Postuler

Publié le mois dernier

Lead AI Architect & Delivery Manager

@ Tiger Analytics Inc.

Télétravail au Canada

Télétravail2+ ans d’expérience
Postuler
SIGNAUX

En bref

Tiger Analytics Inc. is hiring a Lead AI Architect & Delivery Manager to serve as technical authority and engagement lead for a client's TPRM AI Assistant project, backfilling a departing AI Lead. The role owns the architecture of a Snowflake Cortex RAG pipeline, leads UAT and offshore engineering pod delivery, and drives AI governance clearance ahead of a tight production launch.

Responsabilités :

  • Own end-to-end architecture of the Snowflake Cortex RAG pipeline
  • Serve as primary technical liaison to client business owners and InfoSec SMEs
  • Lead UAT sessions and convert feedback into prioritized backlog items
  • Own MDD packet and drive AIEC-2 clearance before production
  • Direct daily standups and sprint planning for a 3-person offshore pod

Résumé des exigences :

  • Strong production Python with asyncio, FastAPI and distributed systems experience
  • 2+ years building multi-agent systems with LangGraph, AutoGen, CrewAI or LlamaIndex
  • Structured generation pipelines with Pydantic, Instructor or function schemas
  • Hands-on vector or relational storage such as pgvector, Pinecone or Oracle 23ai
  • Testing and CI/CD for LLM-driven applications

Outils et compétences

Source et dates

Site carrière / système de candidatures · workable

Date publiée par l’employeur
2026-09-28
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauChef d’équipe
DomaineDéveloppement logiciel
Gestion d’équipeOui
Milieu de travailBureau, Chez les clients
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Tiger Analytics Inc.

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.

Description complète de l’entreprise

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.

Abonnés LinkedIn
630 421
Personnes associées sur LinkedIn
6 613
Bureaux déclarés
  • 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
  • 111 Town Square Pl, Jersey City, New Jersey 07310, US
  • 36 Robinson Rd, Singapore, Singapore 068877, SG
  • 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
  • 5151 Headquarters Dr, Plano, Texas 75024, US
  • 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
  • 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
  • 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
  • RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
  • Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
  • 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
  • De Entree 252, Amsterdam, North Holland 1101 EE, NL
Catégories d’activité
  • News
  • Consulting
  • Analytics
  • Advertising
  • Big Data
  • Machine Learning
Autres noms enregistrés
  • Tiger Analytics
  • Tiger Analytics Inc.
Spécialités
  • Machine Learning
  • Predictive Analytics
  • Forecasting
  • Natural Language Processing
  • Computer Vision
  • Cloud Data Platform Engineering
  • Data-as-a-service
  • Lean Data Governance
  • Modern BI & Data Warehousing
  • AI/ML Ops
  • ML Product Engineering
  • Data Engineering
  • Data Modernization
  • and Generative AI
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…

ChampValeur
SecteurBusiness Consulting and Services
Taille5,001-10,000 employees
Siège socialSanta Clara, CA
Type d’organisationPrivately Held
Fondée en2011
SpécialitésMachine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Offres sur Jobsy81
LinkedInVoir la page
Description

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.

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    2+ ansCandidates need strong production Python experience, including asyncio and FastAPI, and at least two years building multi-agent AI systems with LangGraph, AutoGen, CrewAI or LlamaIndex. They also need experience with structured LLM outputs, vector databases, and testing of LLM-driven applications.

    Snowflake Cortex, LangGraph, AutoGen, CrewAI, LlamaIndex, FastAPI

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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