AWS Architect

Overview

Hybrid
$80 - $90
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Artificial Intelligence
Business Q
PVC

Job Details

Role: AWS Solutions Developer (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 via a 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.