Head of AI Engineering & Architecture

0 years

0 Lacs

Posted:1 week ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

Logikality

We are looking for a founding-caliber AI leader who is not looking for a job, but a venture. You will write the core code, shape the platform architecture, set the engineering standards, and own the technical vision from Day 1.

What You Will Build:

1) Core AI Platform Architecture

  • Design and implement the end-to-end AI architecture powering our mortgage automation platform
  • Make foundational decisions across orchestration, data flows, storage, compute, and security
  • Establish engineering standards for performance, reliability, and maintainability

2) Document Intelligence + Decisioning

  • Build systems for document ingestion, classification, extraction, and validation at scale
  • Implement decision-ready outputs with strong grounding, citations, and audit trails
  • Define evaluation frameworks: golden datasets, regression suites, accuracy thresholds, and error taxonomy

3) LLM + Agentic Workflows

  • Integrate, fine-tune, and operationalize LLMs for analysis, exception handling, and compliance checks
  • Build autonomous, multi-step agents with human-in-the-loop patterns where judgment matters
  • Implement guardrails: policy checks, hallucination controls, and confidence-driven routing

4) Scalability, Security, and Compliance-by-Design

  • Build secure, scalable systems suitable for financial workflows (observability, access control, data governance)
  • Drive production readiness: monitoring, incident response, latency/throughput targets, and cost controls
  • Ensure the architecture is compliant-ready with traceability and defensibility baked in

Who You Are:

A Builder First

  • You are happiest when your IDE is open. You architect, you code, you ship.
  • You take pride in production-grade engineering: testing, reviews, performance, and reliability.

AI-Native Engineering Depth

  • Strong hands-on experience in Python and modern AI stacks
  • Comfortable with vector databases, RAG, structured extraction, and agentic orchestration
  • Familiar with frameworks such as LangChain, AutoGen (or equivalent), and evaluation/monitoring tooling

High Ownership, High Clarity

  • You thrive in ambiguity and move fast with clear milestones and measurable outcomes
  • You can translate messy real-world workflows into robust systems

Domain-Agnostic, Fast Learner

  • Mortgage experience is optional. Learning speed is not.
  • You can internalize domain logic quickly and encode it into deterministic workflows and AI systems.

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