Top 243 Senior ai/ml engineer Jobs in Evanston, Il

Senior Cloud Engineer AI
BMO Financial Group —Chicago, IL
- $81,400 - $151,800 a year
- Full-time
- 5 years
- Office
- Mentoring
- Health insurance
- Tuition reimbursement
Senior AI Engineer
Abbott Laboratories —Abbott Park, IL
- $99,300 - $198,700 a year
- Full-time
- Remote
- Computer science
- 6 years
- Computer Science
- Health insurance
- Tuition reimbursement
Senior AI/ML Solutions Engineer
James Hardie —Chicago, IL
- Azure
- 6 years
- Computer Science
- Employee stock purchase plan
- Paid holidays
Senior AI Software Engineer, Python
Scorpion Enterprises, LLC —Chicago, IL
- $135,000 - $175,000 a year
- On call
- Remote
- Azure
- Mentoring
- US work authorization
- Paid parental leave
- Health insurance
Senior AI Machine Learning Engineer
The Hartford —Chicago, IL
- $117,200 - $175,800 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- Office
5d
Senior Delivery Consultant - AI/ML, AWS Professional Services
Amazon Web Services, Inc. —Chicago, IL
- $153,600 - $207,800 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- AD&D insurance
- Health insurance
10d
Senior AI Engineer
iManage —Chicago, IL
- $130,000 - $220,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- 3 years
- Dental insurance
- 401(k)
Quick Apply
Senior AI Engineer
ZS —Chicago, IL
- Online Application
- Computer Science
- DevOps
- Office
- Work from home
- Opportunities for advancement
3d
Senior Software Engineer, AI/ML
CNA Insurance —Chicago, IL
- $72,000 - $141,000 a year
- Full-time
- Hybrid work
- Computer science
- Experience equivalent to degree accepted
- Senior level
Staff/Senior Machine Learning Engineer, Clinical AI
Tempus —Chicago, IL
- $150,000 - $230,000 a year
- Full-time
- Fair chance
- Senior level
- Communication skills
- Health insurance
Senior Gen AI Software Engineer
Fitch Group —Chicago, IL
- $120,000 - $140,000 a year
- Hybrid work
- 7 years
- Azure
- System design
- Tuition reimbursement
- Parental leave
Senior AI Platform Engineer
Alpaca —Chicago, IL
- Remote
- APIs
- Senior level
- Communication skills
- Health insurance
Quick Apply
Forward Deployed Engineer (Senior/Staff), AI Foundry Team
West Monroe —Chicago, IL
- $236,300 - $304,200 a year
- Email
- Azure
- 5 years
- System design
- Paid parental leave
- Paid holidays
Chase Modeling - Applied AI ML Senior Associate
JPMorganChase —Chicago, IL
- $118,750 - $185,000 a year
- Full-time
- Computer Science
- Analysis skills
- Math
- Health insurance
- Tuition reimbursement
Principal Delivery Consultant – AI ML, Professional Services, AWSI HCLS
Amazon Web Services, Inc. —Chicago, IL
- $182,800 - $272,000 a year
- Full-time
- Computer science
- Computer Science
- HIPAA
- AD&D insurance
- Health insurance
SVP, AI Deployment & Solution Leader
U.S. Bank National Association —Chicago, IL
- $170,255 - $200,300 a year
- Full-time
- Hybrid work
- Computer Science
- System design
- 11+ years
- Paid holidays
- Disability insurance
8d
Lead AI/ML Engineer (P4645)
84.51° —Chicago, IL
- $125,000 - $207,000 a year
- Computer Science
- Office
- Master's degree
Senior Software Engineer, AI & Data
Renterra —Chicago, IL
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- System design
- Office
- SQL
- Dental insurance
- Paid time off
Quick Apply
10d
Senior AI Engineer
Reply —Chicago, IL
- $140,000 - $180,000 a year
- Email
- Hybrid work
- Azure
- Computer Science
- 5 years
Quick Apply
Senior Engineer, AI
AbbVie —North Chicago, IL
- $96,500 - $183,500 a year
- Full-time
- Hybrid work
- English
- Master's degree
- AWS
- Paid holidays
- Health insurance
9d

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senior ai/ml engineer jobs near evanston, il

Senior Cloud Engineer AI

BMO Financial Group -
Chicago, IL

Apply Now

Job Details

Full-time
$81,400 - $151,800 a year

Benefits

Health insurance
Tuition reimbursement
Life insurance
Retirement plan

Qualifications

AI models
Network design
Infrastructure as Code (IaC)
Amazon SageMaker
AI platforms (beyond public GPTs)
Prompt engineering
Automating deployment processes
Infrastructure architecture design
Machine learning cloud services
Machine intelligence
Model deployment
Terraform
Azure Machine Learning
Agile
Cloud compliance
Model training
Cloud Architecture Design (Architecture design skills)
Cloud automation
Network security architecture design
Machine learning (ML) fundamentals
IT security management
Machine learning frameworks
Python
MLOps
Generative AI
AWS CloudFormation

Full Job Description

Application Deadline:

08/30/2026

Address:

1630 Chicago Road

Job Family Group:

Technology

Senior Cloud Engineer – ML/AI Platform

We are seeking a Senior Cloud Engineer with deep expertise in AWS and Azure AI/ML services to drive our enterprise ML/AI platform capabilities. You will evaluate and enable cloud AI/ML services, build reusable architectural patterns, and develop automated MLOps solutions in a highly regulated banking environment. This role requires hands-on experience with modern AI/ML platforms and the ability to design secure, compliant solutions that accelerate AI adoption across the organization.

What You Will Do

Evaluate and enable AWS and Azure AI/ML services (SageMaker, Bedrock, Azure OpenAI, Azure AI Foundry) through proof-of-concepts and comprehensive assessments

Design and implement reusable architectural patterns for secure AI/ML integrations including private endpoints, customer-managed keys, and service-to-service authentication

Build end-to-end MLOps platforms and automated ML pipelines for model training, evaluation, deployment, and monitoring

Produce technical reports on security, networking, compliance, guardrails, and cost analysis for AI/ML service enablement

Develop frameworks, infrastructure-as-code, and automation to accelerate AI/ML adoption

Implement observability solutions with model monitoring, metrics, and drift detection

Partner with Enterprise Architecture and senior stakeholders to align platform capabilities with strategic roadmaps

Provide technical leadership and mentorship on AI/ML cloud best practices

What You Need to Succeed

Must Have

5-7 years of cloud engineering experience with 3+ years focused on AI/ML platforms

Deep hands-on expertise with AWS AI/ML services: SageMaker (training, pipelines, inference, JumpStart), Bedrock

Deep hands-on expertise with Azure AI/ML services: Azure Machine Learning, Azure OpenAI, Azure AI Foundry

Experience building MLOps platforms and automated ML pipelines

Strong knowledge of LLMOps, LLM lifecycle management, agentic AI, RAG (retrieval-augmented generation), and prompt engineering

Experience implementing guardrails and governance for LLM services

Proficiency in Python and infrastructure-as-code (Terraform, CloudFormation, ARM/Bicep)

Experience with MLflow(or similar tool), experiment tracking, and model registries

Expertise in cloud security patterns including private endpoints, customer-managed keys, and network isolation for AI/ML services

Strong understanding of cloud networking architecture in regulated environments

Experience working in highly regulated industries with compliance requirements

Agile delivery experience

Nice to Have

AWS or Azure AI/ML certifications

Experience with vector databases and embedding models

Knowledge of model optimization and inference acceleration

Background in financial services or banking

Salary :

$81,400.00 - $151,800.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply Now

Refine Your Search

senior ai/ml engineer jobs in evanston, il

Senior Cloud Engineer AI

Senior AI Engineer

Senior AI/ML Solutions Engineer

Senior AI Software Engineer, Python

Senior AI Machine Learning Engineer

Senior Delivery Consultant - AI/ML, AWS Professional Services

Senior AI Engineer

Senior AI Engineer

Senior Software Engineer, AI/ML

Staff/Senior Machine Learning Engineer, Clinical AI

Senior Gen AI Software Engineer

Senior AI Platform Engineer

Forward Deployed Engineer (Senior/Staff), AI Foundry Team

Chase Modeling - Applied AI ML Senior Associate

Principal Delivery Consultant – AI ML, Professional Services, AWSI HCLS

SVP, AI Deployment & Solution Leader

Lead AI/ML Engineer (P4645)

Senior Software Engineer, AI & Data

Senior AI Engineer

Senior Engineer, AI

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