AWS Certified AI Practitioner

🕒 September 9

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Koniag Government Services

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1975

🏛️ Government

🎖️ Defense

💼 Consulting

Government • Defense • Consulting

Koniag Government Services is an Alaska Native Corporation (ANC) that provides technical, professional, and operational expertise to the U. S. public sector. KGS supports Defense & Intelligence, Federal Civilian, and Health customers with enterprise solutions, professional services, and operations management, and emphasizes mission-focused outcomes, contracting speed (ANC direct awards), and strategic/technology partnerships. The company positions itself as a mission partner delivering people, technology, and program management to government customers.

📋 Description

• Design, implement, optimize, and support AWS AI and ML solutions for IT Call Center operations • Identify and implement AWS AI/ML capabilities for intelligent automation, NLP, predictive analytics, sentiment analysis, and conversational AI • Develop and maintain solutions using Amazon Lex, Polly, Comprehend, Rekognition, Transcribe, SageMaker, Bedrock, and related AWS services • Design and optimize AI-powered contact center capabilities in AWS Connect, including IVR, chatbots, call analytics, and agent assistance • 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, AWS Step Functions, and related serverless services • Support SageMaker ML pipelines for model training, testing, deployment, and monitoring • Ensure solution designs align with AWS architecture standards, security requirements, and FedRAMP compliance • Monitor model performance, accuracy, and operational impact; implement 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 • Support staff training and knowledge-sharing sessions • Contribute to business development, proposal efforts, technical 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 AWS AI services including 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, and model deployment and monitoring • Proficiency in Python or similar scripting/programming languages • Working knowledge of AWS security and compliance principles, IAM, data privacy, and FedRAMP • 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