Solution Architect, AWS Generative AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the technical design and results of an AWS-native retrieval platform project.

• Develop and obtain approval for the target architecture utilizing Amazon Bedrock Knowledge Bases, OpenSearch Serverless, S3, API Gateway, and Lambda.

• Establish a security architecture that encompasses IAM, least privilege, encryption, VPC endpoints, secrets management, and entitlement-aware retrieval permissions.

• Manage the retrieval API contract and Integration Blueprint for the Agent Assist provider.

• Determine and document strategies for chunking, embedding, hybrid search, metadata filtering, and cost-modeling.

• Conduct the end-of-Phase-1 technical re-baselining checkpoint and identify triggers for change control.

• Review taxonomy and metadata models to ensure compatibility for index filtering.

• Create the operations design, including CloudWatch monitoring and runbooks.

• Lead the transition readiness review during weeks 9–10 and co-sign the readiness checklist with the client.

• Advocate for architectural decisions to the client’s IT, Security, and the Agent Assist provider.

• Act as the escalation point for engineers during the hypercare phase.

⛳️ Requirements

• Over 10 years of experience in software or cloud engineering.

• More than 5 years of experience in designing production systems on AWS.

• At least two completed projects involving generative AI or search retrieval using Amazon Bedrock or Amazon OpenSearch.

• Practical experience with Bedrock Knowledge Bases data sources and synchronization, OpenSearch Serverless vector collections, API Gateway, Lambda, IAM policy authoring, KMS, and CloudWatch.

• Experience in designing permission-aware retrieval systems for Microsoft 365 content using SharePoint and Teams via Microsoft Graph with Entra app registration, or similar enterprise content platforms.

• Proven ability to write architecture and API documents that receive client security team approval on the first or second review.

• Experience serving as the named technical lead on a fixed-fee or fixed-scope engagement lasting 8–16 weeks.

• Capability to present to CIO or VP-level audiences and engage in client interviews prior to project kickoff.

• AWS Certified Solutions Architect Professional and AWS Certified Generative AI Developer Professional certifications are preferred.

• Previous experience with Oracle B2C Service (RightNow) knowledge APIs or Sitecore content APIs is preferred.

• Familiarity with contact center Agent Assist integrations is preferred.

• Knowledge of SOC 2 or ISO 27001 control language is preferred.

• Must have the legal right to work in the United States.

• Proficiency in English is required.

🏝️ Benefits

• Global team promoting collaboration across diverse cultures and continents.

• Inclusive environment that emphasizes continuous learning, innovation, and ethical AI standards.

• Opportunities to influence real-world AI-driven projects across various industries.

• Equal opportunity employer.