Senior AI / ML Engineer – GenAI & Cloud

Strictly W2 only - No C2C

Job Title:
Senior AI / ML Engineer (Cloud, GenAI & Analytics)

Location:
Snoqualmie, WA

Duration:
6 Months Contract

Work Type:
Onsite (5 Days)

⚠️
US Citizens, Permanent residents and H4 EAD are preferred and Local candidates only

Key Responsibilities

AI / ML & Generative AI
(Primary):

- Design, develop, and deploy
enterprise-grade AI/ML solutions
including:
Machine Learning, Deep Learning, NLP, LLMs, Generative AI
- Build and operationalize
end-to-end ML pipelines
including:
Feature engineering, Model training, Deployment, Monitoring
- Design and optimize
LLM architectures
, including:
Prompt engineering, Retrieval-Augmented Generation (RAG), AI workflow orchestration
- Lead AI experimentation, prototyping, and innovation initiatives to solve complex business problems.
- Implement
MLOps, CI/CD, governance, observability, and AI security best practices
.
- Translate AI capabilities into measurable business outcomes.

Data Engineering & Analytics
(Secondary)

- Build scalable
data pipelines
supporting AI and analytics workloads.
- Design and manage
Snowflake cloud data platforms
.
- Develop ETL / ELT pipelines using:
Azure Data Factory (ADF), Equivalent tools
- Create dashboards and analytical reporting using:
Power BI, Tableau
- Ensure data quality, performance, and reliability across enterprise pipelines.

Must Haves

- Strong
Python programming
for AI/ML development and analytics.
- Hands-on expertise with:
Machine Learning, Deep Learning, NLP, LLMs, Generative AI
- Proven experience delivering
production-grade AI solutions
.
- Strong experience with
RAG architectures
and prompt engineering.
- Experience with
Snowflake
and cloud data platforms.
- Experience with
ADF or similar ETL/ELT tools
.
- Strong knowledge of:
CI/CD, DevOps, Cloud platforms
(
Azure preferred
)
- Strong communication skills with the ability to explain technical solutions to business stakeholders.
- Lead-level ownership and architecture experience.

⚠️
Profiles missing AI/ML + GenAI + Cloud + RAG + ADF may be rejected.

Nice to Have

- Experience with:
MLOps, Model monitoring, Observability platforms
- Experience with:
Vector databases, Embeddings, Semantic search
- Experience integrating
LLMs with enterprise systems
.
- Telecom or large-scale enterprise data experience.
- Experience working in Agile enterprise teams.