Senior Generative AI Engineer / Architect

Appathon; Plano (TX); On-site; USD 76,000 - 83,000; Full time

Job summary

Appathon in Plano, TX, is seeking a Senior Generative AI Engineer/Architect to design and deploy enterprise AI solutions. You will lead the development of LLM-powered applications, RAG pipelines, vector search, and AI agent workflows, collaborating with cross-functional teams to bring prototypes into production.

Ideal candidates have 5+ years in AI engineering, strong Python/SQL skills, and experience with major AI platforms. On-site work four days a week in Plano is required.

Qualifications

• 5+ years of experience in AI engineering, machine learning, data science, data engineering, or related technical fields.
• Strong proficiency in Python and SQL.
• Hands-on experience developing LLM applications, RAG systems, vector search solutions, and AI-enabled workflows.
• Experience with AI/ML frameworks, libraries, and model APIs.
• Familiarity with platforms such as Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks, or Hugging Face.
• Strong understanding of data pipelines, model experimentation, and AI solution development.
• Excellent analytical, problem-solving, communication, and documentation skills.

Responsibilities

• Design and develop AI/ML solutions and Generative AI applications for enterprise use cases.
• Build LLM-powered applications, RAG pipelines, vector search solutions, and agentic AI workflows.
• Develop and validate proofs of concept (POCs) using Python, AI SDKs, and model APIs.
• Evaluate emerging AI technologies, frameworks, and model performance.
• Collaborate with engineering, architecture, data, and business teams to transition validated prototypes into scalable production solutions.
• Contribute to AI architecture decisions involving model selection, cloud infrastructure, APIs, security, and deployment.
• Develop reusable data pipelines and integrate AI solutions with enterprise applications and data platforms.

Skills

Python

SQL

LLMs

RAG

Vector search

AI agents

AI frameworks

Education

Bachelor's degree

Tools

Azure AI

OpenAI

Anthropic

AWS Bedrock

Databricks

Hugging Face

Job description

Location

Job Type

55.00 - 60.00

Deadline

Not specified

Education

Bachelor

Experience

About the Role

Now Hiring: Senior Generative AI Engineer / Architect

Position Overview

The ideal candidate will possess strong hands-on expertise in Generative AI, machine learning, Python, SQL, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search, and AI agents. This role requires a combination of software engineering proficiency, AI solution architecture, rapid prototyping, and enterprise AI integration experience.

Key Responsibilities

Design and develop AI/ML solutions and Generative AI applications for enterprise use cases.

Build LLM-powered applications, RAG pipelines, vector search solutions, and agentic AI workflows.

Develop and validate proofs of concept (POCs) using Python, AI SDKs, and model APIs.

Evaluate emerging AI technologies, frameworks, and model performance.

Collaborate with engineering, architecture, data, and business teams to transition validated prototypes into scalable production solutions.

Contribute to AI architecture decisions involving model selection, cloud infrastructure, APIs, security, and deployment.

Develop reusable data pipelines and integrate AI solutions with enterprise applications and data platforms.

Required Qualifications:-

5+ years of experience in AI engineering, machine learning, data science, data engineering, or related technical fields.

Strong proficiency in Python and SQL.

Hands-on experience developing LLM applications, RAG systems, vector search solutions, and AI-enabled workflows.

Experience with AI/ML frameworks, libraries, and model APIs.

Familiarity with platforms such as Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks, or Hugging Face.

Strong understanding of data pipelines, model experimentation, and AI solution development.

Excellent analytical, problem-solving, communication, and documentation skills.

Preferred Qualifications:-

Experience with MLOps, LLMOps, model evaluation, monitoring, and responsible AI practices.

Knowledge of agentic AI, multi-agent systems, workflow orchestration, and model fine-tuning.

Experience designing scalable cloud-based AI architectures and production-ready enterprise solutions.

Relevant AI, cloud, or data engineering certifications.

Work Arrangement: Candidates must be comfortable working on-site in Plano, Texas, four days per week.

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Requirements

Required Qualifications:-

5+ years of experience in AI engineering, machine learning, data science, data engineering, or related technical fields.

Strong proficiency in Python and SQL.

Hands-on experience developing LLM applications, RAG systems, vector search solutions, and AI-enabled workflows.

Experience with AI/ML frameworks, libraries, and model APIs.

Familiarity with platforms such as Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks, or Hugging Face.

Strong understanding of data pipelines, model experimentation, and AI solution development.

Excellent analytical, problem-solving, communication, and documentation skills.

Preferred Qualifications:-

Experience with MLOps, LLMOps, model evaluation, monitoring, and responsible AI practices.

Knowledge of agentic AI, multi-agent systems, workflow orchestration, and model fine-tuning.

Experience designing scalable cloud-based AI architectures and production-ready enterprise solutions.

Relevant AI, cloud, or data engineering certifications.

Work Arrangement: Candidates must be comfortable working on-site in Plano, Texas, four days per week.

Skills