Gen ai architect

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 Auto Gen, Crew AI, Wren AI, 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 Auto Gen’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 Gen AI, RPA, and Intelligent Process Automation.- Mentor teams on Auto Gen-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/Fast API.Required Skills- Must have: Auto Gen Framework, Crew AI, Wren AI, 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, Chroma DB) 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 Auto Gen, Task Weaver, 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.