Senior AI / ML Engineer (Cloud, GenAI & Analytics)
Merican, Snoqualmie, WA, United States
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Senior AI / ML Engineer (Cloud, GenAI & Analytics)
Location: Snoqualmie, WA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
We are seeking a Senior AI / ML Engineer with strong hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI to design and deliver enterprise-grade, production-ready AI solutions.
This is an AI/ML-focused role, with data engineering skills as a secondary capability to support scalable and high-quality data pipelines.
Key Responsibilities
AI / ML & Generative AI (Primary)
Design, build, and deploy AI/ML solutions, including deep learning, NLP, LLMs, and generative AI
Develop and operationalize end-to-end ML pipelines (feature engineering, training, deployment, monitoring)
Build and optimize LLM-based architectures, including prompt engineering and RAG patterns
Lead AI experimentation and prototyping to solve complex business problems
Implement MLOps and CI/CD practices for reliable and scalable AI systems
Establish AI best practices covering governance, security, and observability
Data Engineering & Analytics (Secondary)
Design and maintain scalable data pipelines supporting AI and analytics use cases
Build and manage cloud data platforms using Snowflake
Develop ETL/ELT pipelines using Azure Data Factory (ADF) or equivalent tools
Create dashboards and analytical views using Power BI / Tableau
Ensure data quality, performance, and reliability across pipelines
Required Skills
Strong Python skills for AI/ML development and analytics
Hands-on experience with machine learning, deep learning, NLP, and LLMs
Experience delivering production-grade AI solutions
Experience with Snowflake and cloud data platforms
Experience with ADF or similar ETL/ELT tools
Knowledge of CI/CD, DevOps, and cloud platforms (Azure preferred)
Strong communication skills to translate technical concepts into business value
Preferred / Nice-to-Have
Experience with MLOps, model monitoring, and observability
Familiarity with vector databases, embeddings, and RAG architectures
Experience integrating LLMs with enterprise systems
Exposure to telecom or large-scale enterprise data
Experience working in Agile enterprise environments
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Senior AI / ML Engineer (Cloud, GenAI & Analytics)
Location: Snoqualmie, WA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
We are seeking a Senior AI / ML Engineer with strong hands-on experience in Artificial Intelligence, Machine Learning, and Generative AI to design and deliver enterprise-grade, production-ready AI solutions.
This is an AI/ML-focused role, with data engineering skills as a secondary capability to support scalable and high-quality data pipelines.
Key Responsibilities
AI / ML & Generative AI (Primary)
Design, build, and deploy AI/ML solutions, including deep learning, NLP, LLMs, and generative AI
Develop and operationalize end-to-end ML pipelines (feature engineering, training, deployment, monitoring)
Build and optimize LLM-based architectures, including prompt engineering and RAG patterns
Lead AI experimentation and prototyping to solve complex business problems
Implement MLOps and CI/CD practices for reliable and scalable AI systems
Establish AI best practices covering governance, security, and observability
Data Engineering & Analytics (Secondary)
Design and maintain scalable data pipelines supporting AI and analytics use cases
Build and manage cloud data platforms using Snowflake
Develop ETL/ELT pipelines using Azure Data Factory (ADF) or equivalent tools
Create dashboards and analytical views using Power BI / Tableau
Ensure data quality, performance, and reliability across pipelines
Required Skills
Strong Python skills for AI/ML development and analytics
Hands-on experience with machine learning, deep learning, NLP, and LLMs
Experience delivering production-grade AI solutions
Experience with Snowflake and cloud data platforms
Experience with ADF or similar ETL/ELT tools
Knowledge of CI/CD, DevOps, and cloud platforms (Azure preferred)
Strong communication skills to translate technical concepts into business value
Preferred / Nice-to-Have
Experience with MLOps, model monitoring, and observability
Familiarity with vector databases, embeddings, and RAG architectures
Experience integrating LLMs with enterprise systems
Exposure to telecom or large-scale enterprise data
Experience working in Agile enterprise environments
TekWissen® Group is an equal opportunity employer supporting workforce diversity.