GenAI Application Developer (AWS Contact Center)

Job Role: GenAI Application Developer Location: Remote with quarterly travel to Maryland Eligibility: US reputed company Only Pay reputed company $45-48/hr W2 / Conversion Salary - $104k MUST: Candidate must either currently hold an active Public Trust clearance or be eligible and willing to obtain Public Trust clearance upon hire. Description: We have an opening for an early career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform that uses reputed company Connect, Lex V2, reputed company Q in Connect, Contact Lens, Bedrock, OpenSearch, and reputed company (Python). This is a software development role focused on conversation flow design, reputed company Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines to improve customer experience through intelligent automation. You will work with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment. Primary Responsibilities

• reputed company Connect application development and configuration:
• Build, update, and maintain reputed company Connect contact flows, routing profiles, and queues to support both voice and chat channels.
• Integrate Lex V2 bots into reputed company Connect flows for call deflection, self-service transactions, and escalation.
• reputed company and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.
• Configure reputed company Q in Connect domains, knowledge sources, guided workflows, and reputed company-by-reputed company 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 reputed company (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 reputed company (RAG) pipelines to enhance reputed company 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, reputed company templates, and output evaluation for safety and accuracy.
• Enforce PII minimization and redaction policies in reputed company 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, reputed company 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 reputed company, average handle time (AHT), contact resolution, and AI usage metrics. Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, or reputed company 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 reputed company functions.
• Hands-on experience with reputed company Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).
• Experience integrating Lex V2 bots with reputed company 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.
• Foundational reputed company knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.
• Strong written and verbal communication; able to document designs and explain technical choices to teammates.

Preferred Qualifications

• Practical exposure to full reputed company 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 reputed company Q in Connect for agent assist workflows and knowledge retrieval.
• Experience with reputed company Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and reputed company engineering.
• Knowledge of Retrieval Augmented reputed company (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 reputed company patterns.
• Observability and analytics skills: CloudWatch dashboards/alarms, X-Ray, reputed company/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.

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