Top 9 Hallucination ChatGPT Azure cloud Jobs

Sr Cloud Architect
ABACUS —Remote
- Weekends as needed
- Remote
- Azure
- 5 years
- DevOps
- Wellness program
- Disability insurance
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Associate Software Engineer JobID-0050
Innovative Defense Technologies —Arlington, VA
- $72,000 - $114,450 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Commuter assistance
- Paid holidays
Quick Apply
13d
Associate Software Engineer - JobID-838
Innovative Defense Technologies —Mount Laurel, NJ
- $72,000 - $114,450 a year
- Full-time
- Azure
- Computer Science
- Mid-level
- Commuter assistance
- Paid holidays
Quick Apply
14d
Generative AI Applications Engineer (Agents & RAG)
Accenture Federal Services —San Francisco, CA
- $103,200 - $203,400 a year
- Remote
- Azure
- AWS
- Mentoring
3d
Data Scientist - AI Engineer
US Office of the Inspector General, USPS —Arlington, VA
- $85,447 - $158,322 a year
- Online Application
- Azure
- Computer Science
- Pass drug screening
- Paid holidays
- Health insurance
6d
Solution Engineer
Matrix-International Financial Services —United States
- Full-time
- Azure
- System design
- Mid-level
Lead AI Engineer
UKG (Ultimate Kronos Group) —United States
- $129,500 - $186,100 a year
- Hybrid work
- Azure
- Java
- 8 years

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Sr Cloud Architect
ABACUS —Remote
You will serve as a technical leader and subject matter expert, providing strategic guidance on cloud architecture, security, cost optimization, and the secure…
Quick Apply
Associate Software Engineer - JobID-838
Innovative Defense Technologies —Mount Laurel, NJ
Ability to design, develop, and analyze algorithms and backend software systems. Engineers Solutions: Design, develop, document, and test backend software…
$72,000 - $114,450 a year
Quick Apply
14d

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Sr Cloud Architect

ABACUS -
Remote

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Job Details

Benefits

Wellness program
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance
Life insurance

Qualifications

Project stakeholder communication
Stakeholder management

Full Job Description

Summary

As a Senior Cloud Architect on our Cloud Engineering team, you will lead the design and implementation of complex cloud solutions for our clients across multiple cloud platforms. You will serve as a technical leader and subject matter expert, providing strategic guidance on cloud architecture, security, cost optimization, and the secure adoption of enterprise AI capabilities. You will mentor junior team members while driving innovation and best practices across the organization.

The Senior Cloud Architect designs complex, enterprise-grade cloud solutions that address sophisticated business requirements across multi-cloud and hybrid environments. Through expert-level understanding of cloud architecture and emerging technologies, you will lead architectural reviews, optimize cloud costs, and ensure solutions meet the highest standards of security, scalability, and reliability. This role requires deep expertise in multiple major cloud platforms and the ability to align technical solutions with business strategy, including the secure and well-governed integration of enterprise AI services into client environments.

Responsibilities (including, but not limited to the following)

Lead the design and implementation of complex cloud solutions for clients with sophisticated requirements
Provide expert-level strategy and technical guidance on cloud architecture across multiple platforms
Design and architect complex cloud solutions that span multi-cloud and hybrid environments
Lead architectural reviews and provide authoritative guidance on design decisions
Implement and optimize complex cloud security controls and compliance frameworks
Conduct cloud cost optimization assessments and provide strategic recommendations to maximize ROI
Mentor and provide technical leadership to junior cloud engineers and architects
Lead client engagements as the primary technical authority on cloud solutions
Drive the adoption of cloud best practices and emerging technologies across the organization
Guide clients on the secure adoption and integration of enterprise AI platforms (such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, or ChatGPT Enterprise), including governance and data handling considerations
Advise on data readiness for AI, including sensitivity labeling, permissions hygiene, and oversharing remediation in Microsoft 365 and related platforms
Architect multi-region solutions with sophisticated disaster recovery and business continuity planning
Develop and maintain cloud architecture standards, patterns, and governance frameworks
Translate complex business objectives into comprehensive technical architectures
Evaluate and recommend new cloud services and technologies to solve advanced business challenges
Lead proof-of-concept initiatives for emerging cloud technologies
Provide thought leadership on cloud strategy and roadmap development

Skills

Must be able to articulate complex technical architectures to executive leadership and diverse stakeholders
Ability to deliver innovative, enterprise-grade technology solutions for clients
Ability to lead projects under pressure and with competing priorities
Highly analytical thinker with advanced troubleshooting and problem-solving skills
Must have availability to occasionally work nights and some weekends
Expert knowledge of multiple major public cloud platforms (Azure, AWS, and/or Google Cloud) including advanced networking, compute, security, IAM, and cost optimization
Expert technical skills with Windows Server Technologies, including Active Directory and hybrid identity solutions
Proficiency with git and version control in conjunction with Azure DevOps repositories
Deep familiarity with containerization, Kubernetes, and cloud-native application architectures
Expert understanding of Windows and Linux environments at the enterprise scale
Expert understanding of deploying to Azure using Terraform and other Infrastructure as Code tools
Advanced understanding of deploying to Azure using CI/CD processes with complex pipelines
Advanced experience with administering Microsoft Fabric
Ability to align cloud solutions to complex business needs and strategic objectives
Solid proficiency in PowerShell and/or Python with working familiarity in Bash and other scripting languages
Ability to read, understand, and optimize complex code and infrastructure configurations
Deep understanding of cloud economics and ability to optimize costs at enterprise scale
Expert knowledge of security frameworks, compliance requirements, and risk management
Fundamental understanding of how generative AI and large language models work, including their limitations (hallucination, prompt injection, non-determinism) and practical mitigations for production use
Working knowledge of enterprise AI platforms such as Microsoft 365 Copilot, Copilot Studio, Claude Enterprise, and ChatGPT Enterprise, including their security, governance, and data handling considerations
Understanding of AI skills and agentic behavior, including tool use, orchestration patterns, and failure modes
Working knowledge of Microsoft Purview, particularly Data Loss Prevention (DLP), Information Protection, and Insider Risk Management, and how these underpin safe enterprise AI adoption
Familiarity with Azure AI Foundry, Amazon Bedrock, or Amazon SageMaker; Google Vertex AI experience a bonus
Understanding of data readiness principles for AI, including permissions hygiene, oversharing remediation, and sensitivity labeling
Awareness of AI regulatory considerations in the US or UK, particularly data residency and auditability (helpful, not required)

Qualifications

5+ years of experience in cloud engineering and architecture
Proven track record designing and implementing complex, enterprise-scale cloud solutions
Senior-level certifications in multiple cloud platforms (e.g., AWS Solutions Architect Professional, GCP Professional Cloud Architect, AZ-305)
Demonstrated experience leading cloud architecture for organizations or major clients
Expert understanding of multi-cloud and hybrid cloud architectures
Proven experience with cloud migration strategies and execution at scale
Knowledge of industry standard security frameworks and compliance requirements (e.g., SOC 2, ISO 27001, NIST, HIPAA, PCI-DSS)
Expert problem-solving, troubleshooting, and analytical skills
Demonstrated leadership abilities including mentoring junior team members
Advanced automation capabilities with Infrastructure as Code and CI/CD pipelines
Expert understanding of Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and serverless architectures
Understanding of enterprise AI deployments (e.g., Microsoft 365 Copilot rollouts, Copilot Studio agents, Azure AI Foundry, Amazon Bedrock, Amazon Q Business, Google Vertex AI, or Gemini for Google Workspace)
Strong project management and stakeholder communication skills
Experience architecting solutions in highly regulated industries (financial services, healthcare) strongly preferred
Experience in the financial sector a plus
Experience working at an MSP a plus

The Benefits of Working for Abacus:

Exposure to diverse array of technologies
Part of a team of experienced engineers who aim to deliver exceptional service
Competitive compensation
Robust benefits package: medical, dental, vision, disability, life insurance, 401k, and PTO
Opportunities to further education through our Employee Certification program
Positive, friendly, supportive office environment
Workplace perks such as healthy snacks, wellness program, and fun events

Quick Apply

Refine Your Search

Hallucination ChatGPT Azure cloud jobs

Sr Cloud Architect

Associate Software Engineer JobID-0050

Associate Software Engineer - JobID-838

Generative AI Applications Engineer (Agents & RAG)

Data Scientist - AI Engineer

Solution Engineer

Lead AI Engineer

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