Sr. Gen AI Architect

DMS Vision•Plano, TX

1d•Onsite

About The Position

The Senior Gen AI Architect is a hands-on AI/ML role focused on solving ambiguous business problems and developing practical solutions that deliver measurable business value. The position designs and builds AI/ML proofs of concept, evaluates emerging technologies, and collaborates with engineering and architecture teams to transition validated solutions into scalable production systems. It reports to the Manager, AI Product Research. The role applies machine learning, data science, statistical modeling, and generative AI to structured and unstructured data. It uses LLMs, retrieval-augmented generation (RAG), agent frameworks, and traditional machine-learning methods to address business challenges and improve operational efficiency. The position also involves rapid prototyping, experimentation, architecture collaboration, and sharing research and recommendations with technical leadership and stakeholders. It is based in Plano, United States, with four days onsite; relocation is acceptable, and local candidates are preferred. The stated duration is six or more months.

Requirements

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

Nice To Haves

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.

Responsibilities

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 business challenges and operational efficiency improvements.
Build functional prototypes and proofs of concept using Python, AI SDKs, and model APIs.
Design, test, and refine AI workflows, retrieval systems, and agentic applications.
Conduct experiments, validate assumptions, and determine suitable approaches for complex technical problems.
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 align solutions with business objectives.
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.