AWS AI Ops Infrastructure Engineer

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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

• 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

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.