AI Architect

Robotic Process Automation LLC

Dallas (TX)

On-site

USD 180,000 - 240,000

Full time

19 hours ago
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Job summary

Robotic Technologies Automation seeks a senior AI Architect to translate business needs into agent-driven solutions. You will design RAG-based agents, leverage LangGraph/AutoGen, and collaborate with stakeholders to identify high‑impact use cases across automation and decision support.

You will guide enterprise deployment, ensure scalability and cost efficiency, and establish guardrails for safety and compliance in a cloud environment.

Qualifications

  • Deep expertise in LLMs, prompt engineering, and reasoning frameworks.
  • Hands‑on experience with agentic frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel).
  • Strong understanding of RAG, embeddings, vector databases, and knowledge grounding.
  • Experience with fine‑tuning techniques (LoRA/QLoRA) and evaluation strategies.
  • Proficiency in Python and familiarity with enterprise integration patterns.
  • Experience with cloud platforms (Azure, AWS, GCP) and secure enterprise deployments.

Responsibilities

  • 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 and roadmaps.
  • Architect RAG‑based and tool‑augmented agents using enterprise data sources and APIs.
  • Ensure scalability, observability, and cost optimization of agent platforms.
  • Establish AI guardrails covering safety, bias, explainability, auditability, and regulatory compliance.

Skills

LLMs & prompt engineering
Reasoning frameworks
Python
RAG & embeddings
Cloud platforms
Enterprise integration
LoRA/QLoRA tuning

Tools

LangGraph
AutoGen
CrewAI
Semantic Kernel
Custom agent orchestration

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.

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