Senior Generative AI Engineer / Architect

Cinter Career • Plano, TX

12h • Onsite

About The Position

The Senior Generative AI Engineer / Architect will design, develop, and implement AI and machine learning solutions, with a focus on generative AI, large language models (LLMs), and modern AI technologies. The role uses these technologies to address business challenges, improve operational efficiency, and deliver scalable solutions. The ideal candidate has experience in AI/ML engineering, software development, and cloud technologies, and can translate business requirements into practical technical solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.
• At least 5 years of experience in AI/ML engineering, software engineering, data science, or related technical roles.
• Strong programming skills in Python and SQL.
• Hands-on experience developing AI/ML applications using modern frameworks and libraries.
• Experience with generative AI, LLMs, RAG, vector databases, and AI agent frameworks.
• Familiarity with AI platforms and cloud services such as Azure AI, AWS Bedrock, OpenAI, Anthropic, Google Cloud, or similar technologies.
• Experience with data processing, API integration, and AI application development.
• Understanding of AI solution architecture, cloud deployment, scalability, and system integration.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and collaboration skills, including the ability to work effectively across technical and business teams.

Nice To Haves

• Experience with MLOps, LLMOps, model evaluation, monitoring, or responsible AI practices.
• Experience with agentic AI, workflow orchestration, model fine-tuning, or enterprise AI implementations.
• Relevant certifications in AI, machine learning, or cloud technologies.

Responsibilities

• Design, develop, and implement AI/ML solutions, including generative AI applications, LLM-based systems, and intelligent automation.
• Build and optimize AI models, data pipelines, retrieval-augmented generation (RAG) systems, and AI-powered workflows.
• Develop prototypes and proof-of-concepts to evaluate emerging AI technologies and validate business use cases.
• Design scalable AI solution architectures, including model integration, APIs, cloud infrastructure, and deployment strategies.
• Collaborate with software engineers, data scientists, architects, business stakeholders, and other cross-functional teams.
• Evaluate and implement AI frameworks, tools, and platforms to improve solution performance, reliability, and scalability.
• Support the transition of AI prototypes into production-ready applications.
• Stay current with advancements in generative AI, machine learning, and emerging technologies.
• Provide technical guidance, documentation, and recommendations to support AI adoption and innovation.

What This Job Offers

• Career Level: Senior