Lead AWS AI Platform Engineer

About the role

We're growing rapidly and are looking for a Lead AWS AI Platform Engineer to design, build, and support secure, scalable, and governed AI/ML and GenAI platforms. The engineer will help enable AI experimentation, POCs, model development, and enterprise adoption while ensuring alignment with security, risk, governance, and regulatory standards.

Responsibilities

• Architect and maintain AWS based AI/GenAI platform capabilities.
• Enable rapid AI experimentation, POCs, and production ready AI solutions.
• Build reusable frameworks, reference architectures, guardrails, and platform standards.
• Support AWS AI/ML services.
• Implement cloud infrastructure using IaC and DevOps practices.
• Support structured and unstructured data integration for AI solutions.
• Enable GenAI patterns, including prompt engineering, RAG, model orchestration, Agentic AI, and AI evaluation frameworks.
• Partner with engineering, security, risk, infrastructure, data, and business teams.
• Create technical documentation, governance artifacts, operational procedures, and best practices.
• Ensure AI solutions follow responsible AI, security, compliance, and risk standards.

Requirements

• 4+ years of proven experience designing and building AI platforms.
• Proven experience building AI capabilities with RAG architecture.
• Must have experience leading small teams.
• Strong hands-on AWS cloud engineering and platform operations experience.
• 6+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery.
• Experience operationalizing AI/ML or GenAI platforms in secure enterprise environments.
• Experience working with cross functional teams in regulated or governed environments.
• Experience with Bedrock, SageMaker, Lambda, S3, API Gateway, IAM, CloudWatch.
• IaC and CI/CD experience using tools such as Terraform, CloudFormation, Jenkins, GitHub.
• Strong programming/scripting skills, especially with Python.
• Familiarity with SQL, APIs, automation scripting, and integration patterns.
• Knowledge of AI frameworks and architecture patterns, including: LangChain, LlamaIndex, MCP, Vector databases, and RAG architecture.
• Understanding of model lifecycle, observability, AI evaluation, and responsible AI practices.
• Experience with Docker, Terraform, Git/GitHub, CI/CD pipelines, and DevOps practices.
• Bachelor's degree in Computer Science, IT, Engineering, Data Science, Math, or related field.

Qualifications

• To Be Successful In This Role:
• 4+ years of proven experience designing and building AI platforms.
• Proven experience building AI capabilities with RAG architecture.
• Must have experience leading small teams.
• Strong hands-on AWS cloud engineering and platform operations experience.
• 6+ years of experience in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology delivery.
• Experience operationalizing AI/ML or GenAI platforms in secure enterprise environments.
• Experience working with cross functional teams in regulated or governed environments.
• Experience with Bedrock, SageMaker, Lambda, S3, API Gateway, IAM, CloudWatch.
• IaC and CI/CD experience using tools such as Terraform, CloudFormation, Jenkins, GitHub.
• Strong programming/scripting skills, especially with Python.
• Familiarity with SQL, APIs, automation scripting, and integration patterns.
• Knowledge of AI frameworks and architecture patterns, including: LangChain, LlamaIndex, MCP, Vector databases, and RAG architecture.
• Understanding of model lifecycle, observability, AI evaluation, and responsible AI practices.
• Experience with Docker, Terraform, Git/GitHub, CI/CD pipelines, and DevOps practices.
• Bachelor's degree in Computer Science, IT, Engineering, Data Science, Math, or related field.