Senior AI Architect - Gen AI & Agentic AI

Northern Base
Dallas, TX, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$102,675.0 - $171,125.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Computing Security Continuous Integration Distributed Systems Github Python (Programming Language) Performance Tuning Tensorflow
+21 more
Pytorch Large Language Models Multi-Agent Systems Prompt Engineering Model Validation Generative AI Fastapi Event Driven Architecture AI Platforms Scikit Learn Kubernetes Information Technology Apache Kafka Machine Learning Operations Virtual Agents Api Design Restful APIs Terraform GPT Docker Microservices

Job description

Electrical Technician with experience in a metals Rolling facility needed for well established global manufacturing company This Jobot Job is hosted by: Joseph Calabrese Are you…

  • 5 days ago +

Requirements

  • Agentic AI Architecture & Solution Design
  • GPT, Gemini, Claude & Llama
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering & Optimization
  • LLM Fine-Tuning & Model Evaluation
  • LangGraph / LangChain
  • AutoGen / CrewAI / Semantic Kernel / Google ADK
  • Multi-Agent Systems & Intelligent Automation
  • AI Platforms & Reusable AI Services
  • Vector Databases & LLM Orchestration
  • Python Development
  • Java Development
  • FastAPI & REST APIs
  • Microservices Architecture
  • Event-Driven Architecture
  • Kafka & Distributed Systems
  • API-First Architecture
  • TensorFlow / PyTorch / Scikit-Learn
  • MLOps & LLMOps
  • Azure OpenAI
  • Google Vertex AI
  • AWS Bedrock
  • Kubernetes & Docker
  • GitHub & CI/CD
  • Terraform & Cloud Security
  • AI Governance & Responsible AI
  • Model Risk Management
  • AI Security Guardrails & Observability
  • Enterprise AI Strategy, Standards & Roadmaps

Preferred Experience:

  • Experience building enterprise AI platforms, AI Factories, or Agent Marketplaces
  • Experience delivering GenAI, RAG, multi-agent, and intelligent automation solutions
  • Experience with banking, wealth management, payments, capital markets, treasury, risk, compliance, KYC, AML, or fraud
  • Experience leading AI initiatives across business, operations, and technology functions
  • Experience taking AI solutions from concept through production
  • Strong understanding of AI governance and Responsible AI practices in regulated financial institutions
  • Experience with model risk management, security, compliance, and AI observability
  • Experience leading global architecture and engineering teams
  • Strong executive stakeholder management and communication skills
  • Experience mentoring architects and engineering teams on AI best practices

Education: Bachelor’s Degree in Computer Science, Artificial Intelligence, Engineering, or related field preferred. Tech Stack: Generative AI | Agentic AI | GPT | Gemini | Claude | Llama | RAG | Prompt Engineering | Fine-Tuning | LLM Evaluation | LangGraph | LangChain | AutoGen | CrewAI | Semantic Kernel | Google ADK | Python | Java | FastAPI | REST APIs | Microservices | Kafka | Event-Driven Architecture | Distributed Systems | TensorFlow | PyTorch | Scikit-Learn | MLOps | LLMOps | Azure OpenAI | Google Vertex AI | AWS Bedrock | Kubernetes | Docker | GitHub | CI/CD | Terraform | Cloud Security | AI Governance | Responsible AI | Model Risk Management | AI Observability | Banking AI | KYC | AML | Fraud | Payments | Wealth Management

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