Top 18329 Cloud architect/engineer Jobs

Principal AI Engineer
CNA Insurance —Chicago, IL
- $97,000 - $189,000 a year
- Full-time
- Hybrid work
- Computer science
- Senior level
- Communication skills
Cloud Engineer
Leidos —St. Louis, MO
- $87,100 - $157,450 a year
- Full-time
- Bachelor of Science
- Writing skills
- System design
Cloud Engineer
HallieMorgan Technologies —Laurel, MD
- $120,000 - $140,000 a year
- Full-time
- Hybrid work
- 5 years
- Bachelor of Science
- DevOps
- Paid holidays
- Disability insurance
Quick Apply
API Cloud Engineer
ITAC Solutions —Birmingham, AL
- $125,000 a year
- System design
- Java
- JavaScript
Quick Apply
5d
GCP Cloud Engineer $65.00
Calance US —Denver, CO
- $65 - $70 an hour
- Contract
- Remote
- 5 years
- DevOps
- Windows
- AD&D insurance
- Disability insurance
5d
Cloud Engineer
Atlas Technica —Remote
- Full-time
- Remote
- Maintenance
- Mid-level
- AWS
Quick Apply
Cloud & IoT Service Engineer
Embedding VC —Los Angeles, CA
- Full-time
- Remote
- DevOps
- Mid-level
- Linux
- Health insurance
Quick Apply
Cloud Engineer
Sidekick Solutions LLC —Remote
- $100,000 - $126,000 a year
- Full-time
- Remote
- HIPAA
- Mid-level
- Windows
- Health insurance
- Paid time off
Cloud Architect
Millennium Info Tech Inc. —Trenton, NJ
- $75 - $80 a month
- Full-time
- Azure
- Office
- Windows
Quick Apply
Senior Cloud Engineer (Remote)
DV Trading —Chicago, IL
- Remote
- 5 years
- AWS
- Mentoring
Quick Apply
Cloud Migration Architect/Engineer
TELUS Digital —Ontario, CA
- $125,000 - $135,000 a year
- Full-time
- Remote
- HIPAA
- Linux
- Senior level
8d
Cloud Engineer
Mican Technologies —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Research
Cloud Engineer
UMB Financial Corporation —Kansas City, MO
- $91,950 - $157,630 a year
- Email
- Computer science
- Computer Science
- 5 years
- Paid holidays
- Health insurance
AWS Cloud Engineer
OOAC —Richmond, VA
- Email
- Azure
- Mid-level
- 3 years
Cloud DevOps Engineer 2
Changeis —Remote
- Remote
- Computer Science
- Databases
- Bachelor's degree
Quick Apply
AWS Cloud Architect
Conglomerate-IT —Atlanta, GA
- $60 - $70 an hour
- Contract
- Azure
- DevOps
- 8 years
Quick Apply
Cloud Software Engineer
Tactibit Technologies LLC —Remote
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
Quick Apply
Cloud Infrastructure Engineer (Azure/AWS)
SK AX USA Inc —Duluth, GA
- Full-time
- Computer Science
- 5 years
- System design
- Paid holidays
- Relocation assistance
Quick Apply
AWS Cloud Engineer Mid-level
The AES Group —Seattle, WA
- Remote
- Computer Science
- 5 years
- Mid-level
Quick Apply
Cloud Engineer
TanPro ITCorp —Seattle, WA
- DevOps
- Senior level
- Communication skills

I want to receive the latest job alert for cloud architect/engineer

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Principal AI Engineer

CNA Insurance -
Chicago, IL

Apply Now

Job Details

Full-time
$97,000 - $189,000 a year

Qualifications

Computer science
Senior level
Communication skills
10 years

Full Job Description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

Individual contributor providing the highest level of leadership in AI-native engineering, agentic system design, and applied AI solution development across CNA's Underwriting and Operations portfolio. This position has a deep understanding of AI engineering platforms, large language model (LLM) tooling, and enterprise software delivery from an end-to-end perspective. The focus of this position is designing and scaling AI-enabled solutions that integrate into underwriting workflows, drive measurable business impact, and establish durable AI engineering practices across the organization.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

Leads the scaling of AI solutions within the Underwriting portfolio, ensuring AI capabilities developed in product pods are industrialized into reliable, reusable, enterprise-grade services that integrate seamlessly into underwriting and operations workflows.

Partners closely with underwriting, operations, and product teams to translate domain-specific workflows into AI-enabled solutions — including submission intake, risk triage, data enrichment, pricing signals, and decision support — ensuring alignment to real-world underwriting processes and measurable business impact.

Designs AI integration patterns across core underwriting and operations systems — including underwriting workbench platforms and document processing pipelines — ensuring solutions are performant, scalable, and embedded directly into decisioning workflows.

Acts as a senior technical mentor, developing engineers across the organization in AI-native practices including agentic coding patterns, context engineering, prompt-to-code workflows, and AI-assisted testing. Builds durable, self-sustaining team capability without ongoing coaching dependency.

Establishes patterns for AI governance, explainability, and auditability in underwriting use cases, ensuring AI-driven decisions meet regulatory, compliance, and internal risk management expectations.

Drives reusability and cross-business-unit scalability of AI solutions, designing capabilities that can be leveraged across underwriting segments while accounting for differences in data, workflows, and risk profiles.

Researches, evaluates, and recommends AI engineering tools, frameworks, and infrastructure (e.g., eval platforms, agent orchestration systems, environment provisioning automation), supporting build-vs-buy decisions with a focus on long-term scalability and maintainability.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

Expert knowledge of AI-native engineering practices, including agentic system design, LLM integration, multi-agent orchestration, and context engineering.

Deep understanding of enterprise software delivery, including CI/CD pipelines, automated quality gates, cloud-native architecture, and production-grade system design.

Strong ability to translate complex business workflows — particularly in commercial insurance underwriting — into reliable, scalable AI-enabled solutions.

Demonstrated ability to advise on AI governance, model explainability, and regulatory compliance considerations in high-stakes or regulated environments.

Excellent analytical and problem-solving skills with the ability to evaluate build-vs-buy trade-offs and make sound architectural recommendations.

Proven ability to mentor and develop engineering talent, raising organizational capability in emerging AI practices.

Excellent communication and interpersonal skills with the ability to engage effectively with peers, technical leadership, and non-technical business stakeholders.

Working knowledge of the commercial insurance underwriting lifecycle, including submission intake, risk triage and appetite matching, underwriting analysis, and quote-to-bind processes.

Ability to translate underwriting judgment and business rules into AI-driven insights, model features, decision frameworks, and explainable outputs that can be trusted and adopted by underwriters.

Familiarity with regulatory and governance considerations impacting AI in insurance, including auditability, transparency, and appropriate use of AI in decisioning.

Education & Experience

Bachelor's degree in Computer Science, Engineering, or a related field required; Master's degree preferred.

Typically a minimum of 10 years of software engineering experience, with at least 3 years in a principal, staff, or architect-level role.

Demonstrated experience designing and deploying agentic AI systems or AI-native developer platforms in production environments.

Experience in commercial insurance or financial services, with familiarity in underwriting lifecycle processes, preferred.

Applicable certifications in AI, cloud, or related disciplines preferred.

#LI-KJ1 #LI-HYBRID

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $97,000 to $189,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA’s benefits, please visit cnabenefits.com.

CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [email protected]

Apply Now

Refine Your Search

cloud architect/engineer jobs

Principal AI Engineer

Cloud Engineer

Cloud Engineer

API Cloud Engineer

GCP Cloud Engineer $65.00

Cloud Engineer

Cloud & IoT Service Engineer

Cloud Engineer

Cloud Architect

Senior Cloud Engineer (Remote)

Cloud Migration Architect/Engineer

Cloud Engineer

Cloud Engineer

AWS Cloud Engineer

Cloud DevOps Engineer 2

AWS Cloud Architect

Cloud Software Engineer

Cloud Infrastructure Engineer (Azure/AWS)

AWS Cloud Engineer Mid-level

Cloud Engineer

I want to receive the latest job alert for cloud architect/engineer

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected