[Hiring] Agentic AI Architect @Tiger Analytics Inc.

Role Description

Tiger Analytics is looking for experienced Agentic AI Architect with Gen AI experience to join our fast-growing advanced analytics consulting firm. We are seeking a visionary yet hands-on AI Solutions Architect to define, design, and bootstrap our next-generation Agentic AI architecture. In this role, you will bridge the gap between high-level business strategy and deep technical execution.

• Design scalable, multi-agent AI ecosystems on cloud hyperscalers (Azure, AWS, or GCP).
• Build prototypes, establish design patterns, and conduct rigorous code reviews.
• Partner directly with business executives and engineering teams to transform ambitious AI product visions into production-ready enterprise platforms.

Key Responsibilities

• Architecture & Solution Design (50%)
  • Define the Blueprint: Design robust, secure, and scalable architectures for autonomous and semi-autonomous AI agents, multi-agent orchestration systems, and cognitive workflows.
  • Hyperscaler Implementation: Architect cloud-native AI pipelines leveraging specialized services across Azure, AWS, or GCP.
  • System Orchestration & Memory: Establish architectural patterns for LLM orchestration and semantic memory storage.
  • Integration & Scalability: Ensure seamless integration of AI agents with legacy enterprise systems, APIs, RPA tools, and real-time data streams.
• Hands-on Engineering & Prototyping (30%)
  • Rapid Prototyping: Actively write code to build Proof of Concepts (PoCs) and minimum viable products (MVPs).
  • Code Quality & Governance: Establish production-grade coding standards for AI engineering and conduct deep-dive code reviews.
  • Framework Evaluation: Hands-on evaluation of emerging AI frameworks, tooling, and foundational models.
• Stakeholder Collaboration & Leadership (20%)
  • Translate Business to Tech: Partner with product managers and business stakeholders to translate vague business problems into structured agentic workflows.
  • Technical Advocacy: Act as the subject matter expert on Agentic AI.
  • AI Governance & Safety: Collaborate with Security, Compliance, and Risk teams to architect robust AI guardrails.

Qualifications

• Technical Experience:
  • Cloud Expertise: 5+ years of experience architecting cloud solutions on at least one major hyperscaler.
  • AI/LLM Engineering: 2+ years of direct experience working with Large Language Models (LLMs).
  • Agentic Frameworks: Hands-on proficiency with orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or LangChain.
  • Development Skills: Strong production-grade programming skills in Python, TypeScript, or Java.
  • Data & Search Infrastructure: Proven experience with vector databases and enterprise search engines.
• Leadership & Soft Skills:
  • Bilingual Communicator: Ability to explain complex machine learning or architectural concepts simply.
  • Pragmatic Mindset: Balanced approach between pioneering bleeding-edge AI trends and delivering stable, cost-effective enterprise software.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).

Requirements

• Preferred Certifications:
  • Azure Solutions Architect Expert / Azure AI Engineer Associate
  • AWS Certified Solutions Architect – Professional / AWS Certified Machine Learning – Specialty
  • Google Cloud Professional Cloud Architect / Professional Machine Learning Engineer
• Applicants based in US and Canada are invited to apply.

Benefits

• Significant career development opportunities exist as the company grows.
• Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment.
• High degree of individual responsibility.

Company Description

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.