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AI Architect – GCP / Generative AI
Apolis
🇺🇸 United States
On-site
Mid level
2 days ago
$60 – $62 / hour
- AI
- GCP
- Machine Learning
- AI/ML
- Natural Language Processing
- Python
- RAG
- MLOps
- Microservices
- IAM
- Large Language Models
- BigQuery
- GKE
- Vector Search
- Terraform
- CI/CD
2 days ago
AI Architect – GCP / Generative AI
Location: Charlotte, NC – Onsite
Experience: 12+ Years
Job Summary
We are seeking an experiencedAI Architect / GCP AI Architect with strong hands-on architecture and AI/ML engineering experience to design and deliver scalableAI, NLP, LLM, Generative AI, and conversational AI solutions.
The ideal candidate will have strong expertise inPython, NLP, Generative AI, LLMs, RAG, Agentic AI, LLMOps/MLOps, and Google Cloud Platform (GCP), along with experience designing enterprise-scale AI solutions.
Key Responsibilities
- Architect and deliver scalable AI/ML solutions usingGCP and Generative AI technologies.
- Design enterprise solutions leveragingLLMs, RAG, Agentic AI, NLP, and conversational AI.
- Develop and implement AI solutions supporting high-volume customer interactions.
- Provide hands-on technical leadership across AI/ML architecture and engineering initiatives.
- Design AI/ML pipelines and supportLLMOps/MLOps practices.
- Collaborate with data engineering, software engineering, and business teams to define AI solution architecture.
- Develop scalable and secure AI applications using Python and cloud-native technologies.
- Design integrations using APIs, microservices, and cloud services.
- Support model deployment, monitoring, optimization, and lifecycle management.
- Apply appropriate security, IAM, and cloud architecture practices.
- Provide technical guidance on emerging Generative AI and Agentic AI technologies.
Required Skills
- 12+ years of experience in AI/ML with strong hands-on architecture experience.
- Strong experience withAI/ML Solution Architecture.
- Hands-on expertise inGenerative AI and Large Language Models (LLMs).
- Strong understanding ofAgentic AI and RAG architectures.
- StrongNLP experience.
- StrongPython development experience.
- Hands-on experience withGoogle Cloud Platform (GCP).
- Experience withLLMOps/MLOps.
- Experience designing scalable enterprise AI solutions.
- Strong understanding of AI/ML engineering, architecture, and deployment practices.
Good to Have
- BigQuery
- GKE
- Vector Search
- Data Engineering
- Microservices
- APIs
- IAM / Cloud Security
- Terraform
- CI/CD
- MLOps
- Cloud-native AI application development
AI Architect – GCP / Generative AI · Apolis