Top 9 Kubernetes microsoft quantum ai Jobs

AI Integration Specialist
Trauma Healing Accelerated —Remote
- $55,000 - $75,000 a year
- Full-time
- Remote
- Azure
- Salesforce
- Windows
Quick Apply
10d
Infrastructure Engineer (Systems and DevOps)
Quantum US —Centennial, CO
- $115,000 - $145,000 a year
- Hybrid work
- 5 years
- DevOps
- Office
- Employee stock purchase plan
- Health insurance
Quick Apply
Member of Technical Staff, Microsoft Robotics (Spatial AI)
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Doctoral degree
- Computer Science
5d
Senior/Staff Software Engineer - Infrastructure and Devops (Bay Area)
Fortanix —Santa Clara, CA
- $155,000 - $230,000 a year
- Full-time
- Hybrid work
- Azure
- 6 years
- Computer Science
- Wellness program
- Disability insurance
Quick Apply
Member of Technical Staff, Microsoft Robotics (Robot Learning)
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Background check
- Computer Science
- Mid-level
5d
Staff Software Engineer - Rust and Distributed Systems (Bay Area, hybrid)
Fortanix —Santa Clara, CA
- Full-time
- Hybrid work
- Azure
- System design
- 8 years
- 401(k)
Quick Apply
Member of Technical Staff, Microsoft Robotics (Software Systems)
Microsoft —Redmond, WA
- $119,800 - $261,000 a year
- Full-time
- Background check
- Computer Science
- System design
5d
Product Support Engineer (US based)
Fortanix —United States
- $70,000 - $120,000 a year
- Full-time
- Remote
- 5 years
- Mid-level
- AWS
- Wellness program
- Disability insurance
Quick Apply
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AI Integration Specialist

Trauma Healing Accelerated
Remote

Quick Apply

Job Details

Full-time | Contract
$55,000 - $75,000 a year
10 days ago

Qualifications

AI models
Azure
Git
Microservices
AWS

Full Job Description

Job Overview
We are seeking a dynamic and highly skilled AI Implementation Specialist to lead the deployment and integration of cutting-edge artificial intelligence solutions across diverse business environments. In this role, you will drive the design, development, and execution of AI systems that enhance operational efficiency, improve decision-making processes, and deliver innovative solutions to complex challenges. Your expertise will be vital in translating business needs into scalable AI architectures, ensuring seamless integration with existing IT infrastructure, and maintaining optimal system performance. This position offers an exciting opportunity to shape the future of AI-driven initiatives within a forward-thinking organization committed to technological excellence.

Responsibilities

Lead the end-to-end implementation of AI solutions, including system design, development, testing, and deployment.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for AI applications.
Develop and optimize data pipelines using ETL (Extract, Transform, Load) processes to ensure high-quality data for AI models.
Architect scalable AI systems leveraging service-oriented architecture (SOA), microservices, and cloud platforms such as AWS or Azure.
Integrate AI models with existing enterprise systems like Salesforce, Pegasystems, or custom APIs using RESTful services and web services protocols.
Conduct system hardening, vulnerability assessments, and implement security measures including cloud security practices, firewalls, VPNs, and network security protocols.
Utilize programming languages such as Python, JavaScript, C#, or Ruby on Rails for developing and debugging AI components while adhering to SDLC (Software Development Life Cycle) best practices.
Manage system administration tasks including load balancing, virtualization with VMware or ESXi, container orchestration with Kubernetes, and continuous integration/continuous deployment (CI/CD) pipelines with Jenkins or similar tools.
Ensure compliance with IT standards by implementing system design principles related to operating systems (Linux/Windows), network configurations (DNS, DHCP), and system management tools like GPO (Group Policy Objects).
Stay abreast of emerging trends in quantum engineering, threat intelligence, information security, and vulnerability management to enhance system robustness.

Skills

Extensive experience with solution architecture and system design for AI applications within enterprise environments.
Proficiency in developing and managing data pipelines using ETL tools and databases such as MySQL, PostgreSQL, Oracle, Microsoft SQL Server, NoSQL databases like Cassandra or MongoDB.
Strong understanding of computer networking concepts including DNS, DHCP, VPNs, firewalls, load balancing techniques, and network security best practices.
Hands-on expertise in cloud platforms such as AWS or Azure for deploying scalable AI solutions with virtualization technologies like VMware or ESXi.
Knowledge of programming languages including Python, JavaScript (React Express), C#, C++, Ruby on Rails, VBA, Shell Scripting (Bash), and XML for application development and automation tasks.
Familiarity with DevOps practices involving Git version control systems and CI/CD tools like Jenkins for streamlined deployment workflows.
Experience working within Agile methodologies to facilitate iterative development cycles aligned with SDLC principles.
Ability to perform vulnerability assessments and implement system hardening measures to safeguard enterprise infrastructure against threats.
Understanding of web services standards such as SOAP and RESTful APIs for seamless integration across diverse platforms.
Knowledge of containerization (Kubernetes), virtualization (VMware/ESXi), and system management tools for efficient resource utilization. Join us as an AI Implementation Specialist to be at the forefront of technological innovation! Your expertise will empower organizations to harness the full potential of artificial intelligence—delivering impactful solutions that transform industries while advancing your career in a vibrant environment committed to excellence in technology.

Pay: $55,000.00 - $75,000.00 per year

Work Location: Remote

Quick Apply

Refine Your Search

kubernetes microsoft quantum ai jobs

AI Integration Specialist

Infrastructure Engineer (Systems and DevOps)

Member of Technical Staff, Microsoft Robotics (Spatial AI)

Senior/Staff Software Engineer - Infrastructure and Devops (Bay Area)

Member of Technical Staff, Microsoft Robotics (Robot Learning)

Staff Software Engineer - Rust and Distributed Systems (Bay Area, hybrid)

Member of Technical Staff, Microsoft Robotics (Software Systems)

Product Support Engineer (US based)

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