Technical Architect - Artificial Intelligence
Summary
Technical Architect to set up and lead an AI Innovation lab/CoE for a large financial institution in Mumbai, architecting and scaling production AI solutions. Core stack spans cloud infra with Terraform and Kubernetes, LLM/RAG/agentic AI frameworks, Python/FastAPI, and data platforms like PostgreSQL, Kafka, and vector DBs.
Role Overview:
We are looking for an experienced Technical Architect to lead the setup of an Innovation lab/CoE for a large financial institution. You will be responsible for architecting and scaling production AI solutions.
Requirements:
- BE/B Tech/MCA in Computer Science, Information Technology, Data Science, or similar engineering disciplines.
- 8 - 12 years of experience in software engineering, with at least 3+ years architecting and scaling production AI solutions as a Tech lead or Tech Architect.
- Prior experience setting up an Innovation lab, CoE or greenfield technology unit inside a bank, exchange, depository or large NBFC.
- 5+ years of hands-on expertise in designing and building highly distributed systems, microservices architectures, event-driven systems, and scalable APIs.
- 3+ years of experience architecting on cloud platforms utilizing modern infrastructure-as-code (IaC) tools like Terraform and container orchestration via Kubernetes.
- 3+ years of experience in AI Platform engineering, distributed systems, or AI(GPU) infrastructure set up on Premises and on Sovereign Cloud.
Core Competencies:
- Strong technical design and architecture credentials on on-premise and Cloud Infra (VPC design, IAM, KMS, networking, cost governance).
- Hands-on software engineering and clean coding mindset.
- Practical depth in modern AI systems: LLM application architecture, RAG, agentic orchestration, model gateways, prompt and context engineering, evaluation and guardrail frameworks.
- Working knowledge of classical ML for anomaly detection, forecasting and pattern recognition.
- Hands-on coding ability in Python (FastAPI or equivalent) and comfort with modern web front-ends (React/TypeScript).
- Expertise in AI and Agentic AI frameworks like PyTorch, TensorFlow, LangChain, Hugging Face.
- Data architecture experience: relational and time-series stores (PostgreSQL/TimescaleDB), streaming and event pipelines (Kafka), analytical stores, graph and vector databases.
- Demonstrated use of AI-assisted and spec-driven development workflows.
- Experience architecting in a regulated environment with security, audit and data residency constraints.
- Experience in designing Data Schemas and handling application with structured and unstructured data.
Skills
- Agentic AI
- AI
- Anomaly Detection
- API
- Cloud
- Data Science
- Distributed Systems
- Event Driven Architecture
- FastAPI
- GPU
- Hugging Face
- IAM
- Infrastructure as Code
- Kafka
- Kubernetes
- LangChain
- LLM
- Machine Learning
- Microservices
- Networking
- PostgreSQL
- Python
- PyTorch
- React
- TensorFlow
- Terraform
- Time Series
- TimescaleDB
- TypeScript
- Vector Databases
- VPC