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Added 6 mins ago
Senior AI Agent & Automation Solutions Engineer
Concentrix
Bellevue, WA
Role: Senior AI Agent & Automation Solutions Engineer
Added 6 mins ago
Security Detection Engineer, Insider Trust
Meta
Bellevue, WA
We are seeking a Security Engineer who specializes in designing and implementing new systems and tools to enhance the security of Meta’s products and infrastructure. This role is ideal for…
Added 6 mins ago
Data Engineer, Analytics (Technical Leadership)
Meta
Olympia, WA
Data Engineer, Analytics (Technical Leadership) Responsibilities:
Added 6 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Olympia, WA
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 6 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Olympia, WA
- $121,400 to $218,600 USD / year
You will be developing using Golang/Python involving complex threat detection algorithms in an ultra-high traffic environment. You will be involved in creating both platform and product…
Added 6 mins ago
C
AI Data Engineer
Cognizant
Olympia, WA
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 6 mins ago
C
AI Data Engineer
Cognizant
Olympia, WA
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 6 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Olympia, WA
…and provides a foundation for growth into the AI Operations Engineer…
Added 6 mins ago
DevOps Engineer III
Deloitte
Seattle, WA
4+ years of experience with scripting languages, such as Python, Bash, or PowerShell
Added 6 mins ago
Application Security Engineer, Proactive Security
Amazon
Seattle, WA
The Application Security (AppSec) Security Engineer is responsible for conducting security assessments and reviews of applications and services to identify vulnerabilities and ensure…
Added 6 mins ago
Senior Lead Software Engineer- AI/ML Training Infrastructure
JPMorgan Chase
Seattle, WA
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, Infrastructure Platforms team, you will play a critical role in designing, building, and operating secure,…
Added 6 mins ago
Lead AI and Data Science Engineer II- Marketing Measurement
Deloitte
Bellevue, WA · Seattle, WA
…collaborative environment? As an experienced Lead AI and Data Science Engineer II - Marketing Measurement, you will have the opportunity to share new ideas and collaborate on projects as a…
Added 6 mins ago
Business Engineer
Meta
Seattle, WA
6+ years of experience as a software engineer building and shipping production-quality, scalable, and maintainable code
Added 6 mins ago
GA
Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Bellevue, WA · Redmond, WA · Seattle, WA
- $131,000 to $174,000 USD / year
Automate repetitive operational work (provisioning, monitoring, patching, license management, reporting) using Python, Bash, PowerShell, Jenkins, Ansible, and similar tools.
Added 6 mins ago
EG
Databricks Data Engineer
Eliassen Group
Olympia, WA
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 6 mins ago
EG
Cloud Engineer
Eliassen Group
Olympia, WA
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 20 mins ago
Lead AI and Data Science Engineer II- Marketing Measurement
Deloitte
Portland, OR
…collaborative environment? As an experienced Lead AI and Data Science Engineer II - Marketing Measurement, you will have the opportunity to share new ideas and collaborate on projects as a…
Added 20 mins ago
Data Engineer, Analytics (Technical Leadership)
Meta
Salem, OR
Data Engineer, Analytics (Technical Leadership) Responsibilities:
Added 20 mins ago
AT
Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Salem, OR
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 20 mins ago
Software Engineer, Machine Learning RecSys
Meta
Salem, OR
Software Engineer, Machine Learning RecSys Responsibilities:
Added 20 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Salem, OR
- $121,400 to $218,600 USD / year
You will be developing using Golang/Python involving complex threat detection algorithms in an ultra-high traffic environment. You will be involved in creating both platform and product…
Added 20 mins ago
C
AI Data Engineer
Cognizant
Salem, OR
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 20 mins ago
AI Operations Administrator - Gravitee - Remote US
SitusAMC
Salem, OR
…and provides a foundation for growth into the AI Operations Engineer…
Added 20 mins ago
C
AI Data Engineer
Cognizant
Salem, OR
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 20 mins ago
GA
Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Salem, OR
- $131,000 to $174,000 USD / year
Automate repetitive operational work (provisioning, monitoring, patching, license management, reporting) using Python, Bash, PowerShell, Jenkins, Ansible, and similar tools.

International Motors, LLC

Senior AI/ML Engineer

Lisle, IL, United States

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Job details

Apply by: Nov 3, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Position Overview

The Senior AI/ML Engineer designs, develops, deploys, and operates production-grade artificial intelligence and machine learning solutions that deliver measurable business outcomes. This role combines machine learning expertise, software engineering discipline, and solution architecture to translate complex business needs into secure, scalable, supportable, and responsible AI capabilities.

The Senior AI/ML Engineer provides technical leadership throughout the solution lifecycle, including discovery, architecture, data preparation, model development, evaluation, deployment, monitoring, and continuous improvement. Working within a federated AI Center of Excellence (COE) model, this individual will partner with data engineering, analytics, product, architecture, cybersecurity, and business teams to develop and deliver business value through scalable AI and ML models.

Responsibilities

Model Development & Evaluation

Design, build, validate, and deploy machine learning models for complex business use cases. Lead feature engineering, model selection, tuning, validation, and production-readiness assessments.
Select the simplest effective approach based on business requirements, data availability, explainability, operational constraints, and measurable performance.
Define model acceptance criteria and implement reproducible offline and production evaluations.
Assess model robustness, bias, explainability, limitations, and failure modes appropriate to the use case.

AI Solution Delivery & ML Operations

Own end-to-end delivery of AI/ML solutions from discovery and prototyping through production deployment and ongoing operation.
Implement model and data versioning, experiment tracking, reproducible pipelines, automated deployment, and rollback practices.
Establish monitoring for data quality, data drift, model performance, reliability, latency, utilization, and cost.
Define retraining, release, environment-promotion, and lifecycle-management approaches.
Provide production support, perform root-cause analysis, and drive corrective and preventive actions for operational issues.

Generative AI Solution Engineering

Design and operationalize generative AI solutions using fit-for-purpose techniques such as retrieval-augmented generation, prompt orchestration, tool integration, and structured output.
Implement appropriate guardrails, human oversight, content controls, and monitoring.
Evaluate foundation models and AI platforms against business, security, architecture, and governance requirements and standards.

Data & Analytics Engineering Alignment

Work with large-scale structured and unstructured data to support AI/ML development and evaluation.
Define data requirements and partner with data engineering teams to improve data quality, availability, lineage, and observability.
Develop AI/ML-specific data transformations and features while partnering with data engineers on shared, governed, production-grade pipelines.
Contribute to curated data assets and integrate AI capabilities with enterprise analytics, business intelligence, and operational systems.

Governance, Standards & Responsible AI

Ensure adherence to enterprise AI governance, security, and compliance standards
Apply responsible AI practices, including documentation, explainability, and risk considerations
Contribute to development and refinement of AI/ML best practices and reusable patterns
Support model documentation and auditability requirements

Business Partnership & Value Realization

Partner with stakeholders to convert ambiguous business problems into testable hypotheses, technical requirements, and delivery plans.
Define technical and business success measures with product owners and business partners.
Assess whether AI/ML is appropriate for a use case and recommend conventional analytics, rules-based, or software approaches when they offer a better solution.
Estimate delivery complexity, dependencies, operational impact, and technical risk.

Technical Leadership & Collaboration

Serve as technical lead for medium-to-large AI/ML initiatives and drive resolution of complex implementation issues.
Mentor junior team members
Review code, models, technical designs, and operational plans to improve quality and consistency.

Minimum Requirements

Bachelor's degree and at least 2 years of software engineer experience

Master's degree and at least 1 year of software engineer experience

At least 5 years of software engineer experience

Additional Requirements

Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

Desired Skills

Master’s degree in a quantitative or technical field and preferred 5 years of relevant experience working as either a Data Scientist, Data Engineering, Machine Learning Engineer, or AI engineer
Experience with production AI/ML solution delivery
Preferred 7 years of relevant professional experience, including demonstrated ownership of production AI/ML systems
Demonstrated experience developing maintainable Python software and deploying AI/ML solutions into production environments
Experience developing tested, maintainable Python applications and using common machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
Experience with model deployment, model serving, CI/CD, experiment tracking, versioning, monitoring, and retraining workflows.
Experience with cloud-based AI/ML platforms, containerized deployments, APIs, distributed data processing, and enterprise data ecosystems.
Experience designing or operating generative AI solutions, including retrieval-augmented generation and systematic evaluation.
Familiarity with enterprise architecture, cybersecurity, privacy, responsible AI, and model governance practices.
Experience working across business, product, data, engineering, architecture, and risk teams in an enterprise environment.

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More about this job

Skills

ML
Artificial intelligence
Machine learning
Leadership
Process improvement
Data engineering
Cybersecurity
Root cause analysis
Data analysis
Unstructured data
Business intelligence
Regulatory compliance
Documentation
Collaboration
Python
Scikit-learn
TensorFlow
PyTorch
CI/CD
Process data

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