AI Engineering – Enterprise AI, Cloud & Platform Transformation

Salary: $200,000 – $220,000

Role Summary: We are seeking an experienced Principal AI Platform Engineer / AI & Cloud Platform Architect to lead the design, engineering, and operation of enterprise-scale AI platforms. This role combines AI engineering, enterprise platform architecture, cloud transformation, Site Reliability Engineering (SRE), and production operations. The ideal candidate brings extensive experience across AI, DevOps, cloud engineering, platform engineering, and AIOps/observability. The role requires hands-on Python development, experience deploying AI/ML solutions in production, and the ability to design secure, scalable, and reliable platforms for mission-critical or regulated environments.

Key Responsibilities: Design, build, and maintain enterprise-scale AI platforms and cloud infrastructure. Develop and integrate AI solutions using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. Implement and operate AIOps and observability platforms to monitor system performance, reliability, and operational health. Lead cloud transformation initiatives across AWS, Azure, and/or Google Cloud Platform (GCP).Support production AI/ML environments, including model deployment, monitoring, lifecycle management, and optimization. Develop infrastructure automation, CI/CD pipelines, and platform engineering capabilities. Implement scalable infrastructure using technologies such as Kubernetes, Docker, Terraform, and service meshes. Integrate AI development tools and engineering copilots into software engineering workflows. Collaborate with architecture, operations, security, and delivery teams to ensure platform reliability, security, and scalability. Establish engineering standards and operational practices for mission-critical and regulated platforms.

Note: Candidates are not required to have experience with every named technology. Assessment should focus on transferable technical capabilities, relevant platform experience, and demonstrated implementation of AIOps or observability solutions.

Ideal Candidate Profile: Senior-level engineer or architect with a strong combination of AI engineering, enterprise platforms, and cloud operations experience. Hands-on Python developer with practical experience building or integrating AI solutions. Proven track record designing enterprise platforms and supporting production AI/ML workloads. Demonstrated experience implementing AIOps or observability platforms. Experience with at least one major cloud provider. Able to coordinate effectively across technical architecture, security, operations, and delivery teams. Comfortable evaluating and adopting relevant technologies without requiring experience with every product listed.