AWS Cloud & AI Platform Engineer
VSG Business Solutions LLC
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Job summary
VSG Business Solutions LLC seeks an experienced AWS Cloud & Platform Engineer II to advance enterprise AI/ML capabilities in a secure, governed cloud. You will design and support AWS-based AI/GenAI platforms, enabling experimentation, POCs, model development, and enterprise adoption of AI solutions.
The role collaborates with engineering, security, risk, data, and business teams to build scalable AI platform capabilities aligned with enterprise standards and regulatory requirements.
Qualifications
- Bachelor's degree or higher in a technical field.
- 9+ years of experience in cloud platform engineering or enterprise tech delivery.
- Hands-on with AWS cloud platforms and AI/ML technologies.
- Experience operationalizing Generative AI/AI/ML platforms.
- Strong cloud automation, DevOps, and IaC skills.
- Ability to collaborate with cross-functional enterprise teams.
Responsibilities
- Design, implement, and support secure and scalable AI/GenAI platform capabilities.
- Build reusable frameworks, services, and reference architectures.
- Architect and maintain AWS infrastructure using IaC and automation.
- Support AWS AI/ML services (Bedrock, SageMaker, S3, Lambda, API Gateway, Lex).
- Enable experimentation, POCs, and production-ready AI solutions.
- Develop AI platform standards, guardrails, and governance artifacts.
- Collaborate with Agile squads and platform teams.
Skills
Education
Tools
Job description
We are seeking an experienced AWS Cloud & AI Platform Engineer II to enable and advance enterprise AI and Machine Learning capabilities within a secure, scalable, and governed cloud environment.
The engineer will design, implement, and support AWS-based AI/ML and Generative AI platforms, enabling experimentation, proof of concepts, model development, and enterprise adoption of AI solutions.
This role will work closely with engineering, infrastructure, security, risk, data, and business teams to build reusable AI platform capabilities aligned with enterprise technology, security, regulatory, and operational standards.
- Design, implement, and support secure and scalable AI/GenAI platform capabilities.
- Build reusable frameworks, services, architectural patterns, and enablement environments.
- Architect and maintain AWS cloud infrastructure using Infrastructure as Code (IaC) and automation.
- Support AWS AI/ML services including:
- Amazon Bedrock
- Amazon SageMaker
- Amazon S3
- AWS Lambda
- API Gateway
- Amazon Lex
- Enable AI/ML experimentation, POCs, and production-ready solutions.
- Evaluate and operationalize emerging AI/ML and Generative AI technologies.
- Develop AI platform standards, reference architectures, guardrails, and best practices.
- Support structured and unstructured data integrations and enterprise AI services.
- Enable Generative AI capabilities including:
- Prompt Engineering
- RAG
- Model orchestration
- AI evaluation frameworks
- Tool integration
- Agentic AI
- Work with frameworks such as LangChain and LlamaIndex.
- Support MCPs, vector databases, and enterprise AI integration architectures.
- Support model lifecycle management, observability, monitoring, and AI evaluation.
- Contribute to responsible and governed AI adoption.
- Provision, configure, automate, monitor, and support AWS cloud environments.
- Implement cloud infrastructure using Terraform, CloudFormation, or similar IaC tools.
- Develop CI/CD pipelines and DevOps automation.
- Support AWS services including:
- IAM
- CloudWatch
- S3
- Lambda
- API Gateway
- Bedrock
- SageMaker
- Design scalable, resilient, and operationally efficient cloud environments.
- Partner with engineering, infrastructure, security, risk, data, and business teams.
- Lead technical exploration and evaluation of emerging technologies.
- Develop technical documentation, architecture guidance, operational procedures, and governance artifacts.
- Collaborate with Agile squads and platform engineering teams.
- Help establish best practices for enterprise AI platform development and deployment.
- Take ownership of assigned platform initiatives and deliver solutions aligned with business priorities.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or related technical field.
- 9+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery.
- Hands-on experience with AWS cloud platforms and AI/ML technologies.
- Experience supporting or operationalizing Generative AI and AI/ML platforms.
- Strong experience with cloud infrastructure automation, DevOps, and IaC.
- Experience working with enterprise engineering, security, risk, infrastructure, data, and business teams.
- AWS Cloud
- AI Risk Management
- Generative AI / AI/ML
- Amazon Bedrock
- Amazon SageMaker
- S3, Lambda, API Gateway
- IAM & CloudWatch
- Terraform / CloudFormation
- CI/CD & DevOps
- Python
- SQL
- REST APIs / Cloud Integrations
- RAG
- Prompt Engineering
- AI/ML Model Evaluation
- LangChain / LlamaIndex
- Vector Databases
- Agentic AI
- MCP
- AI governance, security, risk, and compliance
The ideal candidate should be a senior AWS Cloud/Platform Engineer with strong hands-on Generative AI experience, rather than a pure Data Scientist or ML Researcher.
Look for candidates with a combination of:
- USC / GC and willing to convert to Fifth Third FTE
- 9+ years of overall technology experience
- Strong hands-on AWS experience
- Hands-on GenAI / Bedrock / SageMaker
- Strong Python and API skills
- Terraform / IaC / CI/CD
- Experience with RAG, LLMs, LangChain/LlamaIndex, vector databases, or agentic AI
- Experience working in secure, governed enterprise environments
- Strong understanding of AI risk, security, governance, and responsible AI
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