Technical Architect

Technical Architect with bachelor's degree in computer science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a bachelor's degree in one of the a forementioned subjects. Job Duties and Responsibilities Ensure full and accurate adoption of modern software engineering and delivery practices, including Twelve-Factor (12-Factor) methodology, Agile, BDD, Stateless Design, and Java REST/Spring Boot-based Microservices integrated with Generative AI agents. Bring deep knowledge and experience in designing and implementing scalable solutions in the Cloud (AWS, OpenShift, Azure, AI Platform), specifically focusing on high-concurrency LLM (Large Language Model) orchestration and Vector Database deployment. Design frameworks for handling dynamic, use-case-specific prompts; oversee the fine-tuning of GPT and other LLMs to align with client-specific summarization and data insight requirements. Implement advanced Retrieval-Augmented Generation (RAG) methodologies; optimize vectorization techniques (Cosine Similarity, Dot Product) and design scalable indexing pipelines for large-scale data retrieval. Manage APIGEE Edge On-Premises and Hybrid infrastructures; handle customization and integration of AI endpoints, ensuring rate limiting and security for LLM token consumption. Design and develop security policies and custom integration with IAM Systems (Okta, Azure AD, PingID) to protect AI assets and data pipelines. Build secure integrations with Single Page Apps and Mobile Apps using OAuth2, SSO, OpenID Connect, and JWT for AI-driven visualization platforms. Enable complex call patterns for Intranet and Internet access to physical services and AI sandbox environments via virtual endpoints published to APIGEE. Ensure all legacy security models for AI and Backend APIs have a defined migration path or counterpart within the APIGEE ecosystem. Ensure the CI/CD pipeline covers the full lifecycle management for enterprise AI use cases, including model versioning, deployment of Spring Boot microservices, and Kafka-based data streams. Manage relationships with key technology and business partners to derive actionable insights from summarized AI data to aid executive decision-making. Technologies involved Java/J2EE (Java 17), Generative AI (GPT-4, Azure OpenAI, Ollama, Anthropic Claude, LangChain),VectorDatabases (OpenSearch, Pinecone), Oracle, APIGEE Edge / Hybrid, Spring / SpringBoot, Kafka / ActiveMQ, Python (AI Integration), RHDM (Drools), Microservices, AWS (EKS, Lambda, SageMaker), Docker/Kubernetes, Swagger/OpenAPI 3.x, BDD, Python ,Redis, New Relic, Splunk. Work location is Portland, ME with required travel to client locations throughout USA. Rite Pros is an equal opportunity employer (EOE). Please Mail Resumes to: Rite Pros, Inc. 565 Congress St, Suite # 305 Portland, ME 04101. #J-18808-Ljbffr