Role Summary
TheLead AI Architect & Delivery Managerwill serve as the technical authority and engagement lead for the client's TPRM AI Assistant project, backfilling the departing AI Lead. This role is responsible for driving the technical strategy of the Snowflake-native RAG solution, orchestrating the offshore engineering team, interfacing directly with FCB leadership (ED&A, TPRO, InfoSec SMEs), and ensuring the solution meets its tight production launch milestone.
Key Responsibilities
- Technical & Strategic Leadership:Own the end-to-end architecture of the Snowflake Cortex RAG pipeline, ensuring alignment with Enterprise TPRM Standards
- Client & Stakeholder Management:Act as the primary technical liaison to the client's business owners, AI leads, and InfoSec SMEs.
- UAT Execution & Triage:Lead User Acceptance Testing (UAT) sessions with InfoSec SMEs, converting user feedback into prioritized technical backlog items for the offshore pod.
- AI Governance & Compliance:Own the preparation of the Model Development Documentation (MDD) packet and drive AIEC-2 (Effective Challenge Tier 2) clearance ahead of production deployment.
- Delivery Oversight:Direct daily agile standups and sprint planning for the 3-person offshore pod to ensure milestone delivery within the SOW budget.
- Hands-on Python Expertise: Strong Production Python development, with deep experience in Asyncio, FastAPI, design patterns, and distributed systems.
- Agentic Framework Engineering: 2+ years of direct, hands-on experience building, deploying, and debugging autonomous multi-agent systems in production using LangGraph, AutoGen, CrewAI, or LlamaIndex.
- Function Calling & Structured Outputs: Proven ability to build structured generation pipelines (using Pydantic, Instructor, or native function schemas) to bridge LLMs with traditional software APIs.
- Vector & Relational Storage: Hands-on experience with databases such as PostgreSQL/pgvector, Pinecone, Qdrant, Milvus, or enterprise AI DBs (Oracle 23ai).
- Testing & CI/CD for AI: Experience writing unit tests, integration tests, and regression evaluations for probabilistic, LLM-driven applications.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Lead AI Architect & Delivery Manager in Ottawa employer: Tiger Analytics Inc.
At Tiger Analytics, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. As a Retail Supply Chain Analytics Expert, you will not only have the opportunity to lead impactful projects but also benefit from continuous professional development and mentorship in a supportive environment. Located in a vibrant city, our team enjoys a flexible work-life balance and access to cutting-edge analytics tools, making it an ideal place for those looking to advance their careers in analytics.
