AI,Data & Automation Architect

1 week ago


Hyderabad, Telangana, India Birlasoft Full time

About Birlasoft: Birlasoft combines the power of domain, enterprise, and digital technologies to reimagine business processes for customers and their ecosystem. Its consultative and design thinking approach makes societies more productive by helping customers run businesses. As part of the multibillion-dollar diversified CK Birla Group, Birlasoft with its 12,200+ professionals, is committed to continuing the Group's 163-year heritage of building sustainable communities. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. 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. 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. 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. 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. Preferred Skills: Azure AI Search, Vector DBs for process intelligence, and AI-powered workflow automation. Equal Opportunity Statement: Include a statement on commitment to diversity and inclusivity.



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