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
Deliverable
production ML models | product features | infrastructure
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
