Tekcog
Technical Architect - AI Platform
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Technical Architect - AI Platform in Santa Clara, CA, with a contract duration of over 6 months. Pay ranges from $131,362.47 to $180,000 per year. Key skills include extensive experience in AI/ML, cloud-native architecture, and platform integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
818
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🗓️ - Date
December 12, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA 95110
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🧠 - Skills detailed
#ML (Machine Learning) #Azure #Cloud #MLflow #Airflow #OpenSearch #GCP (Google Cloud Platform) #Kafka (Apache Kafka) #Langchain #AWS (Amazon Web Services) #Microservices #Storage #API (Application Programming Interface) #AI (Artificial Intelligence) #Databricks
Role description
Role: Technical Architect - AI Platform
Location: Santa Clara, CA (NEED LOCALS)
Required skills:
10-16 years of experience in AI/ML-related roles, with a strong focus on LLM's & Agentic AI technology.
6-10 years of experience in Designing and implementing large-scale distributed systems, microservices, serverless, and event-driven architectures.5-8 years of experience n 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 compute 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, LangChain, PromptFlow, 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, CosmosDB 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 LangChain, LlamaIndex, GraphRAG, or custom implementations.
Job Types: Full-time, Contract
Pay: $131,362.47 - $180,000.00 per year
Work Location: In person
Role: Technical Architect - AI Platform
Location: Santa Clara, CA (NEED LOCALS)
Required skills:
10-16 years of experience in AI/ML-related roles, with a strong focus on LLM's & Agentic AI technology.
6-10 years of experience in Designing and implementing large-scale distributed systems, microservices, serverless, and event-driven architectures.5-8 years of experience n 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 compute 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, LangChain, PromptFlow, 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, CosmosDB 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 LangChain, LlamaIndex, GraphRAG, or custom implementations.
Job Types: Full-time, Contract
Pay: $131,362.47 - $180,000.00 per year
Work Location: In person
