Top 2937 Sr manager, ai platform architecture Jobs in Chicago, Il

Senior Manager, AI Platform Architecture
Calance US —Bolingbrook, IL
- $160,000 - $190,000 a year
- Full-time
- 18 years or older
- Azure
- 11+ years
3d
Sr. Manager, AI Platform Engineering
United Airlines —Chicago, IL
- $147,060 - $191,516 a year
- Full-time
- Computer Science
- DevOps
- Master's degree
- Paid holidays
- Disability insurance
Senior Development Manager - Multifamily & Affordable Housing
JCW Development —Oak Brook, IL
- Full-time
- In-person
- Senior level
- Health savings account
- Health insurance
Quick Apply
Technical Infrastructure & Cloud Architect
Ingredion Incorporated (Corporate) —Westchester, IL
- $149,400 - $199,200 a year
- Full-time
- Computer Science
- DevOps
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
Oracle HCM Solution Architect
Vibotek LLC —Chicago, IL
- Contract
- Hybrid work
- Computer science
- 7 years
- Computer Science
Quick Apply
Expert Senior Manager, AI Engineering
Bain & Co. —Chicago, IL
- $258,000 - $293,500 a year
- Full-time
- System design
- Office
- Continuous improvement
- Wellness program
- Paid holidays
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Sr. Engineering Manager - Transportation
Farnsworth Group —Lisle, IL
- $125,000 - $165,000 a year
- Online Application
- Civil engineering
- Management
- 11+ years
- Health savings account
- Disability insurance
Quick Apply
Lead System Test Engineer (Audio & Video Solutions)
Shure —Skokie, IL
- $113,000 - $182,000 a year
- Full-time
- Computer Science
- Engineering
- Office
- Health insurance
- Paid time off
Chief Architect, Retail
Bain & Co. —Chicago, IL
- $195,500 - $239,500 a year
- Full-time
- Azure
- Inventory management
- 11+ years
- Wellness program
- Paid holidays
Quick Apply
Senior Interiors Project Manager
Clayco —Chicago, IL
- $100,000 - $150,000 a year
- 11+ years
- Residential
- Presentation skills
- Paid holidays
- Disability insurance
Quick Apply
Expert Senior Manager, Engineering Excellence
Bain & Co. —Chicago, IL
- $258,425 - $293,500 a year
- Full-time
- Hybrid work
- Azure
- Management
- Computer Science
- Wellness program
- Paid holidays
Quick Apply
Senior Lead Field Architect
Braze —Chicago, IL
- $158,000 - $236,000 a year
- Salesforce
- System design
- Senior level
- Paid parental leave
- Health insurance
Quick Apply
Senior Business Development Manager
NewCold —Chicago, IL
- $145,000 - $155,000 a year
- Contracts
- Senior level
Sr. Manager, External Reporting
Fortune Brands —Deerfield, IL
- $120,000 - $192,500 a year
- Full-time
- Hybrid work
- Oracle
- CPA
- 5 years
- Health insurance
- Adoption assistance
Quick Apply
Lead Mulesoft Developer
Everforth —Chicago, IL
- $115,000 - $155,000 a year
- Full-time
- Remote
- Computer Science
- ERP systems
- System design
- Paid holidays
- Health insurance
Quick Apply
Principal Group Product Manager, B2B (Auth0)
Okta —Chicago, IL
- $173,000 - $237,600 a year
- Hybrid work
- Computer Science
- 5 years
- Master's degree
Quick Apply
10d
Principal Group Product Manager, B2B (Auth0)
Okta —Chicago, IL
- $194,000 - $266,200 a year
- Hybrid work
- Computer Science
- 5 years
- Master's degree
Quick Apply
10d
Sr. Engineering Manager - Transportation
Farnsworth Group —Tinley Park, IL
- $125,000 - $165,000 a year
- Online Application
- Civil engineering
- Management
- 11+ years
- Health savings account
- Disability insurance
Quick Apply
Expert Consultant, Coro, AI Engineer
Bain & Co. —Chicago, IL
- $128,500 - $171,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Wellness program
- Paid holidays
Quick Apply
Senior AI Engineer - Guidewire
CNA Insurance —Chicago, IL
- $72,000 - $141,000 a year
- Full-time
- Hybrid work
- Computer science
- 8 years
- Experience equivalent to degree accepted

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sr manager, ai platform architecture jobs near chicago, il

Senior Manager, AI Platform Architecture

Calance US -
Bolingbrook, IL

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Job Details

Full-time
$160,000 - $190,000 a year
3 days ago

Qualifications

AI models
Performance monitoring
Cloud identity and access management (IAM)
IT governance
Databricks
Azure
Cloud Logging
Continuous Delivery (CD) implementation
Cloud security design
Cloud governance
Spark
Generative models
11+ years
AI platforms (beyond public GPTs)
E-commerce
Compliance management implementation
Snowflake
Prompt engineering
Infrastructure architecture design
Global team management
Reducing cloud infrastructure costs
Machine learning cloud services
AWS
IT monitoring tools
Model deployment
Data access controls implementation
Security Governance (information security management)
Leading team collaboration initiatives
Monitoring system implementation
Identity and access management (IAM) architecture design

Full Job Description

What we're looking for
We need candidates who can go beyond strategy and team leadership and speak in detail about the architecture and implementation of enterprise AI platforms. Now do we need them to be able to go deep on everything below? No, that s not realistic, but I hope this helps to paint a better picture of what to target in future conversations.

The strongest candidates should be able to discuss:
Agentic AI platform design and architecture
Multi-agent orchestration patterns
State and memory management approaches
LLM-as-a-Judge frameworks
MCP (Model Context Protocol) servers and agent integration frameworks
RAG architectures, context management, and knowledge services
Semantic layer strategy and tooling
Human-in-the-loop workflows
Prompt management and agent lifecycle/versioning
AI platform governance and operational controls
Security & Governance Depth

Candidates should be able to describe:
AI permissions and security strategies
Identity and access management approaches
Multi-agent security frameworks
Strategies for securing sensitive data in LLM environments
Model Armor, guardrails, and enterprise AI controls
Compliance, auditability, and responsible AI practices
AI Platform Operations & Observability

We're specifically looking for leaders who have personally driven or architected:
MLOps / AIOps frameworks
Logging and monitoring pipelines
Agent and model observability
Cost observability and optimization
Datadog and/or similar observability platforms
Continuous training and deployment pipelines
CI/CD processes for AI platforms
Cloud & Platform Architecture

The ideal candidate should be able to discuss trade-offs and design decisions across:
Vertex AI / GCP
Databricks
OpenAI ecosystem
Gemini ecosystem
Build vs. buy decisions
Platform selection criteria
Enterprise-scale AI infrastructure design
Example of the level of detail we're seeking

Rather than saying:
"I led an AI platform team that built agents."

We'd expect candidates to be able to explain:
"We standardized on Vertex AI with LangGraph for orchestration, implemented a multi-agent architecture with shared memory services, used RAG backed by Databricks vector search, integrated an MCP layer for tool connectivity, implemented evaluation using LLM-as-a-Judge frameworks, and monitored agent performance and cost through Datadog and custom observability dashboards."

Going forward, we'd appreciate candidates who have demonstrable hands-on architecture experience in enterprise AI platforms, not primarily people leadership or program oversight. We are specifically looking for leaders who can speak in detail about agentic architectures, MLOps/AIOps, AI governance, platform security, observability, Vertex AI/Databricks ecosystems, and the technical design decisions behind those implementations. The ideal candidate should be comfortable operating at both the leadership level and the architectural implementation level.

Retail or eCommerce experience
Generative AI / LLM platform experience
Agentic AI frameworks and implementations
Snowflake, Kafka, Spark
Advanced observability and monitoring platforms
Multi-cloud experience
Responsible AI governance programs
AI cost optimization experience
Databricks certifications
Experience leading globally distributed teams

Nice to Have Skills:
Retail or eCommerce experience
Generative AI / LLM platform experience
Agentic AI frameworks and implementations
Snowflake, Kafka, Spark
Advanced observability and monitoring platforms
Multi-cloud experience
Responsible AI governance programs
AI cost optimization experience
Databricks certifications
Experience leading globally distributed teams

Technologies resource will be touching:
Databricks
GCP
AWS
Azure
AI/ML platforms
MLOps frameworks
CI/CD pipelines

Ideal Candidate:
Senior Manager, AI Platform Engineering or AI Platform Architect with 12 18 years of experience building enterprise AI/ML platforms. Strong background in Databricks, cloud architecture, MLOps, platform engineering, AI governance, and leading teams of engineers and architects. Experience supporting AI model development and deployment at scale while partnering with data science, product, security, and infrastructure team

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Refine Your Search

sr manager, ai platform architecture jobs in chicago, il

Senior Manager, AI Platform Architecture

Sr. Manager, AI Platform Engineering

Senior Development Manager - Multifamily & Affordable Housing

Technical Infrastructure & Cloud Architect

Oracle HCM Solution Architect

Expert Senior Manager, AI Engineering

Sr. Engineering Manager - Transportation

Lead System Test Engineer (Audio & Video Solutions)

Chief Architect, Retail

Senior Interiors Project Manager

Expert Senior Manager, Engineering Excellence

Senior Lead Field Architect

Senior Business Development Manager

Sr. Manager, External Reporting

Lead Mulesoft Developer

Principal Group Product Manager, B2B (Auth0)

Principal Group Product Manager, B2B (Auth0)

Sr. Engineering Manager - Transportation

Expert Consultant, Coro, AI Engineer

Senior AI Engineer - Guidewire

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