Job Title: AI/ML Solutions Architect (AWS)
Location: Charlotte NC (Hybrid)
Job Type: Contract
Tax Term: C2C/W2
Job Summary
We are seeking an experienced AI/ML Solutions Architect with 8 12 years of experience to design build and implement scalable cloud native solutions on AWS. The ideal candidate will bring deep expertise in Artificial Intelligence and Machine Learning concepts along with hands on experience in Docker Kubernetes and AWS Machine Learning services. This role is critical in enabling innovation driving platform architecture decisions and delivering secure resilient solutions in a hybrid work environment.
Experience
8 12 years of overall IT experience
Proven background in solution or platform architecture preferably in AI/ML driven environments
Required Skills
AWS Machine Learning services
Artificial Intelligence (AI) & Machine Learning (ML) concepts
Docker
Kubernetes
Cloud native architecture and distributed systems
Nice to Have Skills
MLOps frameworks and practices
CI/CD pipelines for ML workloads
Experience deploying AI/ML models at scale
Python or other ML centric programming languages
Key Responsibilities
Architecture & Design
Design and implement AI/ML based solutions on AWS to support business and platform objectives
Define scalable secure and resilient cloud architectures using containerized and orchestrated environments
Translate business requirements into technical architecture and solution designs
Cloud & Platform Engineering
Build and deploy solutions leveraging AWS ML services Docker and Kubernetes
Collaborate with DevOps and platform teams to enable CI/CD pipelines and automated deployments
Ensure high availability performance and scalability of AI/ML platforms
Technical Leadership
Establish and promote architecture standards best practices and guardrails
Provide technical guidance and mentorship to engineering teams
Review designs and implementations to ensure alignment with architectural principles
Collaboration & Operations
Partner with cross functional teams to deliver innovative AI/ML solutions
Support troubleshooting and resolution of platform and deployment issues
Stay current with emerging AI/ML and cloud technologies and recommend adoption where appropriate
Years of Experience: 12
Job Title: AI/ML Solutions Architect (AWS) Location: Charlotte NC (Hybrid) Job Type: Contract Tax Term: C2C/W2 Job Summary We are seeking an experienced AI/ML Solutions Architect with 8 12 years of experience to design build and implement scalable cloud native solutions on AWS. The ideal candidate...
Job Title: AI/ML Solutions Architect (AWS)
Location: Charlotte NC (Hybrid)
Job Type: Contract
Tax Term: C2C/W2
Job Summary
We are seeking an experienced AI/ML Solutions Architect with 8 12 years of experience to design build and implement scalable cloud native solutions on AWS. The ideal candidate will bring deep expertise in Artificial Intelligence and Machine Learning concepts along with hands on experience in Docker Kubernetes and AWS Machine Learning services. This role is critical in enabling innovation driving platform architecture decisions and delivering secure resilient solutions in a hybrid work environment.
Experience
8 12 years of overall IT experience
Proven background in solution or platform architecture preferably in AI/ML driven environments
Required Skills
AWS Machine Learning services
Artificial Intelligence (AI) & Machine Learning (ML) concepts
Docker
Kubernetes
Cloud native architecture and distributed systems
Nice to Have Skills
MLOps frameworks and practices
CI/CD pipelines for ML workloads
Experience deploying AI/ML models at scale
Python or other ML centric programming languages
Key Responsibilities
Architecture & Design
Design and implement AI/ML based solutions on AWS to support business and platform objectives
Define scalable secure and resilient cloud architectures using containerized and orchestrated environments
Translate business requirements into technical architecture and solution designs
Cloud & Platform Engineering
Build and deploy solutions leveraging AWS ML services Docker and Kubernetes
Collaborate with DevOps and platform teams to enable CI/CD pipelines and automated deployments
Ensure high availability performance and scalability of AI/ML platforms
Technical Leadership
Establish and promote architecture standards best practices and guardrails
Provide technical guidance and mentorship to engineering teams
Review designs and implementations to ensure alignment with architectural principles
Collaboration & Operations
Partner with cross functional teams to deliver innovative AI/ML solutions
Support troubleshooting and resolution of platform and deployment issues
Stay current with emerging AI/ML and cloud technologies and recommend adoption where appropriate
Years of Experience: 12
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