Solutions Architect

AI/ML Solution Architect Designation: AI/ML Solution Architect Location: Gurugram About Intellect Design Arena Limited Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellect’s revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge. With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. For more information about Intellect, visit Educational Qualification: • B.Tech / M.Tech / MS / Ph.D. in Computer Science, Information Technology, Artificial Intelligence, or a related technical field. • Certifications preferred: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or GCP Professional Cloud Architect. • Research papers, case studies, or significant open source contributions (are preferred) Experience: • Minimum 8–12 years of total professional experience. • At least 4–5 years in architecting enterprise-level AI/ML solutions or large-scale data systems. • Proven experience designing and deploying multi-component AI solutions for government or enterprise environments. Key Responsibilities: Design and implement end-to-end solution architectures embedding AI/ML capabilities into NeGD and allied government applications. Define integration standards, APIs, and interoperability frameworks between AI systems and existing Digital India platforms. Oversee data flow architecture, security, privacy, and Responsible AI implementation across solutions. Architect and oversee integration of AI applications with NeGD’s current enterprise applications and digital platforms. Evaluate and recommend cloud-native and on-premises deployment models in alignment with the client guidelines. Provide architectural leadership, ensuring scalability, maintainability, and compliance with clients technical standards. Collaborate with Data Science, MLOps, and Engineering teams for unified architecture governance. Conduct periodic architectural reviews and provide technical mentoring to development teams. Technical Competencies: Architecture: Microservices and serverless patterns, event-driven and domain-driven design high-level data & model lifecycle architecture Cloud: AWS (Bedrock, SageMaker, Lambda, API Gateway, S3), Azure (OpenAI Service, ML Studio, AKS), GCP (Vertex AI, BigQuery, Cloud Storage), multi-cloud integration & cost optimization. AI Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, LangChain (LLM orchestration), prompt-engineering and responsible AI practices Data & Storage: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), vector databases (Pinecone, Weaviate) for RAG & semantic search Conversational AI & Voice: Speech-to-Text and Text-to-Speech APIs (AWS Transcribe/Polly, Azure Speech), RAG/chatbot pipeline design with vector stores & LLMs Security & Governance: IAM and RBAC across clouds, encryption in transit & at rest, data privacy & AI governance (GDPR, SOC2)