AWS Certified AI Practitioner (Remote)

Koniag Services Inc. a Koniag Government Services company is seeking an innovative and technically skilled AWS Certified AI Practitioner to support the design implementation and optimization of artificial intelligence (AI) and machine learning (ML) solutions built on the Amazon Web Services (AWS) platform for our IT Call Center serving government clients. The ideal candidate is a forward-thinking and analytically minded professional with demonstrated experience leveraging AWS AI and ML services to develop intelligent automation predictive analytics and natural language processing solutions that enhance the efficiency performance and customer experience of IT Call Center operations. They bring strong technical acumen a passion for emerging AI technologies and the ability to work independently and collaboratively in a fully remote environment to deliver AI-powered solutions that drive measurable operational improvements. Ability to obtain a government security clearance may be required to support Koniag Services Inc. and our government customers. This position is offer competitive compensation and an extraordinary benefits package including health dental and vision insurance 401K with company matching flexible spending accounts paid holidays three weeks paid time off and Description:The AWS Certified AI Practitioner will be responsible for the design implementation optimization and ongoing support of AWS AI and ML solutions supporting IT Call Center operations. This individual will work closely with program leadership the AWS Solutions Architect the AWS Connect Administrator data analysts and government stakeholders to identify opportunities to leverage AI and ML capabilities to enhance call center automation operational intelligence and service delivery outcomes. Principal responsibilities will include but are not limited to:Identify evaluate and implement AWS AI and ML service solutions that enhance IT Call Center operations including intelligent automation natural language processing predictive analytics sentiment analysis and conversational AI develop and maintain AWS AI and ML solutions leveraging core AWS AI services including Amazon Lex Amazon Polly Amazon Comprehend Amazon Rekognition Amazon Transcribe Amazon SageMaker Amazon Bedrock and related AWS AI and ML platform with the AWS Connect Administrator to design implement and optimize AI-powered contact center capabilities within the AWS Connect platform including Amazon Lex-powered IVR and chatbot solutions Amazon Transcribe Call Analytics for real-time and post-call analysis and Amazon Connect Wisdom for AI-driven agent with data analysts and program leadership to develop and implement predictive analytics and machine learning models that leverage call center operational data to forecast call volumes predict SLA risks identify performance trends and support data-driven operational decision and implement natural language processing (NLP) and sentiment analysis solutions using Amazon Comprehend and related AWS AI services to analyze customer interactions identify satisfaction trends and surface actionable insights for call center quality assurance and continuous improvement and maintain AI-powered automation solutions that streamline call center workflows reduce manual processing requirements and enhance agent productivity leveraging AWS Lambda Amazon EventBridge AWS Step Functions and related AWS serverless and automation the development and implementation of Amazon SageMaker-based machine learning pipelines for training testing deploying and monitoring custom ML models that address specific IT Call Center operational challenges and performance improvement with the AWS Solutions Architect to ensure all AI and ML solution designs are architected in alignment with program-wide AWS cloud architecture standards security requirements and FedRAMP compliance regular assessments of deployed AI and ML solutions monitoring model performance accuracy and operational impact and implementing updates retraining and optimization activities to maintain solution effectiveness over and maintain comprehensive technical documentation for all AI and ML solutions including solution design documents architecture diagrams model documentation data flow diagrams and operational current on AWS AI and ML platform updates new service releases emerging AI technologies and industry best practices proactively identifying opportunities to leverage new AWS AI capabilities to enhance IT Call Center performance and customer technical guidance and subject matter expertise to program leadership operations staff and data analysts on AWS AI and ML service capabilities solution design approaches and responsible AI principles and all AWS AI and ML solution design and implementation activities comply with applicable federal security requirements AWS GovCloud policies FedRAMP authorization requirements data privacy regulations and responsible AI governance the development and delivery of training materials and knowledge sharing sessions for program staff on deployed AI and ML solutions ensuring all relevant team members understand solution capabilities limitations and appropriate use to business development activities as needed including supporting proposal efforts with AI and ML capability narratives technical solution concepts and relevant past performance and Experience:Required:Bachelors 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 experience developing and deploying solutions leveraging AWS AI services including Amazon Lex Amazon Comprehend Amazon Transcribe Amazon Polly and/or Amazon integrating AWS AI and ML services with cloud-based operational platforms and enterprise Certified AI Practitioner certification (required at time of hire).Preferred:Prior experience designing and implementing AWS AI and ML solutions within a federal government contracting or AWS GovCloud supporting AI and ML solution development for an IT call center service desk or IT managed services program including experience with AWS Connect AI-powered contact center Certified Machine Learning Specialty certification or demonstrated progress toward obtaining the working in a fully remote AI and ML development role within a government contracting Skills and Competencies:Strong communication skills in English both written and oral with the ability to present complex AI and ML solution designs technical findings and strategic recommendations clearly and effectively to both technical and non-technical audiences including program leadership and government stakeholders in a remote work hands-on proficiency in designing and implementing AWS AI and ML solutions leveraging a broad portfolio of AWS AI services including Amazon Lex Amazon Polly Amazon Comprehend Amazon Transcribe Amazon Rekognition Amazon SageMaker and Amazon working knowledge of natural language processing (NLP) conversational AI sentiment analysis speech-to-text and text-to-speech concepts and their practical application within AWS AI service in Amazon SageMaker for the development training deployment and monitoring of custom machine learning models including experience with SageMaker Studio SageMaker Pipelines and SageMaker Model knowledge of AWS Connect AI-powered contact center capabilities including Amazon Lex IVR and chatbot integration Amazon Transcribe Call Analytics Amazon Connect Wisdom and Amazon Connect Customer in serverless and automation services such as AWS Lambda Amazon EventBridge and AWS Step Functions for the development of AI-powered workflow automation understanding of machine learning concepts including supervised and unsupervised learning model training and evaluation feature engineering and model deployment and monitoring best in scripting or programming languages such as Python for ML model development AWS Lambda function development data processing and AI solution knowledge of AWS security and compliance principles as they apply to AI and ML solution design including data privacy IAM policy configuration and FedRAMP compliance in Microsoft Office Suite (Word Excel PowerPoint Outlook) and remote collaboration tools such as Microsoft Teams and SharePoint for documentation communication and coordination to obtain and maintain a government security clearance as Skills and Competencies:Active government security clearance (Secret or higher).AWS Certified Machine Learning Specialty Certified Solutions Architect Associate or Professional Certified AI Practitioner designing and implementing AWS AI and ML solutions within an AWS GovCloud environment in support of federal government FedRAMP authorization and data privacy with federal IT security frameworks and compliance requirements such as NIST SP 800-53 FedRAMP FISMA and emerging federal AI governance frameworks as they relate to AI and ML solution design and with Amazon Bedrock and large language model (LLM) integration for generative AI application development within a government IT service delivery with responsible AI principles AI ethics frameworks and bias detection and mitigation strategies as they apply to AI and ML solution development and deployment in a federal government with data engineering and ML pipeline development tools including AWS Glue Amazon Kinesis Amazon Redshift and related AWS data processing and storage in machine learning frameworks such as TensorFlow PyTorch or scikit-learn for custom model development and integration with AWS with MLOps principles and practices including model versioning continuous integration and delivery for ML pipelines and automated model retraining and with Amazon QuickSight or equivalent cloud-based business intelligence platforms for AI and ML solution performance reporting and operational Foundation certification or higher demonstrating knowledge of IT service management principles relevant to AI-powered IT call center contributing to business development efforts including proposal writing AI and ML capability development narratives and past performance of conversational AI design principles and best practices for developing effective and accessible IVR and chatbot experiences within a government IT call center Equal Employment Opportunity Policy:The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race color religion creed ethnicity sex sexual orientation gender or gender identity (except where gender is a bona fide occupational qualification) national origin or ancestry age disability citizenship military/veteran status marital status genetic information or any other characteristic protected by applicable federal state or local law. We are committed to equal employment opportunity in all decisions related to employment promotion wages benefits and all other privileges terms and conditions of company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or to apply to a position on our website please contact Heaven Wood via e-mail at or by calling to request accommodations. Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical professional and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers employees and native communities. For more information please visit Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352