Senior Generative AI Engineer / Architect

Appathon; Plano (TX); Hybrid; USD 83,000 - 90,000; Full time

Job summary

Appathon in Plano, TX seeks a hands-on Senior Generative AI Engineer / Architect to design, develop, and deploy AI/ML solutions, LLM-powered apps, and RAG systems. You will build AI workflows and reusable data pipelines, and integrate AI capabilities with enterprise data platforms.

The role emphasizes production readiness, POCs, collaborating with engineering and business teams, and staying current with emerging AI models and frameworks.

Qualifications

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related field, or equivalent experience.
• 5+ years of experience in AI Engineering, Machine Learning, Data Science, or Data Engineering.
• Hands-on experience with Python and SQL.
• Experience developing LLM applications, RAG pipelines, AI agents, and vector search solutions.

Responsibilities

• Design and develop AI/ML and Generative AI solutions.
• Build LLM applications, RAG pipelines, AI agents, and vector search solutions.
• Develop AI workflows and reusable data pipelines.
• Build and evaluate AI/ML prototypes and proofs of concept (POCs).
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Collaborate with engineering, architecture, and business teams.
• Research emerging AI technologies, models, and frameworks.
• Support scalable AI architecture, deployment, security, and performance optimization.

Skills

AI Agents

Agentic AI

Solution Architecture

ML Frameworks

SDKs & APIs

Cloud Platforms

Azure AI

LLMs

Data Engineering

Python

RAG Pipelines

Vector Search

Education

Bachelor's degree

Job description

Location

Job Type

60.00 - 65.00

Deadline

Not specified

Education

Bachelor

Experience

About the Role

Senior Generative AI Engineer / ArchitectLocation: Plano, TXEmployment Type: Contract – 1 YearWork Model: Hybrid – 4 Days Onsite per WeekExperience: 5+ YearsDepartment: AI Product Research

Position Overview:

We are seeking a hands-on Senior Generative AI Engineer / Architect to design, develop, and implement AI/ML solutions, LLM-powered applications, RAG systems, and AI agents. The ideal candidate will have strong experience in Python, SQL, cloud-based AI platforms, and AI solution architecture, with the ability to develop POCs and transition successful solutions into production environments.

Key Responsibilities:

• Design and develop AI/ML and Generative AI solutions.
• Build LLM applications, RAG pipelines, AI agents, and vector search solutions.
• Develop AI workflows and reusable data pipelines.
• Build and evaluate AI/ML prototypes and proofs of concept (POCs).
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Collaborate with engineering, architecture, and business teams.
• Research emerging AI technologies, models, and frameworks.
• Support scalable AI architecture, deployment, security, and performance optimization.

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in AI Engineering, Machine Learning, Data Science, or Data Engineering.
• Strong hands-on programming experience with Python and SQL.
• Experience developing LLM applications, RAG pipelines, AI agents, and vector search solutions.
• Hands-on experience with AI/ML frameworks, SDKs, libraries, and model APIs.
• Experience with Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks, Hugging Face, or similar platforms.
• Experience working with structured and unstructured data.
• Strong understanding of data pipelines, AI workflows, and model experimentation.

Preferred Qualifications:

• Experience with MLOps, LLMOps, model evaluation, and monitoring.
• Knowledge of agentic AI and workflow orchestration.
• Experience with LLM fine-tuning and model customization.
• Knowledge of responsible AI practices and enterprise system integration.
• Relevant AI, Cloud, Machine Learning, or Data Engineering certifications.

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Requirements

We are seeking a hands-on Senior Generative AI Engineer / Architect to design, develop, and implement AI/ML solutions, LLM-powered applications, RAG systems, and AI agents. The ideal candidate will have strong experience in Python, SQL, cloud-based AI platforms, and AI solution architecture, with the ability to develop POCs and transition successful solutions into production environments.

Key Responsibilities:

Design and develop AI/ML and Generative AI solutions.

Build LLM applications, RAG pipelines, AI agents, and vector search solutions.

Develop AI workflows and reusable data pipelines.

Build and evaluate AI/ML prototypes and proofs of concept (POCs).

Integrate AI solutions with enterprise applications, APIs, and data platforms.

Collaborate with engineering, architecture, and business teams.

Research emerging AI technologies, models, and frameworks.

Support scalable AI architecture, deployment, security, and performance optimization.

Required Qualifications:

Bachelor's degree in Computer Science, Data Science, AI, Engineering, or a related field, or equivalent experience.

5+ years of experience in AI Engineering, Machine Learning, Data Science, or Data Engineering.

Strong hands-on programming experience with Python and SQL.

Experience developing LLM applications, RAG pipelines, AI agents, and vector search solutions.

Hands-on experience with AI/ML frameworks, SDKs, libraries, and model APIs.

Experience with Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks, Hugging Face, or similar platforms.

Experience working with structured and unstructured data.

Strong understanding of data pipelines, AI workflows, and model experimentation.

Preferred Qualifications:

Experience with MLOps, LLMOps, model evaluation, and monitoring.

Knowledge of agentic AI and workflow orchestration.

Experience with LLM fine-tuning and model customization.

Knowledge of responsible AI practices and enterprise system integration.

Relevant AI, Cloud, Machine Learning, or Data Engineering certifications.

Skills

AI Agents & Agentic AI AI Solution Architecture & Prototyping AI/ML Frameworks, SDKs & Model APIs Cloud AI Platforms (Azure AI, OpenAI, AWS Bedrock) Generative AI & Large Language Models (LLMs) Machine Learning & Statistical Modeling Python Programming Retrieval-Augmented Generation (RAG) SQL & Data Engineering Vector Search & Vector Databases