AWS AI Ops Infrastructure Engineer

Location: Charlotte (NC) | Employment Type: Full Time - 40 hours per week | Job Level: T4 | Work Preference: Onsite at work location address | Job Code: 242687

Job Description:

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Job Title: AWS AI/ML Cloud Architect

Overview / Summary:
The AWS AI/ML Cloud Architect is responsible for designing, building, and supporting scalable AWS infrastructure to enable AI and machine learning workloads. This role focuses on architecting robust cloud environments, deploying AI solutions, and supporting tenants in a multi-cloud ecosystem while ensuring performance, security, and operational efficiency.

Key Responsibilities:

Design, develop, and enhance a scalable AWS infrastructure platform to support AI and machine learning workloads
Support all phases of development and modernization in a multi-cloud environment
Implement best practices for AWS cloud architecture, including security, performance, and high availability
Integrate and configure AWS services such as AWS SageMaker, AWS Lambda, Amazon Bedrock, and other AI-related services
Deploy AWS AI solutions across the platform to meet tenant requirements
Automate the deployment of AI services
Monitor platform health, performance, and security using tools such as Amazon CloudWatch, AWS Security Hub, and AWS Config
Support tenants by troubleshooting issues, optimizing workloads, and assisting with onboarding and scaling
Provide ongoing platform support and resolve incidents and service requests in a timely manner
Identify opportunities for performance improvement and implement optimization solutions
Perform patching, updates, and enhancements to maintain platform security and currency
Develop automation scripts to manage cloud infrastructure and improve operational efficiency

Required Qualifications:

Bachelor’s degree with 10+ years of experience, or Master’s degree with 8+ years of experience
8+ years of experience designing, building, and monitoring AWS infrastructure
Experience implementing AWS AI/ML solutions and deploying models
Experience with AI/ML technologies
Familiarity with managing cloud systems and infrastructure-as-code tools
Solid understanding of networking, security, and system architecture
Experience with AWS AI Ops tools including Amazon Bedrock, CloudWatch, X-Ray, Model Context Protocol development, and observability tools
Experience with tools such as Moogsoft, BigPanda, Splunk, and ServiceNow
AWS certifications preferred

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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