AI & Data Engineering Architect (Generative AI)

TL;DR

AI & Data Engineering Architect (Generative AI): Designing, developing, and implementing end-to-end data platforms and AI models with an accent on scalable data models, ETL pipelines, and Generative AI solutions. Focus on fine-tuning and deploying LLMs, optimizing data lakes, and integrating AI models into enterprise workflows.

Location: Must be based in Las Vegas, NV

Salary: $120,000–$140,000/year

Company

hirify.global is a global consulting firm specializing in digital transformation, AI, Cloud & DevOps, Data, and Software Engineering for financial services and technology firms.

What you will do

• Design, architect, and develop scalable data models, ETL pipelines, and analytics solutions using tools like Spark, Databricks, Snowflake, Hadoop, AWS, and Azure.
• Lead the development and operationalization of Generative AI solutions, including LLMs, diffusion models, and multi-modal systems, utilizing frameworks like Hugging Face, LangChain, and OpenAI APIs.
• Fine-tune and deploy large language models (LLMs) such as GPT, BERT, LLAMA for domain-specific needs.
• Implement retrieval-augmented generation (RAG), semantic search, and multi-modal workflows to enhance enterprise search and decision-making.
• Architect and optimize data lakes, Delta Lake, Data Mesh, and Data Fabric solutions, ensuring data reliability and high performance.
• Develop and automate data pipelines for model training, evaluation, inference, and continuous learning using tools like Azure Data Factory, AWS Glue, and MLflow.

Requirements

• 12+ years of experience in Data Engineering, AI, and Cloud Solutions.
• Expertise in cloud platforms like AWS (SageMaker, Bedrock, S3, Redshift) and Azure (Azure ML, AI Studio, Data Factory).
• Strong knowledge of Big Data ecosystems: Hadoop, Spark, Hive, Snowflake, DataBricks.
• Proficiency in Python, R, Scala, SQL, and Java.
• Hands-on experience with ML/DL frameworks: TensorFlow, PyTorch, Keras.
• Skilled in MLOps, DevOps, CI/CD pipelines, Docker, Kubernetes, and Terraform.

Culture & Benefits

• Highly competitive compensation and benefits package.
• Multinational organization with global work opportunities.
• Comprehensive insurance plans (medical, dental, vision, life, disability).
• Retirement savings plans and higher education certification policy.
• Extensive training opportunities and on-demand Udemy for Business access.
• Cutting-edge projects at leading tier-one banks and financial institutions.