Job Title : Principal Technical Architect (Agentic AI & Fintech)
Locations : Gurugram / Chennai In-Office (4 Days a Week)
Experience : 8 to 12 Years
Core Tech : Multi-Agent Orchestration, Graph RAG, TypeScript/Python, AWS/Kubernetes
The Vision : Designing the "Agentic Brain"
As our Principal Architect, you are the creative force bridging the gap between theoretical AI principles and practical, enterprise-grade financial implementations.
You will not just build features; you will define the Reference Architecture for how autonomous agents plan, reason, and act across complex enterprise workflows. You will design a "self-checking" ecosystem where agents re-query if retrieval fails and collaborate to solve high-stakes financial problems.
Key Architectural Responsibilities :
Agentic Orchestration & Planning :
- Autonomous Workflows : Design multi-agent patterns (e.g., Planner-Worker, Reflexion) where agents use tool-calling to interact with real-world APIs, CRMs, and payment gateways.
- Reasoning Engines : Implement advanced reasoning techniques like Chain-of-Thought and Tree-of-Thought to give models the ability to think through systematic financial problems.
- Memory Systems : Architect long-term and short-term memory layers using vector databases (e.g., Pinecone, pgvector) to ensure agents learn from past successes and failures.
Knowledge Retrieval & RAG 2.0 :
- Graph RAG Integration : Lead the implementation of Knowledge Graphs combined with RAG to provide agents with deep, structured context.
- Dynamic Grounding : Ensure all AI responses are "grounded" in business reality, preventing hallucinations by meticulously engineering the context fed into the models.
Systems & Infrastructure Mastery :
- Full-Stack Blueprint : Own the technical blueprints for a high-performance stack : TypeScript for APIs, React/Next.js for UIs, and Python for the AI core.
- Cloud-Native Scale : Architect highly available, secure platforms on AWS using Kubernetes and Infrastructure as Code (Terraform).
- Performance Engineering : Optimize for ultra-low latency in Voice and Chat AI, managing STT/TTS and LLM deployment budgets for cost and speed.
Leadership & Governance :
- Technical Roadmap : Align the architectural vision with the long-term product strategy and the enterprise AI roadmap.
- Safety & Guardrails : Operationalize "Human-in-the-Loop" checkpoints and hard-coded safety rules to prevent agents from performing unauthorized financial actions.
- FinOps & ROI : Manage token-level cost models and per-run unit economics to ensure the platform remains profitable at scale.
- Mentorship : Act as the "Architect of Architects," mentoring senior engineers and leading deep-dive design reviews.
Required Pedigree & Skills :
- Track Record : Proven experience taking AI or complex SaaS products from POC to scaled production (Fintech/Banking preferred).
- Framework Mastery : Deep hands-on experience with LangChain, LlamaIndex, or Pipecat/Livekit for voice.
- Action Bias : We value "Doers over Talkers." You must be ready to write production-quality "glue code" when necessary.
- Education & Values : We care more about what you have built (side projects, open-source) than your degree.
Why This Role?
- Impact : You are building the "Operating System" for the future of financial services.
- Direct Founder Access : Work directly with founders who have 20+ years of experience at companies like PayPal and Amazon.
- Intensity & Growth : A YC-backed environment with minimal meetings and a focus on pure, high-quality engineering.