GENAI CCAS App Developer

Overview

Remote
On Site
USD 50.00 - 52.00 per hour
Full Time

Skills

Generative Artificial Intelligence (AI)
Computer Science
Software Development
Recovery
SAFE
Application Development
Routing
Real-time
Transcription
Storage
Encryption
Orchestration
Amazon Lambda
Python
Evaluation
Threat Modeling
PASS
DevSecOps
Git
Continuous Integration
Continuous Delivery
Documentation
Telephony
Performance Tuning
Quality Assurance
Workflow
Prompt Engineering
Virtual Private Cloud
Amazon S3
Data Security
Process Automation
WAF
Amazon CloudFront
Analytics
Dashboard
Privacy
Regulatory Compliance
Data Retention
FISMA
FedRAMP
Artificial Intelligence
Amazon Web Services
DevOps
CISSP
Cisco Certifications
TCM
DICE

Job Details

JOB TITLE: GENAI CCAS APP DEVELOPER
JOB LOCATION: REMOTE
WAGE RANGE*: 50.00-52.00 PER HOUR
JOB NUMBER:
SAIJP00038387

REQUIRED EXPERIENCE:
  • Bachelor's degree in Computer Science, Engineering, or related field and 2-4 years of relevant experience; or a Master's with
  • 2+ years of software development with Python, including building and troubleshooting AWS Lambda functions.
  • Hands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).
  • Experience integrating Lex V2 bots with Amazon Connect flows.
  • Familiarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.
  • Infrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.

JOB DESCRIPTION
  • Amazon Connect application development and configuration:
    • Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.
    • Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.
    • Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.
    • Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.
    • Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.
  • AI orchestration and backend services:
    • Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.
    • Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.
    • Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.
    • Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.
  • Data safety and compliance:
    • Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.
    • Enforce PII minimization and redaction policies in Amazon Connect conversation logs.
    • Participate in threat modeling and support remediation of findings for contact center integrations.
  • Web and chat integration:
    • Support CloudFront + WAF configurations for secure web chat entry points.
    • Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.
  • DevSecOps and operations:
    • Contribute to Git-based CI/CD pipelines, code reviews, and documentation.
    • Maintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.
    • Create and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.

Preferred Qualifications
  • Practical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.
  • Experience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.
  • Experience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.
  • Experience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.
  • Knowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.
  • Familiarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).
  • Experience with AWS WAF, CloudFront, and edge security patterns.
  • Observability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.
  • Understanding of privacy/compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.
  • Certifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP.

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities

* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

#Dice
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.