AI & Data Engineering Architect
Depository Trust & Clearing Corporation (DTCC)20 hours ago
Hyderābād, IndiaStaff+
Responsibilities
- Lead the architecture, design, and implementation of enterprise-scale agentic AI platforms and intelligent automation solutions.
- Define AI/ML architecture strategies, reference architectures, standards, governance, and best practices across data, model, infrastructure, and governance layers.
- Design multi-agent systems, RAG solutions, semantic search platforms, vector database architectures, and agentic workflows.
- Integrate LLM-powered applications with Azure OpenAI, AWS Bedrock, and other enterprise AI services.
- Architect scalable data ingestion, transformation, orchestration, and analytics platforms using Snowflake, Apache Iceberg, dbt, and Airflow.
- Establish model lifecycle management, experimentation, deployment, monitoring, observability, evaluation, prompt management, and responsible AI standards.
- Define enterprise AI security controls covering authentication, authorization, access control, data protection, and model governance.
- Lead AI platform modernization using containerization, orchestration, and cloud-native deployment architectures.
- Collaborate with business leaders, product owners, engineering teams, and data engineering teams to identify opportunities and deliver scalable solutions.
- Provide architectural oversight, mentor technical teams, lead proof-of-concepts and technology evaluations, and influence AI platform roadmaps.
Requirements
- Deep expertise in agentic AI architectures, multi-agent collaboration frameworks, and autonomous workflow orchestration.
- Strong experience building enterprise-grade RAG systems, semantic search solutions, vector databases, and knowledge retrieval platforms.
- Advanced proficiency in Python, LangGraph, AutoGen, LlamaIndex, and cloud AI platforms.
- Extensive experience with Snowflake, Apache Iceberg, distributed data engineering, and large-scale enterprise data ecosystems.
- Expertise in MLOps, MLflow, Kubernetes, Docker, and production AI deployment patterns.
- Strong understanding of AI governance, model security, compliance, privacy, and responsible AI principles.
- Experience designing highly scalable, resilient, and secure AI platforms for enterprise-wide adoption.
- Experience with OAuth, role-based access control, Model Context Protocol integration, tool orchestration, agent testing, model monitoring, and AI safety.
Benefits
- Competitive compensation including base pay and annual incentive, plus health and life insurance, well-being benefits, pension or retirement benefits, paid time off, and personal/family care leave.
- Flexible hybrid schedule with three days onsite and two days remote; onsite days include Tuesdays, Wednesdays, and a third team- or employee-specific day.
- Professional development investment, internal community support, and reasonable accommodation for qualified individuals with disabilities.
Tech Stack
Categories
About Depository Trust & Clearing Corporation (DTCC)
Depository Trust & Clearing Corporation (DTCC) runs global post-trade market infrastructure, delivering clearing, settlement, securities depository, trade reporting, and data services for broker-dealers, banks, and asset managers. It provides these services through subsidiaries such as DTC, NSCC, FICC, and the Global Trade Repository, with revenue primarily from transaction and service fees. Founded in 1973 and headquartered in Jersey City, NJ, DTCC is industry-owned and privately held, serving markets across multiple regions.