AI Solutions Engineer

The AI Solutions Engineer develops and supports AI-powered solutions that improve efficiency, decision-making, and knowledge sharing across the organization. Leveraging Microsoft Copilot, workflow automation tools, and local AI platforms, this role designs secure, scalable AI systems while helping drive adoption and continuous improvement. Working closely with stakeholders across the company, the AI Solutions Engineer ensures AI initiatives align with business objectives, governance standards, and evolving technology needs., * 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.

• 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.
• Experience or interest in developing, fine-tuning, or evaluating machine learning models., The ideal candidate will be comfortable working in a collaborative project-team environment, interchangeably supporting co-workers and engaging co-workers’ support to meet the specific needs of a wide range of projects. Landau Associates seeks candidates who share our core values of collaboration, responsiveness, and quality.

Landau Associates offers an excellent compensation and benefits package in an environment that promotes personal growth and professional advancement. The salary range for this position is $85,500 - $135,000. Compensation is based on a variety of factors, including education, experience, performance, location, and internal equity. As part of our compensation program, we review and update our salary ranges at least annually. We provide a wide variety of benefits to support our employees and their families. Details can be found on the Careers page of our website. Qualified applicants please visit our Careers page at http://www.landauinc.com/careers/ to apply online. Please note that relocation assistance and employment visa sponsorship are not available for this role. Landau Associates is an Equal Opportunity Employer., + $32.00-36.00 per hour $32 - $36 per hour // 1st shift (6:00 am - 3:00 pm) // 22 days of PTO // Medical, Dental, Vision, and 401K This Jobot Job is hosted by: Braden Prater Are you a fit? Easy Apply n…

• 5 days ago + *

Landau Associates is recognized for excellence in the environmental consulting industry. With nine offices in the Pacific Northwest and Gulf Coast, we have demonstrated that our focus on collaboration, responsiveness, and quality results in client satisfaction and long-term relationships. As employees, we own the Company, and our ownership culture promotes individual accountability to our clients, each other, and our community. Location: Seattle (Northgate), WA. This hybrid role requires a minimum of three days per week in-office.