AI Expert/Architect

Trident Consulting•Dallas, TX
•Remote

About The Position

Trident Consulting is seeking an AI Expert/Architect for one of our clients in a REMOTE position. This is a 1-year contract role with the possibility of extension, paying $80/hr on W2. The role involves architecting and building enterprise-grade Generative AI applications, designing agentic systems, building fault-tolerant orchestration, driving reference architectures, establishing LLM/agent evaluation frameworks, and owning full feature development. The ideal candidate will write and review clean, high-quality code, set best practices for AI tooling, mentor engineers, and use AI tools in their daily workflow.

Requirements

  • 15+ years of experience building large-scale distributed systems, platforms, or enterprise applications.
  • Proven track record shipping production AI/LLM-powered applications — agentic workflows, RAG systems, or intelligent automation.
  • Deep expertise in Generative AI: LLMs (OpenAI), Prompt Engineering, RAG, vector search, and AI agent orchestration.
  • Hands-on experience with agent frameworks: LangChain, LangGraph, AutoGen, or equivalent.
  • Frontend and backend background to integrate AI solutions end-to-end into existing applications.
  • Strong software engineering fundamentals: system design, algorithms, testing, debugging, and code review.
  • Demonstrated ability to lead technical direction and mentor engineers.
  • Comfort in ambiguous, fast-moving problem spaces where best practices are still emerging.
  • BS, MS, or PhD in Computer Science, Engineering, or equivalent practical experience.

Nice To Haves

  • UI Architect (ReactJS)
  • Agentic AI (Lang graph , Lang chain)
  • NodeJS

Responsibilities

  • Architect and build enterprise-grade Generative AI applications combining LLMs, retrieval, structured data, orchestration, and workflow automation.
  • Design agentic systems and multi-step reasoning workflows using LangGraph or equivalent — with clear control over state, memory, tool invocation, and human-in-the-loop checkpoints.
  • Build fault-tolerant orchestration for long-running AI workflows using Temporal or similar platforms.
  • Drive reference architectures for model routing, prompt versioning, observability, experimentation, and safe production rollout.
  • Establish LLM/agent evaluation frameworks — offline evals, regression suites, trace diagnostics, and quality metrics tied to business outcomes.
  • Own full feature development across design, implementation, testing, shipping, and servicing.
  • Write and review clean, high-quality code with a focus on performance, scalability, and maintainability.
  • Set best practices for AI tooling, service observability, alerting, and incident response.
  • Mentor engineers across the team and foster a culture of technical excellence and continuous learning.
  • Use AI tools in your daily workflow and advocate evolving best practices to the broader team.
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