Senior AWS DevOps Engineer – AI Platform Enablement

Overview

Build and operate secure AWS AI platform infrastructure, CI/CD, and compliance.

Key Responsibilities

• ci/cd pipelines
• aws infra
• security guardrails
• monitoring
• devsecops
• environment provisioning

Tasks

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

Requirements

• aws
• terraform
• ci/cd
• devops
• ai/ml
• communication

What You Bring

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. While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking. The ideal candidate combines deep AWS technical expertise with a pragmatic, people-oriented approach to bridge between innovation and enterprise IT standards. -Exposure to multi-agent systems, Bedrock AgentCore, LangChain, or similar frameworks. -Prior experience supporting AI or data platform teams. -AWS certifications (e.g., Solutions Architect, DevOps Engineer, Security Specialty). -Proven expertise with AWS services: VPC, IAM, Lambda, ECS/EKS, API Gateway, CloudFront, S3, CloudWatch, CloudFormation/CDK, KMS, Cognito, Secrets Manager. -7+ years of DevOps / Cloud Engineering experience, with 4+ years on AWS in production environments. -Familiarity with AI/ML workflows (SageMaker, Bedrock, Databricks, or similar). -Excellent communication and collaboration skills — able to explain technical decisions to IT, security, and data teams. -Background in hybrid enterprise environments (AWS + Azure). -Infrastructure and pipelines are fully automated, observable, and secure — without bottlenecks. -Strong understanding of networking, identity federation (Azure AD / Okta), and data security. -Experience managing CI/CD pipelines (CodePipeline, GitHub Actions, or Jenkins). -Hands-on experience implementing security guardrails and compliance controls in AWS. -Proficiency with Terraform or CDK for Infrastructure as Code. -IT leadership gains confidence in the AI team’s DevOps maturity and control mechanisms.

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Benefits

At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That’s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.

About Suffolk Construction

-From its Boston headquarters, they expanded through strategic acquisitions in healthcare and regional offices across the US. -Their portfolio spans iconic projects like Wynn Everett casino, GE’s Boston headquarters, major airports, and mixed-use towers. -They offer full-spectrum services: pre-construction, construction management, general contracting, and design-build. -They operate Centers of Excellence across sectors such as aviation, mission-critical, education, healthcare, and hospitality. -Their approach combines cutting-edge technologies like AI, VR, and virtual design with collaborative, people-focused execution. -Notable innovations include VR groundbreaking ceremonies and AI-driven risk modeling on complex builds. -Projects range from large-scale casinos and airport terminals to universities, residential towers, and mission-critical facilities. -Despite its scale, they maintain a reputation for a regimented culture and a meritocratic, performance-driven ethos.

Sector Specialisms