AES - DE - Generative AI Solution Architect
Tasks
- Act as technical authority for GenAI engagements and internal initiatives
- Architect end to end Generative AI solutions using LLMs and vector databases
- Design reference architectures for conversational AI document intelligence code generation knowledge assistants and workflow automation
- Guide teams on prompt engineering RAG fine tuning and evaluation
- Mentor architects engineers and data scientists in GenAI technologies
- Review and approve architecture designs code patterns and deployment strategies
- Translate business requirements into scalable secure cost effective GenAI architectures
Perks/Benefits
- N/A
Skills/Tech-stack
12-Factor | 12-Factor App | APIs | AWS | ActiveMQ | Agile | Apache Camel | Atlassian Bitbucket | Atlassian Confluence | Atlassian Jira | Azure | Beats | CI/CD | Caching systems | Cassandra | Cloud Architecture | Core Java | Cucumber | Distributed Systems | Docker | Domain-Driven Design | ELK Stack | Elasticsearch | Embeddings | Evaluation | Event Streaming | Event streaming databases | FEAF | Gartner | Generative AI | Google Cloud | Hazelcast | Hazelcast IMDG | Hibernate | Ignite | In-Memory Computing | In-memory) | J2EE | JMS | JNDI | JSON | JUnit | Java | JavaScript | Kafka | Kafka event streaming | Kibana | Kubernetes | LLM orchestration | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | Logstash | Logstash Pipelines | MLOps | MODAF | Microservices | Model versioning | MongoDB | Monitoring | MySQL | NoSQL | OAuth 2 | OAuth 2 0 | OpenAPI Specification | Oracle Database | PostgreSQL | Prompt engineering | Python | RAG patterns | RESTful API | RabbitMQ | Redis | Relational databases | Retrieval-Augmented Generation | Secure Coding | Semantic Kernel | Semantic Retrieval | Spring Boot | Streaming Databases | TOGAF | Vector Search | XML | XML Parsing | XSLT | Zachman Framework
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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