AI Solution Architect
Core
Architect, develop, and manage enterprise AI platform layers, MLOps/LLMOps platforms, and scalable agentic applications.
Role type
Senior AI Solution Architect (Platform Engineering)
Builds
Enterprise AI platforms, MLOps/LLMOps infrastructure, agentic applications, and cloud-native backend systems.
Domain
Healthcare AI, Cloud Infrastructure, Distributed Systems
Required skills
Kubernetes, MLOps, LLMOps, Model Serving, Feature Stores, AutoML, LangChain, LangGraph, Terraform, Ansible, Python, Go, GPU Infrastructure, Distributed Architectures, SRE practices, FinOps governance, RBAC, SSO, LDAP, CI/CD coordination, Agile delivery, Technical Documentation, Team Mentoring
Preferred skills
Large-model fine-tuning (DeepSpeed, vLLM, SGLang, TorchTune), Ray, Vector/Graph Databases, Pharmaceutical/Life Sciences domain experience, GxP compliance, RDMA networking, NVIDIA toolchains
Technologies
Kubernetes, LangChain, LangGraph, DeepSpeed, vLLM, SGLang, TorchTune, Ray, Terraform, CloudFormation, Ansible, Packer, GitLab CI/CD, JFrog, Prometheus, Grafana, OpenTelemetry, ELK, Kafka, RabbitMQ, AWS, Alibaba Cloud, Linux, RHEL, CentOS, NVIDIA drivers
Responsibilities
Design AI gateways, governance frameworks, and security compliance controls; Lead large-scale AI platform projects and Agile delivery; Evaluate AI hardware, storage, and data center networks; Automate infrastructure and security hardening; Mentor engineers and maintain technical knowledge bases.
Seniority
Senior, hands-on IC with leadership responsibilities
