Lead AI Architect & Delivery Manager
Tiger Analytics Inc. Open · verified Oct 22, 2026 At a glance
Senior AI Engineering role at Tiger Analytics Inc. Remote, United States · no salary stated · we estimate $161,745–$225,300 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Set the Snowflake Cortex RAG design and keep it aligned with Enterprise TPRM Standards
- Serve as the technical contact for client business owners, AI leads and InfoSec specialists
- Run InfoSec user testing, then turn feedback into prioritized work for the offshore team
- Prepare the Model Development Documentation and obtain AIEC-2 clearance before launch
- Lead daily standups and sprint planning for the three-person offshore pod within the SOW budget
What you bring
- Strong production Python skills, including Asyncio, FastAPI, design patterns and distributed systems
- At least two years building and troubleshooting production multi-agent systems with a listed framework
- You can connect LLMs to software APIs through structured outputs using a listed approach
- Hands-on work with vector or relational databases, plus tests and regression evaluations for LLM applications
Who this fits
This senior role suits a hands-on AI engineer who can also lead client engagement and delivery. You’ll guide a three-person offshore pod and work directly with client leadership and InfoSec specialists. The position is remote in the United States.
From the employer
Role Summary
The Lead AI Architect & Delivery Manager will 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.
Requirements
- 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.
Benefits
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.