AI Solution Architect_Boston
Tasks
- Architect event driven and asynchronous microservices
- Architect prompt injection protection and access controls
- Create integration blueprints for SQL and NoSQL databases
- Define enterprise reference architectures for multi agent systems
- Design enterprise multi tenant AI platform architectures
- Design integration patterns for enterprise systems
- Drive development standards design patterns and code review guidelines
- Evaluate and select LLMs vector databases and orchestration frameworks
- Implement AI governance security and safety blueprints
- Lead TCO latency and token optimization strategies
- Mentor distributed engineering teams
- Standardize LLMOps observability and evaluation frameworks
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Agent systems | Asynchronous Microservices | Autogen | Azure OpenAI | CI/CD | Continuous Evaluation | CrewAI | Docker | Drift monitoring | Embedding Models | Event Driven | Event-driven architecture | Fine Tuning | Generative AI | Google Vertex | Google Vertex AI | Graph Databases | Hallucination prevention | Hybrid search | IAM | Infrastructure as Code | Injection Protection | Kafka | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Multi-Agent | Multi-Agent Systems | Observability | OpenSearch | PGVector | PII masking | Pinecone | Prompt engineering | Prompt injection | Prompt-injection protection | Python | Qdrant | RAG | RBAC | REST APIs | RabbitMQ | Red Teaming | Redis | Reranking | Retrieval-Augmented Generation | Security | Terraform | Token optimization | Tracing | Vector Databases | Vector Search | Vertex AI | “as-code”
Education
N/A
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