process automation, intelligent workflow mining, and task orchestration using AutoGen, CrewAI, WrenAI, and Azure AI. The architect will drive enterprise-grade AI platform development, ensuring seamless integration of structured (SQL) and unstructured data (images, videos, logs, etc.) while leveraging LLMs, process mining, RPA, Data Science and AI/ML techniques for automation, scalability, and decision intelligence.The architect will drive enterprise-grade AI platform development, ensuring seamless integration of structured (SQL) and unstructured data (images, videos, logs, etc.) while leveraging LLMs, process mining, RPA, Data Science and AI/ML techniques for automation, scalability, and decision intelligence.Responsibilities- Architectural Design: - Define AI-powered process automation blueprints and agentic AI frameworks. - Design scalable, secure, and high-performance architectures for AI-first process mining and discovery. - Establish LLM-based active learning pipelines for continuous improvement and adaptability. - - Implementation and Development: - Lead the development of AI-driven workflow automation using AutoGen’s inter-agent collaboration. - Build process intelligence layers to optimize execution, anomaly detection, and decision automation. - Develop and deploy RPA-enhanced AI agents for business process transformation. - - Integration and Testing: - Integrate Azure AI Search, Vector DBs, and Intelligent Process Automation to extract insights from enterprise data. - Implement multi-modal AI pipelines handling structured and unstructured inputs for dynamic processing. - Optimize AI-driven anomaly detection for automated error resolution and predictive analytics. - - Optimization and Performance Tuning: - Leverage ML-driven process mining for automated workflow discovery, execution efficiency, and intelligent recommendations. - Implement continuous AI learning cycles to improve accuracy and execution speed over time. - Optimize end-to-end process intelligence dashboards using advanced NLP and BI visualizations. - - Documentation and Knowledge Sharing: - Develop comprehensive architectural documentation for AI-driven process intelligence solutions. - Lead knowledge-sharing initiatives to align teams on best practices in GenAI, RPA, and Intelligent Process Automation. - Mentor teams on AutoGen-based AI workflow orchestration and scalable AI agent development.Qualifications- 12-14 years in AI platform engineering, process automation, and intelligent systems development. - 5+ years recent leading AI-powered enterprise automation projects using Python, Flask/Django/FastAPI.Required Skills- Must have: AutoGen Framework, CrewAI, WrenAI, Task Automation Agents, and Process Intelligence Systems. - Must have: Deep experience in AI-driven Process Discovery, Mining, and RPA Integration. - Must have: Azure AI Search, Vector DBs for process intelligence, and AI-powered workflow automation. - Must have: Hands-on expertise in SQL, unstructured data processing, and AI-based data curation pipelines. - Expertise in building ML/AI pipelines leveraging Azure Synapse, AI Search, and LLM-based analytics. - Experience designing vector databases (Pinecone, FAISS, Weaviate, ChromaDB) and AI-powered workflow models. - Deep expertise in AI/ML-powered business process modeling for task orchestration and intelligent automation. - Knowledge of Azure Form Recognizer, OCR for intelligent document processing, and NLP-driven automation. - Hands-on experience with AutoGen, TaskWeaver, RAG, RLHF, and process-driven AI workflow automation. - Strong communication, architecture sketching, and AI-driven platform development expertise.Preferred Skills- Experience with additional AI frameworks and tools. - Familiarity with cloud-based solutions and architectures.
Job Title
Gen AI Architect