AWS Certified AI Practitioner

Koniag Government Services

AWS AI practitioner designing intelligent automation, predictive analytics, and NLP solutions for a federal IT call center. Optimizing AWS Connect, SageMaker, and serverless workflows in a fully remote role.

Posted 8/5/2026full-timeRemote • Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AWS AI and ML solutions, with a strong focus on natural language processing, predictive analytics, and compliance with security standards. Proficient in developing AI-powered contact center capabilities and optimizing machine learning models for operational efficiency.

Highest-signal resume keywords

AWS AI/ML Solutions DesignAmazon Lex, Polly, Comprehend, Transcribe, SageMakerPredictive Analytics and Machine LearningAWS Certified AI PractitionerNLP and Sentiment Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS AI ServicesMachine Learning Model DevelopmentPython ProgrammingAWS LambdaSageMaker PipelinesData Privacy ComplianceFeature EngineeringModel Training and EvaluationConversational AISpeech-to-Text

Soft Skills

Strong Communication SkillsTechnical GuidanceKnowledge Sharing

Tools & Technologies

AWS ConnectAWS Step FunctionsAmazon EventBridgeSageMaker StudioMicrosoft Office SuiteMicrosoft TeamsSharePoint

Certifications & Qualifications

AWS Certified AI Practitioner

Industry Keywords

FedRAMP ComplianceCloud-Based Operational PlatformsAI-Powered Contact CenterOperational Decision-MakingQuality Assurance

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Identify, evaluate, and implement AWS AI and ML service solutions for IT Call Center operations
Design, develop, maintain, and optimize AWS AI and ML solutions using Amazon Lex, Polly, Comprehend, Rekognition, Transcribe, SageMaker, Bedrock, and related services
Implement AI-powered contact center capabilities in AWS Connect, including IVR, chatbots, call analytics, and agent assistance
Develop predictive analytics and machine learning models for call-volume forecasting, SLA-risk prediction, performance trends, and operational decision-making
Design NLP and sentiment-analysis solutions to analyze customer interactions and support quality assurance
Develop AI-powered workflow automation using AWS Lambda, EventBridge, Step Functions, and related services
Support SageMaker-based pipelines for training, testing, deployment, and monitoring of custom ML models
Align solution designs with AWS architecture standards, security requirements, and FedRAMP compliance
Monitor model performance, accuracy, and operational impact; perform updates, retraining, and optimization
Create technical documentation, architecture diagrams, model documentation, data-flow diagrams, and runbooks
Provide technical guidance on AWS AI/ML capabilities, solution design, and responsible AI
Support staff training and knowledge-sharing sessions
Contribute to business development, proposal efforts, technical solution concepts, and past-performance documentation

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Mathematics, or a related field; relevant experience may be considered in lieu of a degree
3+ years of hands-on experience designing, implementing, and managing AWS AI and ML solutions
Experience developing and deploying solutions with Amazon Lex, Amazon Comprehend, Amazon Transcribe, Amazon Polly, and/or Amazon SageMaker
Experience integrating AWS AI and ML services with cloud-based operational platforms and enterprise systems
AWS Certified AI Practitioner certification required at time of hire
Proficiency in AWS AI services including Amazon Lex, Polly, Comprehend, Transcribe, Rekognition, SageMaker, and Bedrock
Working knowledge of NLP, conversational AI, sentiment analysis, speech-to-text, and text-to-speech
Proficiency in SageMaker Studio, SageMaker Pipelines, and SageMaker Model Monitor
Working knowledge of AWS Connect AI-powered contact center capabilities
Proficiency in AWS Lambda, Amazon EventBridge, and AWS Step Functions
Understanding of supervised and unsupervised learning, model training and evaluation, feature engineering, deployment, and monitoring
Proficiency in Python or similar scripting/programming languages
Working knowledge of AWS security, IAM, data privacy, and FedRAMP compliance
Proficiency in Microsoft Office Suite, Microsoft Teams, and SharePoint
Ability to obtain and maintain a government security clearance as required
Strong written and oral communication skills in English

Benefits

Comp & perks

Health, dental and vision insurance
401K with company matching
Flexible spending accounts
Paid holidays
Three weeks paid time off
Competitive compensation