AI Engineer

Senior Generative AI Engineer / Architect

BILL RATE 60-70

Division: Engineering Location: Plano Texas Employment Type: Contract (1 Year) Work Model: Hybrid (4 Days On-site per Week) Experience Required: 5 Years

Position Summary

We are seeking an experienced Senior Generative AI Engineer / Architect to design develop and prototype AI/ML solutions that solve complex business challenges and deliver measurable business value.

This role combines Generative AI machine learning data engineering and AI solution architecture . The successful candidate will build AI-powered applications develop proofs of concept (POCs) evaluate emerging technologies and collaborate with engineering and architecture teams to transition validated solutions into scalable production systems.

The ideal candidate is a hands-on AI engineer with strong Python and SQL skills experience building LLM applications RAG systems and AI agents and the ability to solve ambiguous technical and business problems.

Key Responsibilities

AI/ML & Generative AI Development

• Design develop and evaluate AI/ML solutions using machine learning data science statistical modeling and Generative AI.

• Build LLM-powered applications Retrieval-Augmented Generation (RAG) systems vector search solutions and agentic AI workflows .

• Develop reusable data pipelines and AI workflows using structured and unstructured data.

• Apply traditional machine learning and advanced AI techniques to improve business processes and operational efficiency.

Rapid Prototyping & Innovation

• Build functional prototypes and POCs using Python AI SDKs and model APIs .

• Design test and optimize AI workflows retrieval systems and agent-based applications.

• Conduct experiments evaluate model performance and validate technical feasibility.

• Research and evaluate emerging AI technologies frameworks and tools.

AI Architecture & Engineering

• Collaborate with engineering teams to transition AI prototypes into production-ready solutions.

• Contribute to architecture decisions involving model selection APIs cloud infrastructure security scalability and deployment .

• Support AI system integration with enterprise applications and data platforms.

• Work with architects product managers data engineers and business stakeholders to align AI solutions with business requirements.

Research & Stakeholder Collaboration

• Monitor developments in Generative AI machine learning and open-source technologies.

• Present technical findings prototypes and recommendations to stakeholders.

• Document AI solutions architectural decisions and implementation approaches.

• Support workshops technical discussions and knowledge-sharing initiatives.

Required Qualifications

• Bachelors degree in Computer Science Data Science Artificial Intelligence Engineering or a related field or equivalent experience.

• 5 years of experience in AI engineering machine learning data science data engineering or related technical roles.

• Strong programming skills in Python and SQL .

• Hands-on experience developing ML models LLM applications RAG pipelines vector search solutions and AI-enabled workflows .

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

• Experience 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 .

• Experience designing scalable AI architectures and deploying solutions in cloud environments.

• Experience with agentic AI multi-agent systems workflow orchestration and fine-tuning .

• Knowledge of enterprise AI integrations APIs and production deployment patterns.

• Experience with enterprise analytics and data engineering solutions.

• Relevant AI cloud or data engineering certifications.

Tools & Technologies

• Programming: Python SQL

• Generative AI: LLMs RAG AI Agents Vector Search Model APIs

• AI Platforms: Azure AI OpenAI Anthropic AWS Bedrock Hugging Face

• Data & ML: Databricks Machine Learning Data Pipelines Statistical Modeling

• Architecture: Cloud Services APIs System Integration Scalable AI Deployment

• Operations: MLOps LLMOps Model Evaluation and Monitoring

Ideal Candidate Profile

The ideal candidate is a hands-on Generative AI Engineer with strong software development and AI/ML expertise. Strong candidates will have experience building LLM applications RAG systems AI agents and production-oriented AI solutions along with the architectural knowledge to design scalable enterprise AI systems.

The candidate should be comfortable experimenting with emerging technologies solving complex business problems and collaborating with technical and business stakeholders to deliver practical AI solutions.