AI ML Architect

Role Overview: At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you workwhether it's from the office, your home, or a mix of bothso you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Key Responsibilities: - Architecture & System Design: - Architect scalable agentic systems using advanced Large Language Models (LLMs) and Small Language Models (SLMs) - Design multi-agent orchestration frameworks for complex, automated workflows - Define context, memory, and state-management architectures for persistent agent interactions - Implement Model Context Protocol (MCP)based integrations across enterprise services - AI & Platform Implementation: - Design and optimize Retrieval-Augmented Generation (RAG) architectures - Build agent solutions using LangChain, LangGraph, Semantic Kernel, Agno, and custom frameworks - Architect and deploy model inference pipelines across cloud, edge, and on-prem environments - Develop fine-tuning strategies for LLMs and SLMs, including domain and task specialization - Lead model compression, quantization, and performance-optimization initiatives - Integration & Enterprise Connectivity: - Architect secure REST, gRPC, and GraphQL APIs for AI platform services - Design event-driven architectures using message buses and webhooks - Implement authentication and authorization systems (SSO, OIDC, token-based security) - Build and govern enterprise connectors (Slack, Jira, Salesforce, ERP/CRM platforms) - Data, Models & Evaluation: - Design data preprocessing and governance pipelines (cleaning, deduplication, PII handling) - Architect embedding generation, re-indexing, and retrieval optimization workflows - Define chunking, windowing, and content processing strategies - Establish model evaluation, benchmarking, and selection frameworks Qualification Required: - 8+ years of experience in software engineering, data, or AI systems - 2+ years of hands-on experience with Generative AI and LLM-based solutions - 4+ years of experience designing and architecting enterprise-scale platforms and distributed systems Additional Details of the Company: At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs, and skill-building opportunities to help you succeed. We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported. Role Overview: At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you workwhether it's from the office, your home, or a mix of bothso you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Key Responsibilities: - Architecture & System Design: - Architect scalable agentic systems using advanced Large Language Models (LLMs) and Small Language Models (SLMs) - Design multi-agent orchestration frameworks for complex, automated workflows - Define context, memory, and state-management architectures for persistent agent interactions - Implement Model Context Protocol (MCP)based integrations across enterprise services - AI & Platform Implementation: - Design and optimize Retrieval-Augmented Generation (RAG) architectures - Build agent solutions using LangChain, LangGraph, Semantic Kernel, Agno, and custom frameworks - Architect and deploy model inference pipelines across cloud, edge, and on-prem environments - Develop fine-tuning strategies for LLMs and SLMs, including domain and task specialization - Lead model compression, quantization, and performance-optimization initiatives - Integration & Enterprise Connectivity: - Architect secure REST, gRPC, and GraphQL APIs for AI platform services - Design event-driven architectures using message buses and webhooks - Implement authentication and authorization systems (SSO, OIDC, token-based security) - Build and govern enterprise connectors (Slack, Jira, Salesforce, ERP/CRM platforms) - D