Enterprise AI Engineer I

Kidder Mathews; Seattle (WA); On-site; USD 130,000 - 170,000; Full time

Job summary

Kidder Mathews is seeking an Enterprise AI Engineer in Seattle to develop cutting-edge AI solutions and collaborate with cross-functional teams to implement them across business processes.

Responsibilities include designing ML architectures, preprocessing data, and applying NLP techniques, with a focus on accuracy, performance, and scalable deployment in cloud environments. A strong foundation in ML and real estate domain knowledge is valued.

Qualifications

• Bachelor's degree in computer science, data science, or a related field; a master's or Ph.D. is preferred.
• Experience developing and deploying AI solutions, preferably in a professional setting.
• Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch).
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
• Familiarity with cloud-based AI services and platforms (AWS, Azure, Google Cloud).

Responsibilities

• Develop and implement AI models and algorithms to solve complex business problems.
• Collaborate with stakeholders to identify AI project objectives, requirements, and success criteria.
• Collect, preprocess, and analyze large datasets to train and validate AI models.
• Design and optimize machine learning architectures, neural networks, and deep learning models.
• Utilize NLP techniques for text analysis and sentiment analysis.
• Collaborate with software engineers to integrate AI solutions into existing applications.

Skills

Python

TensorFlow

PyTorch

NLP

Data analysis

Education

Bachelor's degree in CS/DS

Master's/PhD preferred

Tools

AWS

Azure

Google Cloud

Job description

12886 Interurban Ave S, Seattle, WA 98168, USA

Job Description

Posted Tuesday, August 18, 2026 at 10:00 AM

job Summary : ( Overall purpose and objective of the job)

The Enterprise AI Engineer is responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance business processes. This role involves collaborating with cross-functional teams to identify opportunities, design AI models, analyze data, and deploy AI solutions. The Enterp rise AI Engineer will play a pivotal role in shaping the organization's AI strategy, contributing to its growth, and ensuring the highest levels of accuracy and performance of AI systems

Essential Functions :

• 1. Develop and implement AI models and algorithms to solve complex business problems
• 2. Collaborate with stakeholders to identify and define AI project objectives, requirements, and success criteria
• 3. Collect, preprocess, and analyze large datasets to train and validate AI models
• 4. Design and optimize machine learning architectures, neural networks, and deep learning models
• 5. Utilize natural language processing (NLP) techniques for text analysis and sentiment analysis
• 6. Explore and apply state-of-the-art AI methodologies and tools to improve existing systems
• 7. Evaluate and select appropriate AI frameworks, libraries, and technologies for project development
• 8. Stay up- to- date with the latest advancements and research in AI and machine learning
• 9. Perform rigorous testing and validation of AI models to ensure accuracy and robustness
• 10. Collaborate with software engineers to integrate AI solutions into existing applications and systems
• 11. Provide technical guidance and support to team members on AI-related projects
• 12. Prepare comprehensive documentation and reports on AI models, methodologies, and findings
• 13. Participate in knowledge sharing activities, including training sessions and workshops

Essential Qualifications :

• 1. Bachelor's degree in computer science, data science, or a related field. A master's or Ph.D. is preferred
• 2. Proven experience in developing and deploying AI solutions, preferably in a professional setting
• 3. Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling
• 4. Proficiency in programming languages such as Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch )
• 5. Strong analytical and problem-solving skills, with the ability to interpret complex data sets
• 6. Knowledge of data preprocessing techniques, feature engineering, and dimensionality reduction
• 7. Familiarity with cloud-based AI services and platforms (e.g., AWS, Azure, Google Cloud)
• 8. Experience with natural language processing (NLP) techniques and tools
• 9. Excellent communication skills, with the ability to present findings and explain AI concepts to non-technical stakeholders
• 10. Strong project management skills, with the ability to prioritize tasks and deliver projects within deadlines
• 11. Detail-oriented mindset with a focus on quality, accuracy, and continuous improvement
• 12. Ability to work collaboratively in cross-functional teams and adapt to fast-paced environments

Skills and Ability

• 1. Proficiency in machine learning algorithms, neural networks, and deep learning techniques
• 2. Strong coding skills in Python, R, or Java, with the ability to develop and optimize AI models
• 3. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
• 4. Knowledge of cloud-based AI services and platforms for scalable and efficient AI development
• 5. Ability to analyze complex data sets, identify patterns, and extract meaningful insights
• 6. Familiarity with natural language processing (NLP) tools and techniques for text analysis
• 7. Excellent problem-solving and critical-thinking abilities to address AI-related challenges
• 8. Strong documentation skills for creating comprehensive reports and technical documentation
• 9. Effective communication and interpersonal skills to collaborate with diverse teams and stakeholders
• 10. Strong organizational skills to manage multiple projects and deliver results on time

Education/Certification:

• Bachelor's degree in CS, DS or related, Master's or Ph.D. is preferred

Required Knowledge:

Ability to understand commercial real estate terms and standards

EXPERIENCe REQUIRED:

Work Environment:

• This is a standard office environment with standard office noise like talking, office equipment, etc.

Physical Demands:

• While performing the duties of this job, the employee is regularly required to talk and hear. This position is rarely active but may require standing, walking, bending, kneeling, stooping and crouching. The employee must frequently sit and use a computer for long periods of time. Specific vision abilities are required to do this job including close vision. The employee must sometimes lift and/or move items up to 10 pounds.

Supervisory Responsibilities:

• There are no direct supervisory responsibilities