AI Architect
Why This Role Stands Out
As an AI Architect at QUANTUM TECHNOLOGIES LLC, you will shape the future of AI platforms, gaining valuable experience in cutting-edge technologies and enterprise-wide standards. This remote role is perfect for experienced AI/ML professionals who excel at designing scalable and secure systems and thrive in a collaborative, forward-thinking environment. Apply now to leverage your expertise and contribute to groundbreaking AI advancements.
Quick Overview
Job Description
Job Title: Artificial Inteligence(AI) Architect
Location: Remote
Duration: 10 Months (High Possibility of Extension)
Bill Rate: $86/hr
Job Type: W2 Contract
Client: To Be Discussed Later
Work Authorization:
USC
GC
H1B
OPT-EAD
Roles & Responsibilities:
- Define target-state architecture for AIRP, LLM platforms, model hubs, AI gateways, RAG services, agent frameworks, orchestration layers, and model-serving infrastructure.
- Establish enterprise standards for AI SDLC, LLMOps, MLOps, evaluation, release management, operational resilience, and production support.
- Create AWS implementation patterns that align with a cloud-agnostic blueprint and minimize unnecessary vendor lock-in.
- Define standards for Terraform modules, reusable IaC templates, environment strategy, pipeline promotion, approvals, observability, secrets, rollback, and operational controls.
- Guide architecture for secure, scalable, and cost-efficient inference across cloud, hybrid, private, and containerized environments.
- Define guardrail patterns for hallucination mitigation, bias monitoring, harmful-content controls, prompt injection defense, data leakage prevention, and human oversight.
- Lead design reviews for critical AI systems and provide technical assurance to architecture, risk, security, and governance forums.
- Partner with cybersecurity, risk, compliance, legal, audit, product, business, and citizen-development enablement teams.
- Assess emerging AI technologies and recommend adoption based on business value, maturity, risk, cost, portability, and regulatory fit.
Required:
- 5+ years in AI/ML systems, distributed systems, enterprise architecture, or platform engineering.
- Deep experience with LLMs, RAG, embeddings, model serving, AI orchestration, evaluation frameworks, and AI infrastructure.
- Proven track record defining architecture and technical standards across multiple engineering teams.
- Strong AWS cloud architecture experience or comparable hyperscaler depth, with clear ability to design cloud-agnostic AI platform patterns.
- Experience shaping Terraform/IaC standards, DevOps pipelines, secure deployment patterns, observability, resiliency, and platform operating models.
- Ability to influence stakeholders and operate across business, technology, risk, compliance, security, data, and architecture forums.
Equal Opportunity Employer: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.
Skills
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