Triune Infomatics Inc
AWS Solutions Developer/Architect
Triune Infomatics Inc - Oakland, California, United States, 94616
Work at Triune Infomatics Inc
Overview
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Overview
Role: AWS Solutions Developer/Architect (Custom Q Business Integration)
Location: Hybrid, Oakland, CA
Duration: 6-12 months with possible extension
Overview:
Seeking a skilled AWS Solutions Developer to design and implement a custom integration between Amazon Q Business and AWS PCA (Post-Call Analytics sample AWS solution). Due to AI models' limitations in aggregating results across datasets and the available plugins in Amazon Q Business, requires a customized pipeline that can seamlessly deliver PCA insights into Q Business using AWS-native tools and Python. This solution will support our contact center analytics needs-primarily for the Treasurer-Tax Collector's Office-by enabling self-service access to post-call intelligence vi conversational interface.
Responsibilities:
Architect & Develop Custom Integrations
Design a serverless or containerized data pipeline to extract insights from AWS PCA (stored in S3 or other services) and make them accessible to Q Business. Ensure the pipeline handles relevant metadata and analytics (e.g., sentiment, categories, entities) in a Q-compatible format (e.g., RAG-compatible index, OpenSearch, DynamoDB) with security in mind
Data Transformation & Enrichment
Process call transcripts, metadata, and metrics using Python AWS SDKs (boto3). Normalize and structure PCA outputs for ingestion into a searchable store compatible with Q Business.
Interface with Q Business
Develop ingestion and indexing mechanisms aligned with Q Business standards (e.g., Amazon Q data connectors, custom index building). Enable advanced querying and filtering, with secure access controls integrated via IAM or Amazon Cognito.
Automation & Scalability
Automate periodic ingestion of new PCA data and re-indexing processes. Ensure performance, scalability, and cost-effectiveness of the solution.
Documentation & Handoff
Provide detailed documentation of the architecture, deployment process, and maintenance guidelines. Train internal technical teams and prepare knowledge transfer artifacts.
Required Skills:
AWS Core Services: Strong expertise in S3, Lambda, Q Business (Plugins), API Gateway, Step Functions, Athena, OpenSearch, DynamoDB, Glue, and IAM AWS AI/ML Services: Familiarity with AWS PCA, Amazon Q Business, and related generative AI and NLP tooling Programming: Advanced Python development with experience using boto3 and Pandas; working knowledge of REST APIs and event-driven architecture Data Modeling & Search Integration: Experience designing and indexing custom knowledge bases for retrieval-augmented generation (RAG) systems Security & Governance: Understanding of FedRAMP/State/County security compliance; role-based access control via IAM policies CI/CD & DevOps (Preferred): Experience using CloudFormation, Terraform, or CDK for infrastructure-as-code
Preferred Qualifications:
Experience with Amazon Q data source customization or conversational AI system/application development Prior work in government or public sector IT environments Experience with AWS Bedrock, LangChain, or other GenAI orchestration frameworks
Soft Skills:
Ability to work independently and collaboratively in a fast-paced environment Strong communication skills for interacting with technical and non-technical stakeholders Clear and concise documentation practices
Overview:
Seeking a skilled AWS Solutions Developer to design and implement a custom integration between Amazon Q Business and AWS PCA (Post-Call Analytics sample AWS solution). Due to AI models' limitations in aggregating results across datasets and the available plugins in Amazon Q Business, requires a customized pipeline that can seamlessly deliver PCA insights into Q Business using AWS-native tools and Python. This solution will support our contact center analytics needs-primarily for the Treasurer-Tax Collector's Office-by enabling self-service access to post-call intelligence vi conversational interface.
Responsibilities:
Architect & Develop Custom Integrations
Design a serverless or containerized data pipeline to extract insights from AWS PCA (stored in S3 or other services) and make them accessible to Q Business. Ensure the pipeline handles relevant metadata and analytics (e.g., sentiment, categories, entities) in a Q-compatible format (e.g., RAG-compatible index, OpenSearch, DynamoDB) with security in mind
Data Transformation & Enrichment
Process call transcripts, metadata, and metrics using Python AWS SDKs (boto3). Normalize and structure PCA outputs for ingestion into a searchable store compatible with Q Business.
Interface with Q Business
Develop ingestion and indexing mechanisms aligned with Q Business standards (e.g., Amazon Q data connectors, custom index building). Enable advanced querying and filtering, with secure access controls integrated via IAM or Amazon Cognito.
Automation & Scalability
Automate periodic ingestion of new PCA data and re-indexing processes. Ensure performance, scalability, and cost-effectiveness of the solution.
Documentation & Handoff
Provide detailed documentation of the architecture, deployment process, and maintenance guidelines. Train internal technical teams and prepare knowledge transfer artifacts.
Required Skills:
AWS Core Services: Strong expertise in S3, Lambda, Q Business (Plugins), API Gateway, Step Functions, Athena, OpenSearch, DynamoDB, Glue, and IAM AWS AI/ML Services: Familiarity with AWS PCA, Amazon Q Business, and related generative AI and NLP tooling Programming: Advanced Python development with experience using boto3 and Pandas; working knowledge of REST APIs and event-driven architecture Data Modeling & Search Integration: Experience designing and indexing custom knowledge bases for retrieval-augmented generation (RAG) systems Security & Governance: Understanding of FedRAMP/State/County security compliance; role-based access control via IAM policies CI/CD & DevOps (Preferred): Experience using CloudFormation, Terraform, or CDK for infrastructure-as-code
Preferred Qualifications:
Experience with Amazon Q data source customization or conversational AI system/application development Prior work in government or public sector IT environments Experience with AWS Bedrock, LangChain, or other GenAI orchestration frameworks
Soft Skills:
Ability to work independently and collaboratively in a fast-paced environment Strong communication skills for interacting with technical and non-technical stakeholders Clear and concise documentation practices