AI Platform Technical Architect&nbsp at Tror AI for everyone

Job Title: AI Platform Technical Architect Location: San Jose CA Duration: Long term contract Job Description: 6-10 years of experience in Designing and implementing large-scale distributed systems microservices serverless and event-driven architectures. 5-8 years of experience in Cloud-native architecture experience in Azure / AWS / GCP including networking storage compute scaling GPU workloads and managed AI services. 5-8 years of experience with platform components API design integration patterns and high-performance computer architecture. 4-7 years of experience building or integrating AI/ML platforms pipelines model lifecycle components inference gateways and/or enterprise GenAI frameworks. 3-6 years of experience using AI platform tools such as Databricks Vertex AI Azure AI Studio AWS Bedrock Lang Chain Prompt Flow Ray Kubeflow MLflow Airflow Kafka etc. 2-5 years of experience in designing and integrating vector database solutions such as Pinecone Weaviate FAISS Milvus Qdrant Elastic OpenSearch Cosmos DB Vector. 2-3 years of experience in LLM architectures embeddings tokenization prompt engineering evaluation strategies hallucination reduction and RAG patterns. 2-3 years of experience building GenAI applications agent workflows or knowledge retrieval systems using frameworks like Lang Chain Llama Index Graph RAG or custom implementations. Technical skills: As a Technical Architect specializing in LLMs and Agentic AI you will own the architecture strategy and delivery of enterprise-grade AI solutions. You will work with cross-functional teams and customers to define the AI roadmap design scalable solutions and ensure responsible deployment of Generative AI across the organization: Primary Responsibilities: Architect scalable and secure AI/ML/LLM platform solutions including data model and inference pipelines. Establish enterprise reference architectures reusable components best practices and governance standards for AI adoption. Integrate cloud-native open-source and enterprise tools such as vector databases feature stores registries and orchestration frameworks. Implement automated MLOps/LLMOps workflows covering deployment monitoring observability compliance and performance optimization. Collaborate with cross-functional teams (engineering data science security and product) to align platform capabilities with business goals and drive adoption. Secondary Responsibilities: Support GenAI and AI application teams by providing platform enablement solution advisory and architecture reviews. Conduct technology research PoCs benchmarking and evaluate emerging AI tools frameworks and deployment patterns. Drive knowledge sharing through documentation workshops training sessions and internal community building initiatives. Provide guidance on cost estimation usage monitoring finops optimization and capacity planning. Partner with security compliance and cloud teams to ensure alignment with regulatory data privacy and policy frameworks. Key Skills APIs,SOAP,Software Architecture,.NET,Design Patterns,Enterprise Software,AWS,Solution Architecture,Cloud Architecture,Java,SSO,Oracle Employment Type : Full Time Experience: years Vacancy: 1