

Artificial Intelligence SME
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence SME with active IRS MBI clearance, offering a contract longer than 6 months at a pay rate of $50,000 - $120,000 per year. Key skills include AWS Bedrock, LLMs, Python, and federal compliance experience.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
545.4545454545
-
ποΈ - Date discovered
June 3, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Yes
-
π - Location detailed
Remote
-
π§ - Skills detailed
#Migration #IAM (Identity and Access Management) #AWS (Amazon Web Services) #Strategy #S3 (Amazon Simple Storage Service) #TensorFlow #Documentation #Programming #Cloud #Jupyter #ML (Machine Learning) #Docker #Data Privacy #PyTorch #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #MLflow #SQL (Structured Query Language) #Agile #Deployment #Python #Compliance #Lambda (AWS Lambda) #Model Evaluation #SageMaker #Scala #Computer Science #Data Engineering #Kubernetes #Data Science #Security #VPC (Virtual Private Cloud) #AWS Lambda #EC2
Role description
Artificial Intelligence (AI) Subject Matter Expert - IRS MBI ClearedPosition Overview
We are seeking an experienced Artificial Intelligence Subject Matter Expert with active IRS MBI clearance to lead AI initiatives and implementations within federal tax systems. The ideal candidate will have hands-on experience with modern AI technologies, cloud platforms, and Large Language Models (LLMs) in enterprise environments.
Key ResponsibilitiesAI Strategy & Implementation
Design and implement AI solutions using AWS Bedrock and Large Language Models
Develop AI/ML strategies aligned with federal compliance and security requirements
Lead proof-of-concept development for AI applications in tax processing systems
Provide technical guidance on AI model selection, training, and deployment
Collaborate with cross-functional teams to integrate AI capabilities into existing systems
Technical Development
Develop AI applications using Python and AWS cloud technologies
Implement and fine-tune Large Language Models including Claude and Nova
Design scalable AI architectures on AWS cloud infrastructure
Create automated workflows for AI model training and deployment
Perform model evaluation, testing, and performance optimization
Federal Systems Integration
Work within IRS TCloud environment and federal system architectures
Ensure AI solutions comply with federal security standards and regulations
Integrate AI capabilities with existing tax processing and compliance systems
Support migration of AI workloads to secure cloud environments
Collaborate with federal stakeholders on AI governance and best practices
Documentation & Compliance
Create technical documentation for AI implementations and processes
Ensure all AI solutions meet federal compliance and security requirements
Develop training materials and knowledge transfer documentation
Support security reviews and compliance audits for AI systems
Required QualificationsSecurity Clearance
Active IRS MBI (Moderate Background Investigation) clearance - MANDATORY
Must be able to maintain clearance throughout employment
AI/ML Experience
2-3 years of hands-on AI experience with AWS Bedrock platform
2-3 years working with Large Language Models (LLMs) including Claude and Nova
Experience with AI model training, fine-tuning, and deployment
Knowledge of AI ethics, bias detection, and responsible AI practices
Technical Skills
2-3 years of Python programming for AI/ML development
2-3 years of AWS cloud technologies (SageMaker, Lambda, S3, EC2, etc.)
Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Knowledge of MLOps practices and CI/CD for AI systems
Familiarity with data engineering and ETL processes
Preferred Qualifications
Experience with IRS TCloud and federal cloud environments
Knowledge of other federal systems and tax processing applications
Experience with additional LLM providers (OpenAI, Anthropic, etc.)
Familiarity with federal compliance frameworks (FedRAMP, FISMA)
Experience with containerization (Docker, Kubernetes)
Knowledge of data privacy and security in AI applications
Education & Experience
Bachelor's degree in Computer Science, Data Science, AI/ML, or related technical field
5+ years of software development experience
Previous experience working in federal or government environments
Experience with agile development methodologies
Technical Environment
AI Platforms: AWS Bedrock, SageMaker
LLMs: Claude, Nova, and other enterprise models
Programming: Python, SQL
Cloud: AWS (Lambda, S3, EC2, VPC, IAM)
ML Tools: TensorFlow, PyTorch, Jupyter, MLflow
Federal Systems: IRS TCloud, federal compliance frameworks
Security Requirements
Must pass and maintain IRS background investigation
Ability to work in secure federal environments
Understanding of federal data handling and privacy requirements
Commitment to maintaining confidentiality of sensitive tax information
What We Offer
Competitive salary with federal contracting benefits
Opportunity to work on cutting-edge AI projects in government sector
Professional development in AI and federal systems
Comprehensive benefits package including security clearance premium
Flexible work arrangements within federal guidelines
Career advancement opportunities in AI and government technology
Job Types: Full-time, Contract
Pay: $50,000.00 - $120,000.00 per year
Schedule:
8 hour shift
Experience:
AWS Bedrock: 3 years (Required)
LLM(Claude, Nova, etc.): 3 years (Required)
License/Certification:
IRS MBI/Public Trust Clearance (Required)
Work Location: Remote
Artificial Intelligence (AI) Subject Matter Expert - IRS MBI ClearedPosition Overview
We are seeking an experienced Artificial Intelligence Subject Matter Expert with active IRS MBI clearance to lead AI initiatives and implementations within federal tax systems. The ideal candidate will have hands-on experience with modern AI technologies, cloud platforms, and Large Language Models (LLMs) in enterprise environments.
Key ResponsibilitiesAI Strategy & Implementation
Design and implement AI solutions using AWS Bedrock and Large Language Models
Develop AI/ML strategies aligned with federal compliance and security requirements
Lead proof-of-concept development for AI applications in tax processing systems
Provide technical guidance on AI model selection, training, and deployment
Collaborate with cross-functional teams to integrate AI capabilities into existing systems
Technical Development
Develop AI applications using Python and AWS cloud technologies
Implement and fine-tune Large Language Models including Claude and Nova
Design scalable AI architectures on AWS cloud infrastructure
Create automated workflows for AI model training and deployment
Perform model evaluation, testing, and performance optimization
Federal Systems Integration
Work within IRS TCloud environment and federal system architectures
Ensure AI solutions comply with federal security standards and regulations
Integrate AI capabilities with existing tax processing and compliance systems
Support migration of AI workloads to secure cloud environments
Collaborate with federal stakeholders on AI governance and best practices
Documentation & Compliance
Create technical documentation for AI implementations and processes
Ensure all AI solutions meet federal compliance and security requirements
Develop training materials and knowledge transfer documentation
Support security reviews and compliance audits for AI systems
Required QualificationsSecurity Clearance
Active IRS MBI (Moderate Background Investigation) clearance - MANDATORY
Must be able to maintain clearance throughout employment
AI/ML Experience
2-3 years of hands-on AI experience with AWS Bedrock platform
2-3 years working with Large Language Models (LLMs) including Claude and Nova
Experience with AI model training, fine-tuning, and deployment
Knowledge of AI ethics, bias detection, and responsible AI practices
Technical Skills
2-3 years of Python programming for AI/ML development
2-3 years of AWS cloud technologies (SageMaker, Lambda, S3, EC2, etc.)
Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Knowledge of MLOps practices and CI/CD for AI systems
Familiarity with data engineering and ETL processes
Preferred Qualifications
Experience with IRS TCloud and federal cloud environments
Knowledge of other federal systems and tax processing applications
Experience with additional LLM providers (OpenAI, Anthropic, etc.)
Familiarity with federal compliance frameworks (FedRAMP, FISMA)
Experience with containerization (Docker, Kubernetes)
Knowledge of data privacy and security in AI applications
Education & Experience
Bachelor's degree in Computer Science, Data Science, AI/ML, or related technical field
5+ years of software development experience
Previous experience working in federal or government environments
Experience with agile development methodologies
Technical Environment
AI Platforms: AWS Bedrock, SageMaker
LLMs: Claude, Nova, and other enterprise models
Programming: Python, SQL
Cloud: AWS (Lambda, S3, EC2, VPC, IAM)
ML Tools: TensorFlow, PyTorch, Jupyter, MLflow
Federal Systems: IRS TCloud, federal compliance frameworks
Security Requirements
Must pass and maintain IRS background investigation
Ability to work in secure federal environments
Understanding of federal data handling and privacy requirements
Commitment to maintaining confidentiality of sensitive tax information
What We Offer
Competitive salary with federal contracting benefits
Opportunity to work on cutting-edge AI projects in government sector
Professional development in AI and federal systems
Comprehensive benefits package including security clearance premium
Flexible work arrangements within federal guidelines
Career advancement opportunities in AI and government technology
Job Types: Full-time, Contract
Pay: $50,000.00 - $120,000.00 per year
Schedule:
8 hour shift
Experience:
AWS Bedrock: 3 years (Required)
LLM(Claude, Nova, etc.): 3 years (Required)
License/Certification:
IRS MBI/Public Trust Clearance (Required)
Work Location: Remote