Senior AWS DevOps Engineer - AI Platform Enablement

Job Description

Role Overview:

• We are seeking a seasoned AWS DevOps Engineer to join our growing AI Platform team, responsible for building and operating the next-generation Agentic AI infrastructure that powers intelligent automation across the enterprise.
• This individual will play a key role in establishing the DevOps, security, and compliance foundations for our AWS-based AI platform — while working collaboratively with both the AI Studio engineering team and the Enterprise IT organization to ensure governance, reliability, and speed of innovation.
• The ideal candidate combines deep AWS technical expertise with a pragmatic, people-oriented approach to bridge between innovation and enterprise IT standards.

Responsibilities:

Key Responsibilities:

• Design, implement, and maintain AWS infrastructure supporting AI development, model orchestration, and agentic systems (e.g., Bedrock, Lambda, ECS/EKS, API Gateway).
• Build and manage CI/CD pipelines for AI and data applications using AWS CDK / CloudFormation / CodePipeline / Terraform.
• Implement security guardrails and compliance controls (IAM, KMS, network segmentation, audit logging) aligned with IT standards — but autonomously within the AI environment.
• Partner with the IT security and cloud teams to ensure adherence to cybersecurity insurance and data governance requirements.
• Manage monitoring, observability, and cost-optimization for AI workloads (CloudWatch, X-Ray, Config, Trusted Advisor).
• Enable rapid development cycles for the AI team by streamlining environment provisioning, model deployment, and access management.
• Serve as the bridge between AI Engineering and IT, building mutual trust through transparency, security-minded automation, and operational excellence.
• Document and evangelize best practices in DevSecOps, Infrastructure as Code, and model lifecycle management.

Qualifications:

Required Qualifications:

• 7+ years of DevOps / Cloud Engineering experience, with 4+ years on AWS in production environments.
• Proven expertise with AWS services: VPC, IAM, Lambda, ECS/EKS, API Gateway, CloudFront, S3, CloudWatch, CloudFormation/CDK, KMS, Cognito, Secrets Manager.
• Experience managing CI/CD pipelines (CodePipeline, GitHub Actions, or Jenkins).
• Strong understanding of networking, identity federation (Azure AD / Okta), and data security.
• Familiarity with AI/ML workflows (SageMaker, Bedrock, Databricks, or similar).
• Hands-on experience implementing security guardrails and compliance controls in AWS.
• Proficiency with Terraform or CDK for Infrastructure as Code.
• Excellent communication and collaboration skills — able to explain technical decisions to IT, security, and data teams.

Preferred Qualifications:

• Prior experience supporting AI or data platform teams.
• Exposure to multi-agent systems, Bedrock AgentCore, LangChain, or similar frameworks.
• Background in hybrid enterprise environments (AWS + Azure).
• AWS certifications (e.g., Solutions Architect, DevOps Engineer, Security Specialty).

Success Indicators:

• AI development team can deploy and operate independently within compliant AWS guardrails.
• IT leadership gains confidence in the AI team’s DevOps maturity and control mechanisms.
• Infrastructure and pipelines are fully automated, observable, and secure — without bottlenecks.

Summary:

This is a hands-on DevOps leadership role at the intersection of AI innovation and enterprise trust. You will empower cutting-edge AI development while ensuring the environment remains compliant, secure, and sustainable — helping shape the company’s next generation of intelligent construction technology.