AI Architect with AWS Bedrock

About the Role

The ideal candidate brings 8 – 10 years of hands-on experience and is proficient in industry-leading tools and technologies such as AWS, Databricks. Strong domain knowledge in key practices including AI/ML Strategy, AWS Cloud Governance, Data Mesh & Analytics, AI Ethics & Security, Analytics Background and more is essential for this role. This role requires strong ability to collaborate with cross-functional teams, identify defects early in the development cycle, and ensure high-quality product delivery.

Experience Required: 8 – 10 years

Pay Rate: 80000 – 173800 USD yearly

Primary Skills

• AWS
• Databricks

Secondary Skills

• AI/ML Strategy
• AWS Cloud Governance
• Data Mesh & Analytics
• AI Ethics & Security
• Analytics Background
• AI Integration

Responsibilities

• Design the architectural framework for scaling Artificial Intelligence and Machine Learning models. This includes building pipelines for LLMs, Generative AI, and predictive analytics.
• Act as the lead architect for AWS environments, ensuring best practices in VPC design, serverless architectures (Lambda), and cost optimization (FinOps).
• Overhaul legacy data silos into a modern Data Lakehouse or Data Mesh architecture to support real-time business intelligence and data-driven decision-making.
• Establish guardrails for data privacy in AI models and ensure AWS security protocols (IAM, GuardDuty) are strictly followed.

Requirements

• AWS Certifications: Highly preferred (e.g., AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer).
• Proven track record of designing platforms that handle Petabyte-scale data and complex ETL/ELT processes.
• Experience moving AI projects from 'Proof of Concept' (PoC) to full-scale enterprise production.