AI System Architect

DVG Tech SolutionsContractFeb 20th, 2026

Texas

6 - 8 YearsFeb 20th, 2026

59 ViewsBe an Early Applicant

Required Skillset:

Machine LearningAzureDeep LearningEmbedding ModelsClaude CodeReasoning ModelsAIAWSGCPLangGraphGitHub CopilotNatural Language Processing (NLP)LangMemAgentic Workflow DevelopmentInstruct ModelsSafety ModelsLLM EvaluationPrompt Testing Frameworks

Job Description

Understand the current legacy system and architect, scale Agentic AI systems capable of multi-step reasoning and autonomous action for application modernization.
Define reference architectures for container-based app hosting, memory management (vector DBs), and robust data pipelines.
Lead the product vision for reusable AI modules, including RAG (Retrieval-Augmented Generation), hybrid ML/LLM systems, and standardized evaluation frameworks.
Evaluate and select the LLM stack (models, orchestration frameworks, and observability tools) based on cost, latency, and performance.
Standardize advanced prompting patterns, including chain-of-thought, few-shot templates, and automated chunking strategies to optimize for accuracy and cost.
Drive team productivity by implementing and championing AI-assisted coding workflows (e.g., GitHub Copilot, Claude Code) to accelerate the Development & migration project.
Embed LLM workflows into existing enterprise systems, ensuring seamless interoperability and high-performance output.
Collaborate with security teams to enforce AI safety, data privacy, and ethical AI practices.
Recruit, coach, and lead a high-performing GenAI engineering team, fostering a culture of continuous learning.
Serve as the primary SME for post-sale customer engagements and internal leadership, translating complex AI concepts into actionable business strategies
10+ years of experience in AI/ML engineering with 1+ years in agentic AI and LLM systems
Hands-on development experience using Github Copilot, Claude Code for rapid AI prototyping and implementation
Expertise in any of the cloud platform (AWS / Azure / GCP)Strong proficiency in LangGraph, LangMem, and agentic workflow development.
Experience with reasoning, instruct, safety & embedding models
Extensive experience in LLM evaluation and testing (LangGraph evals, Agent evals, DeepEval, prompt testing frameworks)

Feb 2nd, 2026