Landau Associates
Seattle, WA
AI Solutions Engineer
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Apply to AI Solutions Engineer at Landau AssociatesJob details
- Location
- Seattle, WA
- Work type
- Hybrid
- Compensation
- $86,000 - $135,000/yr
- Posted
- yesterday
- Apply on
- workforcenow.adp.com
About this role
Landau Associates is an environmental consulting company seeking an AI Solutions Engineer to develop and support AI-powered solutions that improve organizational efficiency, decision-making, and knowledge sharing. The role designs secure, scalable AI workflows and local AI environments, partners with stakeholders on implementation, and supports governance, adoption, and continuous improvement.
What you'll do:
- Design, implement, and maintain AI-powered workflows and automations using Microsoft Copilot, Power Automate, and related technologies
- Develop and administer secure local AI environments for concurrent company-wide use, including the integration of enterprise AI models and tools
- Monitor, troubleshoot, and optimize AI systems to ensure reliability, performance, security, and scalability
- Partner with business and technical teams to identify opportunities for AI solutions and support successful implementation
- Establish and maintain standards for governance, version control, quality assurance, and data security
- Develop safeguards and access controls for confidential and sensitive information
- Support AI adoption through training, documentation, user support, and continuous improvement initiatives
What they're looking for:
- Bachelor's degree in Computer Science, Information Systems, or a related technical field
- 1–5+ years of experience supporting, developing, or administering AI-enabled or complex software systems
- Experience implementing and managing multi-user AI environments using vLLM, Open WebUI, or similar tools
- Experience with low-code workflow automation platforms such as Power Automate
- Proficiency in Python, SQL, R, or similar programming languages
- Experience with version control systems and software deployment practices
- Ability to independently manage projects and contribute to technical planning and decision-making
- Experience with cloud-based AI platforms and infrastructure management
- Knowledge of AI infrastructure, including GPUs and high-performance computing environments
- Experience with automated testing, quality assurance, and system monitoring practices
- Familiarity with AI governance, security, and scalability best practices
- Understanding of cloud data platforms, including Azure, AWS, and data warehousing solutions
Benefits:
- Hybrid role requiring a minimum of three days per week in-office
- Employees own the Company
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