AI Architect

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 90,000 - 128,000; Full time

Job summary

Machine Learning Technologies LLC in Dallas, TX seeks an AI Architect to translate business problems into agent-driven solutions. You will design reference architectures for agentic AI systems, integrate LLMs with tools, and ensure scalable, cost-efficient deployments across Azure/AWS/GCP environments.

Role covers governance, risk guardrails, and advanced GenAI work with a focus on RAG, embeddings, and fine-tuning techniques.

Qualifications

• Deep expertise in LLMs, prompt engineering, and reasoning frameworks.
• Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel).
• Strong understanding of RAG, embeddings, and vector databases.
• Experience with fine-tuning techniques (LoRA / QLoRA) and evaluation strategies.
• Distributed systems, APIs, microservices, and cloud-native architectures.

Responsibilities

• Translate business problems into agent-driven solution blueprints and roadmaps.
• Define reference architectures for agentic AI systems (single-agent to multi-agent).
• Architect RAG-based and tool-augmented agents using enterprise data sources and APIs.
• Ensure scalability, observability, and cost optimization of AI platforms.
• Establish AI guardrails covering safety, bias, explainability, and auditability.

Job description

• Home
• About
• Adaptive AI
• Industries
• Consulting
• Jobs Portal
• Contact Us
• Home
• About
• Adaptive AI
• Industries
• Consulting
• Jobs Portal
• Contact Us

Job Description

Job Overview

Job ID: J55208

Job Title: AI Architect

Location: Dallas, TX

Duration: 12 Months + Extension

Domain Exposure: Aerospace/ Airlines

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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

View All Jobs

Similar Jobs

• Senior Solution Architect - Remote, KS
• MuleSoft Integration Archit... - Saint Louis, MO
• AI Architect - Dallas, TX
• SAP SuccessFactors Employee... - Center Valley, PA
• Data Architect and Lead Dat... - ATLANTA, GA

Job Title: AI Architect

Location: Dallas,TX

Duration: 12 Months

Bill Rate: $79/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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.

Architecture & Design

• Define reference architectures for agentic AI systems (single‑agent, multi‑agent, hierarchical, tool‑using agents).
• Design LLM‑driven workflows integrating reasoning, planning, memory, tools, and human‑in‑the‑loop controls.
• Architect RAG‑based and tool‑augmented agents using enterprise data sources, APIs, and workflows.
• Ensure scalability, resilience, observability, and cost optimization of agent platforms.

Governance, Risk & Guardrails

• Establish AI guardrails covering safety, bias, explainability, auditability, and regulatory compliance.
• Define agent lifecycle management (design, testing, deployment, monitoring, retirement).
• 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.

Architecture & Engineering

• Strong background in distributed systems, APIs, microservices, and cloud‑native architectures.
• 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.

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.

© 2004-2026, Machine Learning Technologies LLC, or its affiliates