AWS Cloud & AI Platform Engineer II

The AWS AI Platform Engineer is responsible for enabling and advancing enterprise AI and machine learning capabilities within a secure, governed, and scalable technology environment. This role architects, implements, and maintains AI enablement platforms and services that support rapid experimentation, proof of concepts, model development, and enterprise adoption of GenAI and AI/ML solutions. The position is accountable for enabling AI services, maintaining cloud and platform environments, and supporting data integrations., * Enable, architect, and support secure, governed, and scalable AI/GenAI platform capabilities to accelerate enterprise AI adoption.

• Design, implement, and maintain AI enablement environments, services, frameworks, and reusable architectural patterns.
• Architect, provision, and maintain AWS cloud-based AI platform infrastructure and shared services using Infrastructure as Code (IaC) and automation pipelines.
• Enable and support AWS AI/ML and cloud-native services such as Amazon Bedrock, SageMaker, S3, Lambda, and API Gateway.
• Partner with cross-functional teams including engineering, infrastructure, security, risk, and data stakeholders.
• Evaluate, enable, and operationalize emerging AI/ML and Generative AI technologies for enterprise use cases.
• Establish and maintain AI platform standards, reference architectures, guardrails, and best practices.
• Support the integration of structured and unstructured data sources, cloud-native AI services, and APIs.
• Create and maintain technical documentation, architectural guidance, and operational procedures.
• Collaborate with agile squads, platform engineering teams, and product stakeholders to deliver enabling capabilities.

Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related technical discipline. An advanced degree is preferred but not required.

Experience: 9+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology solution delivery within secure and governed environments. Experience enabling, supporting, or operationalizing AI/ML and Generative AI platforms, cloud-native services, and enterprise technology capabilities in AWS environments is required. Candidates should have hands-on experience with AWS cloud platform services, infrastructure automation, and DevOps/IaC practices.

Technical Skills: Proficiency in Infrastructure as Code (IaC), CI/CD automation, and DevOps practices using tools such as Terraform, Jenkins, or CloudFormation. Strong programming and scripting skills with proficiency in Python and familiarity with SQL and APIs. Experience with AWS AI/ML services like Amazon Bedrock and SageMaker is necessary. Knowledge of AI orchestration frameworks such as LangChain and LlamaIndex is also required.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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