Design and build scalable AI-enabled platforms, modernize cloud-native infrastructure, and support enterprise AI workloads. Key responsibilities include developing and optimizing AI/ML platforms, automating CI/CD pipelines, and implementing infrastructure-as-code. Strong AWS experience and solid programming skills in Python are required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We are partnering with a leading enterprise organization to hire a Platform Engineer (AI & Cloud) to help modernize data platforms and scale next-generation AI capabilities in a fully remote environment.
This role is critical to enabling parallel AI deployments, accelerating CI/CD automation, and building the foundational infrastructure that powers enterprise-scale AI systems.
Location & Schedule:
- 100% Remote (U.S.-based preferred; not limited to Illinois)
- Standard business hours (CST collaboration preferred)
- No regular travel required
Role Overview:
This Platform Engineer will design and build scalable AI-enabled platforms, modernize cloud-native infrastructure, and support enterprise AI workloads. You’ll work across AWS, DevOps, and Kubernetes ecosystems to implement robust CI/CD pipelines, infrastructure as code, and production-grade machine learning systems. This is a hands-on engineering role for someone who thrives in fast-paced, innovation-driven environments.
Key Responsibilities:
- Design, build, and maintain scalable cloud-native platforms and distributed systems
- Develop and optimize AI/ML platforms including LLMs, RAG pipelines, and agentic AI systems
- Automate CI/CD pipelines and implement infrastructure-as-code using Terraform
- Build and manage Kubernetes-based environments, including cluster lifecycle and deployments
- Develop inference-serving platforms for AI and deep learning applications
- Create reusable internal tools, SDKs, and shared services for engineering teams
- Establish best practices for deployment, monitoring, observability, and incident response
- Collaborate cross-functionally with data scientists, ML engineers, and platform teams
- Drive platform modernization and architecture initiatives
- Ensure secure authentication/authorization (SSO, OAuth2, OIDC, etc.)
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Required Qualifications:
- 3–8 years of experience in Platform Engineering, DevOps, or Data Engineering
- Strong AWS experience (cloud-native infrastructure, services, deployments)
- Hands-on experience with DevOps practices and CI/CD pipelines
- Experience with Infrastructure as Code tools (Terraform required)
- Solid Kubernetes experience (deployment, scaling, orchestration)
- Proven experience working with AI/ML systems or AI-enabled platforms
- Strong programming skills in Python (additional languages a plus)
- Experience with distributed systems and microservices architectures
- Excellent communication and collaboration skills
Nice-to-Have Qualifications:
- Experience in pharmaceutical or regulated industries
- Exposure to AWS SageMaker or similar ML platforms
- Familiarity with multi-agent AI systems or vector databases
- Experience with languages such as Go, Rust, Node.js, or C/C++
- Understanding of DevSecOps best practices
What Makes This Role Unique:
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- Opportunity to build cutting-edge AI platforms at enterprise scale
- Fully remote with strong cross-functional collaboration
- Blend of AI, cloud, and DevOps innovation in one role
- High-impact work influencing platform strategy and modernization
- Fast interview process with quick hiring turnaround
Engagement Details:
- Contract Duration: 6 months (with potential extension)
- Compensation: Competitive hourly rates (W2 and C2C options available; pay dependent on experience)
Interview Process:
- 1 round panel interview
Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.
Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.
California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Interested candidates—apply today to be considered for this high-impact AI engineering opportunity.
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