Production AI Engineer — LLM & Enterprise Solutions

Slalom

Houston (TX)

On-site

USD 106,000 - 166,000

Full time

14 days+

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Benefits offered by this job

401(k) 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 enterprise clients. You will contribute to solution architecture, own workstreams, write production-quality code, and communicate decisions and progress to stakeholders.

You will work hands-on with major hyperscalers (AWS, Azure, GCP) and data platforms (Databricks, Snowflake) while collaborating with Responsible AI specialists to ensure safe, scalable AI delivery.

Qualifications

  • 3+ years designing and building data, AI, software, or ML solutions in real-world environments.
  • Hands-on Python and modern software engineering practices.
  • Experience with cloud AI platforms (Azure/AWS/GCP) and data platforms.

Responsibilities

  • Design and build AI-enabled applications and systems, including LLM-powered apps and API integrations.
  • Deliver production-grade AI solutions with scalable data pipelines and cloud services.
  • Own implementation workstreams from design to delivery, including testing and client handoff.
  • Collaborate with clients to translate business inputs into deployable AI solutions.
  • Mentor peers on AI engineering practices and production delivery patterns.

Skills

Python
AI/ML systems
Cloud platforms
LLM patterns
Communication
Consulting

Tools

Azure OpenAI
AWS Bedrock
Databricks
Snowflake Cortex

Job description

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

You will work hands-on with major hyperscalers (AWS, Azure, GCP) and data platforms (Databricks, Snowflake) while collaborating with Responsible AI specialists to ensure safe, scalable AI delivery.

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