Artificial Intelligence Architect – Senior/Lead

Jobtailor; Arizona; On-site; USD 140,000 - 230,000; Full time

Job summary

Jobtailor is seeking a senior AI Architect to design and deploy end-to-end AI solutions, spanning data ingestion, model training, deployment, and lifecycle management. You will evaluate technologies like DL, NLP, CV, and Generative AI and lead enterprise-wide AI initiatives from PoCs to production deployments.

The role blends hands-on model development with cross-functional coordination and a strategic focus on AI architecture, LLM/RAG pipelines, and modernization across business use cases.

Qualifications

• 5+ years of experience Data Engineering and/or Software Development.
• 5+ years AI hardware and software integration.
• 5+ years enterprise architecture experience.
• 5+ years experience with databases and information architectures.
• 3+ years experience with AI/ML technologies.
• 3+ years of programming languages such as C++, Java, JavaScript, Perl, Python, Visual Basic.
• 3+ years researching large language and generative AI models.
• 10+ years of related work experience or equivalent combination.

Responsibilities

• Design end-to-end AI solutions from data ingestion to deployment and lifecycle management.
• Lead AI initiatives from PoCs to scalable, enterprise-wide production deployments.
• Evaluate and recommend AI technologies including DL, NLP, CV, and Generative AI.
• Lead AI architectures, LLM/RAG pipelines, and agentic workflow orchestration.
• Define AI strategy, roadmaps, and technology standards; balance hands-on work with cross-functional coordination.

Skills

AI Solutions Design

ML Technologies

Cloud Platforms

Data Engineering

Enterprise Architecture

Programming Languages

LLM / Generative AI

Cross-functional Coordination

Tools

AWS

GCP

Azure

SQL

NoSQL

Python

Java

C++

Job description

• Designs end-to-end Artificial Intelligence (AI) solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures
• Leads the development of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production deployments
• Evaluates and recommends AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI
• Leads design of AI architectures, Large Language Model/Retrieval-Augmented Generation (LLM/RAG) pipelines, and agentic workflow orchestration aligned to business use cases
• Defines AI strategy, roadmaps, and technology standards by evaluating emerging AI/ML technologies
• Balances hands-on AI model development with cross-functional coordination

Requirements

• 5+ years of experience Data Engineering and/or Software Development
• 5+ years of experience with Artificial Intelligence (AI) hardware and software integration
• 5+ years of enterprise architecture experience
• 5+ years of experience developing information architectures and working with databases
• 5+ years of experience with Cloud hosted platforms such as AWS, Google Cloud Platform, or Azure
• 3+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies
• 3+ years of experience with modern programming and scripting languages such as C++, Java, JavaScript, Perl, Python, Visual Basic
• 3+ years of experience researching and applying large language and generative AI models
• 10+ years of related work experience or an equivalent combination of education and experience

Core Competencies

Demonstrates expertise in designing and implementing end-to-end Artificial Intelligence solutions, including model training, deployment, and lifecycle management. Proficient in evaluating AI technologies and leading enterprise-wide AI initiatives aligned with business objectives.

Highest-signal resume keywords

• Artificial Intelligence (AI) Solutions Design
• Machine Learning (ML) Technologies
• Cloud Platforms (AWS, Google Cloud Platform, Azure)
• Data Engineering and Software Development
• Enterprise Architecture

Hard Skills

• Data Engineering
• Software Development
• Artificial Intelligence (AI) Integration
• Machine Learning (ML)
• Large Language Models (LLM)
• Generative AI
• Deep Learning
• Natural Language Processing (NLP)
• Programming Languages (C++, Java, JavaScript, Perl, Python, Visual Basic)
• Information Architecture

Industry Keywords

• AI Strategy
• AI Architecture
• Model Training
• Deployment
• Monitoring
• Lifecycle Management
• Proof of Concepts (PoCs)
• Workflow Orchestration
• Emerging AI/ML Technologies
• Cross-Functional Coordination