Haystack
← Back to Jobs
Technology

AI Architect

NOVUS GLOBAL SERVICES LLCChicago, IL🇺🇸United StatesPosted 11 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

AI ARCHITECT

Enterprise AI | Agentic AI | GenAI | LLM Architecture

RoleAI Architect
Core SkillsCore AI & GenAI, Architecture & Design, LLM-driven Workflows, Agentic Frameworks, APIs, Cloud Platforms
Experience12–18+ years (including 3–5+ years in GenAI / LLM-based systems)

ROLE SUMMARY

The AI Architect will define end-to-end agentic AI frameworks, ensure alignment with enterprise architecture, governance, security, and compliance, while partnering with Engineering, QE, Security, and business stakeholders to deliver enterprise-scale AI solutions.

KEY RESPONSIBILITIES

Business & Stakeholder Leadership

  • Translate business problems into agent-driven solution blueprints.
  • Partner with senior stakeholders to identify high-impact AI use cases.
  • Provide executive guidance on enterprise AI adoption and roadmaps.

Architecture & Design

  • Define architectures for single-agent, multi-agent, hierarchical, and tool-using AI systems.
  • Design LLM-driven workflows with reasoning, planning, memory, tools, and human-in-the-loop controls.
  • Architect RAG and tool-augmented AI solutions using enterprise data sources and APIs.

Governance, Risk & Guardrails

  • Establish AI governance for safety, explainability, auditability, bias mitigation, and compliance.
  • Define AI lifecycle management from design through retirement.
  • Develop testing and certification standards for AI systems.

Core AI & GenAI

  • Deep expertise in LLMs, prompt engineering, and reasoning.
  • Hands-on experience with LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar frameworks.
  • Strong knowledge of RAG, embeddings, vector databases, and knowledge grounding.
  • Experience with LoRA/QLoRA and AI evaluation strategies.

Architecture & Engineering

  • Strong background in distributed systems, APIs, microservices, and cloud-native architectures.
  • Proficiency in Python and enterprise integration patterns.
  • Experience leading technical teams.

PREFERRED QUALIFICATIONS

  • Experience with Azure, AWS, or Google Cloud Platform AI platforms.
  • Experience in regulated enterprise environments.
  • Excellent communication and stakeholder management skills.
  • Technical leadership and mentoring experience.

WHY JOIN US

Help shape the future of enterprise AI by building scalable agentic AI solutions that transform business operations across a global organization.

Skills

Microservices
AWS
Azure
Google Cloud
LLM
Python
Stakeholder Management

Similar jobs