AWS Certified AI Practitioner
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Job Description
AWS AI practitioner designing AI/ML solutions on AWS for government IT call centers. Automating workflows, analyzing interactions, and improving service delivery.
Responsibilities:
- Identify, evaluate, and implement AWS AI and ML services for intelligent automation, NLP, predictive analytics, sentiment analysis, and conversational AI
- Design, develop, maintain, optimize, and support AWS AI and ML solutions for IT Call Center operations
- Collaborate on AI-powered AWS Connect capabilities, including Lex IVR/chatbots, Transcribe Call Analytics, and Connect Wisdom
- Develop predictive analytics and machine learning models to forecast call volumes, predict SLA risks, identify performance trends, and support operational decisions
- Implement NLP and sentiment analysis solutions to analyze customer interactions and support quality assurance
- Develop AI-powered workflow automation using AWS Lambda, Amazon EventBridge, and AWS Step Functions
- Support SageMaker machine learning pipelines for model training, testing, deployment, and monitoring
- Align solution designs with AWS architecture standards, security requirements, and FedRAMP obligations
- Monitor model performance, accuracy, and operational impact; perform updates, retraining, and optimization
- Create technical documentation, architecture diagrams, model documentation, data flow diagrams, and operational runbooks
- Provide technical guidance on AWS AI/ML capabilities, solution design, and responsible AI practices
- Ensure compliance with federal security, AWS GovCloud, FedRAMP, privacy, and responsible AI requirements
- Develop training materials and knowledge-sharing sessions for program staff
- Support business development and proposal efforts with AI/ML narratives, solution concepts, and past performance documentation
Requirements:
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Mathematics, or a related field from an accredited college or university; 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 in a structured IT service delivery or data-driven operational environment
- Demonstrated experience developing and deploying solutions leveraging 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
- Strong communication skills in English, written and oral
- Hands-on proficiency with Amazon Lex, Amazon Polly, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition, Amazon SageMaker, and Amazon Bedrock
- Working knowledge of NLP, conversational AI, sentiment analysis, speech-to-text, and text-to-speech
- Proficiency in Amazon SageMaker, including SageMaker Studio, SageMaker Pipelines, and SageMaker Model Monitor
- Working knowledge of AWS Connect AI-powered contact center capabilities, including Amazon Lex IVR/chatbot integration, Amazon Transcribe Call Analytics, Amazon Connect Wisdom, and Amazon Connect Customer Profiles
- Proficiency in AWS Lambda, Amazon EventBridge, and AWS Step Functions
- Strong 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
Benefits:
- Medical, dental, and vision insurance
- 401(k) retirement plan
- Paid time off
- Paid parental leave
- Life and disability insurance
- Flexible spending accounts
- Commuter benefits
- Tuition reimbursement
- Fully remote work environment
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