AWS Cloud & AI Platform Engineer

• ComResource is looking for an AWS Cloud & AI Platform Engineer.
• Enable, architect, and support secure, governed, and scalable AI and GenAI platform capabilities that accelerate enterprise AI adoption.
• Design, implement, and maintain AI enablement environments, services, frameworks, and reusable architectural patterns to support rapid experimentation, proof of concepts, and production readiness.
• Architect, provision, and maintain AWS cloud-based AI platform infrastructure and shared services using Infrastructure as Code, automation pipelines, and cloud engineering best practices.
• Enable and support AWS AI/ML and cloud-native services such as Amazon Bedrock, SageMaker, S3, Lambda, API Gateway, and related platform capabilities within secure and governed enterprise environments.
• Partner with cross-functional teams including engineering, infrastructure, security, risk, data, and business stakeholders to onboard and enable AI solutions aligned with enterprise governance and technology standards.
• Evaluate, enable, and operationalize emerging AI/ML and Generative AI technologies, services, and platforms for enterprise use cases and strategic initiatives.
• Establish and maintain AI platform standards, reference architectures, guardrails, and best practices for secure and responsible AI development and deployment.
• Support the enablement and integration of structured and unstructured data sources, cloud-native AI services, APIs, and enterprise platforms.
• Create and maintain technical documentation, architectural guidance, operational procedures, and governance artifacts related to AI enablement capabilities and platform services.
• Lead technical exploration, innovation initiatives, and technology evaluations to identify opportunities for improving AI platform capabilities, developer experience, scalability, and operational efficiency.
• Develop evaluation and governance frameworks to support model validation, responsible AI usage, monitoring, observability, and output quality assessments.
• Collaborate with agile squads, platform engineering teams, and product stakeholders to deliver enabling capabilities and technical solutions aligned with enterprise AI strategy and business priorities.
• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related technical discipline.
• 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.
• Hands-on experience with AWS cloud platform services, infrastructure automation, DevOps/IaC practices, and platform enablement frameworks.
• Strong understanding of AWS cloud platform engineering, including provisioning, configuration, automation, monitoring, and operational support.
• Experience enabling and supporting AWS AI/ML and GenAI services such as Amazon Bedrock, SageMaker, Lex, Lambda, API Gateway, S3, IAM, and CloudWatch.
• Proficiency in IaC, CI/CD automation, and DevOps practices using tools such as Terraform, Jenkins, CloudFormation, or GitHub.
• Strong programming and scripting skills with proficiency in Python and familiarity with SQL, APIs, automation scripting, and cloud integration patterns.
• Experience enabling Generative AI capabilities including prompt engineering, RAG, model orchestration, evaluation frameworks, tool integration, and agentic AI enablement patterns.
• Knowledge of AI orchestration frameworks such as LangChain, LlamaIndex, MCPs, and vector databases.
• Experience designing reusable frameworks, reference architectures, guardrails, and operational standards for secure and governed AI platform enablement.

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