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TECHNICAL ARCHITECT AI
TECHNICAL ARCHITECT AIPurple Drive • Valencia, California, USA
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TECHNICAL ARCHITECT AI

TECHNICAL ARCHITECT AI

Purple Drive • Valencia, California, USA
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Position Overview

We are seeking a highly skilled Technical Architect (AI) to join our this role you will leverage your expertise in Generative AI LLMs NLP and machine learning to design and implement innovative AI-driven solutions. The ideal candidate will have a deep understanding of architectural design RAG pipelines AI agents guardrails and the latest advancements in large language models . You will play a key role in delivering cutting-edge solutions working with large-scale data and building systems that enhance automation intelligence and efficiency for our clients.

Key Responsibilities

AI Solutioning & Architecture

  • Lead the design and implementation of end-to-end AI solutions ensuring scalability robustness and efficiency aligned with business needs.
  • Architect RAG pipelines using frameworks like LangChain LlamaIndex or custom-built stacks .
  • Design Agentic AI architectures including task-based agents stateful memory planning-execution workflows and tool augmentation .

Data Strategy & AI Model Development

  • Define and execute data strategies for collection cleaning transformation and integration.
  • Fine-tuning & Prompt Engineering : Fine-tuning pre-trained models (e.g. GPT BERT etc.) and optimize prompt engineering techniques to drive high-quality actionable outputs for diverse business use cases.
  • Perform embeddings generation evaluation of outputs and incorporate human / automated feedback loops .
  • Apply advanced NLP techniques such as tokenization prompt engineering and query optimization.
  • Machine Learning & Deep Learning Models : Build train and deploy machine learning models including deep learning models for complex AI applications across various domains.
  • AI Guardrails & Safety

  • Build and enforce guardrails for model safety and compliance including prompt validation output moderation and access controls .
  • Ensure solutions meet data governance compliance and security standards .
  • Deployment & Cloud-Native Enablement

  • Collaborate with teams to deploy solutions in AWS cloud-native environments (Bedrock Lambda ECS SageMaker CDK).
  • Oversee CI / CD pipelines API integrations and scalable production deployments .
  • Lead LLM provisioning from AWS balancing performance and cost-effectiveness.
  • Deployment & Evaluation : Oversee the deployment of AI models ensuring smooth integration with production systems and perform rigorous evaluation of LLMs for accuracy efficiency and scalability.
  • Observability & post-deployment

  • Contribute to system observability.
  • Support post-deployment monitoring optimization and retraining cycles for LLM-driven systems.
  • Technologies & Frameworks

    LLM : Expertise in AWS Bedrock

    RAG : LangChain LlamaIndex CrewAI VectorDB

    Programming : Python

    Cloud Platforms : AWS (Bedrock SageMaker Lambda CDK)

    Data & Databases : SQL NoSQL Data Lakes Data Warehouses.

    Orchestration & Deployment : CI / CD pipelines containerized microservices Kubernetes.

    Required Skills & Qualifications

  • Proven production experience with RAG pipelines (LangChain LlamaIndex or custom stacks).
  • Strong understanding of Agentic AI patterns : task agents memory / state tracking orchestration.
  • Expertise in LLM fine-tuning embeddings evaluation strategies and feedback integration .
  • Hands-on experience with AI guardrails (moderation filtering prompt validation).
  • Proficiency in Python vector DBs and LLM APIs .
  • Familiarity with CI / CD API integration and cloud-native deployments .
  • Strong database management skills (SQL & NoSQL).
  • Excellent communication solutioning and leadership capabilities.
  • 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

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