Technical Architect (Ai)(Only Local or CA)

Hope you are doing good

This is Raja from Tek Leaders. We have an urgent requirement below that is open with our client.

Title: Technical Architect (Ai)

Location : Valencia, CA (Onsite)

Duration: 6-month contract.

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.

Skill Matrix to be filled by Candidates:

Raja

Email ID:

Aakash Raja :