Hybrid AI Engineer: Production ML & Client Solutions

Slalom; St. Louis (MO); On-site; USD 106,000 - 166,000; Full time

Benefits offered by this job

401(k) with match

Health, dental, & vision coverage

Well-being reimbursement

Job summary

Slalom is seeking an AI Engineer to design, build, evaluate, and deploy production-grade AI systems for clients. You will contribute to solution architecture, own implementation workstreams, and communicate technical decisions to stakeholders.

You will work hands-on with major hyperscalers (AWS, Azure, GCP) and data platforms (Databricks, Snowflake), collaborating across teams to deliver impactful production AI outcomes.

Qualifications

• 3+ years of experience designing and building AI/ML solutions in real-world settings.
• Hands-on production software development using Python and modern practices.
• Experience deploying AI/ML solutions beyond notebooks, including deployment and monitoring.
• Familiarity with major AI platforms (Azure/AWS/GCP) and data platforms (Databricks, Snowflake).

Responsibilities

• Design, build, and deploy production-grade AI systems for clients.
• Contribute to solution architecture and own execution workstreams.
• Collaborate with clients to translate business needs into deployable AI solutions.
• Mentor peers on AI engineering practices and modern tooling.

Tools

Azure OpenAI

AWS Bedrock

Google Vertex AI

Databricks Mosaic AI

Snowflake Cortex

Job description

Slalom is seeking an AI Engineer to design, build, evaluate, and deploy production-grade AI systems for clients. You will contribute to solution architecture, own implementation workstreams, and communicate technical decisions to stakeholders.

You will work hands-on with major hyperscalers (AWS, Azure, GCP) and data platforms (Databricks, Snowflake), collaborating across teams to deliver impactful production AI outcomes.