Sr. Gen AI Engineer/ Architect

Quick USA Inc.; Plano (TX); Hybrid; USD 120,000 - 156,000; Full time

Job summary

Quick USA Inc. in Plano, TX seeks a Senior Gen AI Engineer/Architect to design, implement, and evaluate AI/ML solutions. You will build proofs of concept, assess emerging technologies, and partner with engineering to productionize scalable AI systems.

The role emphasizes AI/ML development, rapid prototyping, architecture discussions, data pipelines, and knowledge sharing. Requires 5+ years in AI/ML, strong Python and SQL, and hands-on experience with Azure AI, OpenAI, AWS Bedrock, Databricks,

Qualifications

• Bachelor’s degree or equivalent experience.
• 5+ years in AI engineering, ML, data science or related roles.
• Strong Python and SQL skills with AI/ML libraries.
• Experience building ML models, data pipelines, LLM apps, RAG and AI-enabled workflows.
• Hands-on with Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks or similar.
• Strong problem-solving, experimentation, and analytical skills.
• Excellent communication and documentation skills.

Responsibilities

• Design, develop, and evaluate AI/ML solutions using ML, data science, statistics, and generative AI.
• Work with structured and unstructured data to build reusable pipelines and workflows.
• Apply LLMs, RAG, agent frameworks, and traditional ML to solve business challenges.
• Build prototypes and proofs of concept using Python and model APIs.
• Collaborate with engineering and architecture teams to productionize solutions.
• Monitor advancements and present findings to leadership.

Skills

Python

SQL

AI/ML frameworks

LLM/AGI

Data pipelines

Cloud platforms

Communication

Education

Bachelor’s degree in Computer Science, Data Science, AI, Engineering, or related field

Tools

Azure AI

OpenAI

Anthropic

AWS Bedrock

Databricks

Hugging Face

Job description

Sr. Gen AI Engineer/ Architect

Seeking a highly motivated and hands-on Senior AI Engineer with experience in AI engineering, machine learning, data science, and data engineering. This role is ideal for someone who can solve ambiguous business problems, apply critical thinking, experiment with multiple approaches, and develop practical AI/ML solutions that deliver measurable business value. Reporting to the Manager, AI Product Research, this individual will design and build AI/ML proofs of concept, evaluate emerging technologies, and collaborate with engineering and architecture teams to transition validated solutions into scalable production systems.

[ Essential Duties ]

AI & ML Solution Development

• Design, develop, and evaluate AI/ML solutions using machine learning, data science, statistical modeling, and generative AI techniques.
• Work with structured and unstructured data to build reusable pipelines, analytics workflows, and model-driven solutions.
• Apply LLMs, RAG, agent frameworks, and traditional ML methods to solve business challenges and improve operational efficiency.

Rapid Prototyping & Innovation

• Build functional prototypes and proof-of-concepts using Python, AI SDKs, and model APIs.
• Design, test, and refine AI workflows, retrieval systems, and agentic applications.
• Conduct experiments, validate assumptions, and determine optimal approaches for complex technical problems.

Engineering & Architecture Collaboration

• Partner with engineering teams to transition prototypes into production-ready solutions.
• Contribute to architecture discussions involving model selection, APIs, cloud services, scalability, security, and deployment patterns.
• Collaborate with architects, product managers, business stakeholders, data engineers, and data scientists to ensure solutions align with business objectives.

Research & Knowledge Sharing

• Monitor advancements in AI, machine learning, open-source technologies, and industry trends.
• Present findings, prototypes, and recommendations to technical leadership and stakeholders.
• Support AI innovation through workshops, documentation, and knowledge-sharing activities.

[ Working Hours / Working style ]

09:00 - 18:00

Monday to Friday

Hybrid

[ Working Location ]

Plano, TX

[ Salary / Benefit ]

$120K - $156K (Temp)

[ Holidays ]

Saturday, Sunday and Company Designated holiday

[ 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, data engineering, or related technical roles.
• Strong Python and SQL skills with experience using common AI/ML frameworks and libraries.
• Experience building ML models, data pipelines, LLM applications, RAG systems, vector search solutions, and AI-enabled workflows.
• Hands‑on experience with AI platforms such as Azure AI, OpenAI, Anthropic, AWS Bedrock, Databricks, Hugging Face, or similar technologies.
• Strong problem‑solving, experimentation, and analytical skills.
• Excellent communication and documentation skills.

Preferred

• Experience with MLOps, LLMOps, model evaluation, monitoring, and responsible AI practices.
• Experience with AI solution architecture, cloud deployment, scalability, and system integration.
• Experience with agentic AI systems, workflow orchestration, fine-tuning, or enterprise analytics solutions.
• Relevant AI, cloud, or data engineering certifications are a plus.