AI Architect

Quantum Technologies LLC; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced AI Architect to lead enterprise AI initiatives in a leadership capacity. You will translate business problems into agent-driven blueprints and guide executive stakeholders on AI adoption, maturity models, and roadmaps.

You will architect agent systems using enterprise data, APIs, and secure workflows. You will ensure scalability, observability, and cost optimization of AI platforms, while establishing guardrails for safety, bias,

Qualifications

• Deep expertise in LLMs, prompt engineering, and reasoning frameworks.
• Hands-on experience with agentic frameworks, RAG and grounding.
• Strong understanding of cloud-native architectures and deployment patterns.

Responsibilities

• Translate business problems into agentic solution blueprints.
• Partner with executives to identify high‑impact AI use cases.
• Provide guidance on AI adoption, maturity, and roadmaps.
• Architect RAG-based agents using enterprise data, APIs, and workflows.
• Ensure scalability, observability, and cost optimization of AI platforms.
• Establish AI guardrails for safety, bias, explainability, and auditability.
• Collaborate with Risk, Legal, Security, and QE for MRM readiness.
• Drive standards for agent testing, validation, and certification.

Skills

LLMs

Prompt Engineering

Agentic frameworks

Distributed systems

Python

Cloud platforms

PCI/AWS Azure GCP

Tools

LangGraph

AutoGen

CrewAI

Semantic Kernel

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

Business & Stakeholder Leadership

• Translate business problems into agent‑driven solution blueprints.
• Partner with senior stakeholders to identify high‑impact use cases (automation, decision support, quality, operations).
• Provide executive‑level guidance on agentic AI adoption, maturity models, and roadmaps.
• Support client conversations, RFPs, solution pitches, and thought leadership.
• Architect RAG‑based and tool‑augmented agents using enterprise data sources, APIs, and workflows.
• Ensure scalability, resilience, observability, and cost optimization of agent platforms.
• Establish AI guardrails covering safety, bias, explainability, auditability, and regulatory compliance.
• Partner with Risk, Legal, Security, and QE teams to ensure model risk management (MRM) and enterprise readiness.
• Drive standards for agent testing, validation, and certification (functional, non‑functional, and ethical).

Core AI & GenAI

• Deep expertise in LLMs, prompt engineering, and reasoning frameworks.
• Hands‑on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, custom agent orchestration).
• Strong understanding of RAG, embeddings, vector databases, and knowledge grounding.
• Experience with fine‑tuning techniques (LoRA / QLoRA) and evaluation strategies.

Architect ure & Engineering

• Strong background in distributed systems, APIs, microservices, and cloud‑native architect ures.
• Proficiency in Python and familiarity with enterprise integration patterns.
• Experience with cloud platforms (Azure, AWS, GCP) and secure enterprise deployments.
• Knowledge of observability, monitoring, and cost management for AI systems.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.