AI/ML Solution Architect (GenAI Focus)

DMS Vision • Frisco, TX

10h • Remote

About The Position

We are seeking a highly skilled AI/ML Solution Architect with a focus on Generative AI to design and implement scalable AI/ML and GenAI solutions. The role involves hands-on work with LLM architectures, MLOps, and Azure-based AI services, as well as leading end-to-end solution design for enterprise-grade applications. The position is 100% remote and has a stated duration of six months.

Requirements

• Strong experience in AI/ML solution architecture.
• Hands-on experience with machine learning and deep learning.
• Hands-on experience with Generative AI and LLMs.
• Expertise in GenAI concepts, including prompt engineering, vector databases, and RAG architectures.
• Experience with MLOps and model lifecycle management.
• Strong knowledge of Azure Cloud, including Azure ML and Azure OpenAI.
• Proficiency in Python (mandatory).
• Experience with C# and .NET Core.
• Experience with TensorFlow, PyTorch, and Scikit-learn.
• Experience with Hugging Face and LangChain.
• Strong understanding of microservices architecture, APIs, and event-driven systems.
• Knowledge of security, compliance, and AI governance.
• Excellent communication and leadership skills.

Nice To Haves

• Experience with data architecture, including data lakes, feature stores, and pipelines.
• Familiarity with DevOps tools such as Docker, Kubernetes, and CI/CD.
• Exposure to big data technologies such as Spark, Kafka, Snowflake, and Databricks.
• Experience in performance tuning and cost optimization.
• Understanding of AI ethics and regulatory requirements.

Responsibilities

• Design and architect AI/ML and Generative AI solutions for production environments.
• Develop and implement LLM-based applications using modern GenAI techniques.
• Build and manage the end-to-end ML lifecycle, including training, deployment, monitoring, and retraining.
• Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Collaborate with cross-functional teams to define architecture and technical solutions.
• Ensure AI systems are scalable, performant, and reliable.
• Apply security, governance, and responsible AI practices.
• Provide technical leadership and communicate effectively with stakeholders.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed