Senior AWS DevOps Engineer – AI Platform EnablementAegistech • Boston, MA, United States

Senior AWS DevOps Engineer – AI Platform Enablement

Aegistech • Boston, MA, United States

1 day ago

Job type

Full-time

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.

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