Posted today
Top Secret/SCI
Senior Level Career (10+ yrs experience)
$166,000 - $208,000
No Traveling
Full Scope Polygraph
IT - Software
Springfield, VA (On-Site/Office)
Senior AWS Cloud Engineer (Generative AI)
Location: Springfield, VA 22150 (NGA Campus)
Clearance: Active TS/SCI with Polygraph (REQUIRED)
Compensation: $80–$100/hr ($166K–$208K annually equivalent)
Work Type: Full-Time | Onsite (classified environment)
Position Overview
We are seeking a Senior AWS Cloud Engineer with Generative AI expertise to support a mission-critical Intelligence Community modernization initiative in Springfield, VA.
This role focuses on optimizing and modernizing enterprise-scale Generative AI workloads within a classified AWS environment (C2S). The selected engineer will embed with customer scrum teams and lead architecture design, performance optimization, and cloud-native system improvements.
This is a highly technical, hands-on role requiring deep AWS architecture knowledge and experience deploying and optimizing LLM-based solutions.
Required Qualifications
Active TS/SCI with Polygraph (must be current)
8+ years of software engineering or cloud architecture experience
3+ years hands-on AWS production experience
Experience supporting classified or IC cloud environments
Strong Python proficiency
Experience with Infrastructure-as-Code (CloudFormation, CDK, or Terraform)
Ability to work onsite in Springfield, VA
Required Technical Expertise – Generative AI
Enterprise-scale GenAI platform architecture and deployment
LLM implementation and optimization
Prompt engineering and token usage optimization
Vector databases and semantic search
API performance tuning (batching, caching, rate limiting)
Cost tracking and workload analytics for AI systems
Experience with LangChain or similar frameworks
AWS Services Experience
Amazon Bedrock
OpenSearch Service
CloudWatch
ECS and/or EKS
RDS and/or DynamoDB
Advanced IAM policy design
Responsibilities
Evaluate and modernize existing GenAI architectures
Design scalable, modular, cloud-native systems
Implement automated health monitoring and detection systems
Optimize text embedding pipelines and retrieval performance
Develop reference architectures and best practices
Collaborate within Agile/Scrum teams
Provide technical leadership and knowledge transfer
Preferred Qualifications
Experience with AWS C2S
Prior AWS Professional Services engagement experience
Experience supporting Orange or National Security customers
Strong customer-facing communication skills
Why Join This Effort?
High-visibility IC modernization initiative
Cutting-edge Generative AI optimization work
Long-term program stability
Opportunity to influence enterprise architecture at scale
If you are an experienced TS/SCI Poly AWS engineer looking to work on mission-critical AI systems, we encourage you to apply confidentially.
Location: Springfield, VA 22150 (NGA Campus)
Clearance: Active TS/SCI with Polygraph (REQUIRED)
Compensation: $80–$100/hr ($166K–$208K annually equivalent)
Work Type: Full-Time | Onsite (classified environment)
Position Overview
We are seeking a Senior AWS Cloud Engineer with Generative AI expertise to support a mission-critical Intelligence Community modernization initiative in Springfield, VA.
This role focuses on optimizing and modernizing enterprise-scale Generative AI workloads within a classified AWS environment (C2S). The selected engineer will embed with customer scrum teams and lead architecture design, performance optimization, and cloud-native system improvements.
This is a highly technical, hands-on role requiring deep AWS architecture knowledge and experience deploying and optimizing LLM-based solutions.
Required Qualifications
Active TS/SCI with Polygraph (must be current)
8+ years of software engineering or cloud architecture experience
3+ years hands-on AWS production experience
Experience supporting classified or IC cloud environments
Strong Python proficiency
Experience with Infrastructure-as-Code (CloudFormation, CDK, or Terraform)
Ability to work onsite in Springfield, VA
Required Technical Expertise – Generative AI
Enterprise-scale GenAI platform architecture and deployment
LLM implementation and optimization
Prompt engineering and token usage optimization
Vector databases and semantic search
API performance tuning (batching, caching, rate limiting)
Cost tracking and workload analytics for AI systems
Experience with LangChain or similar frameworks
AWS Services Experience
Amazon Bedrock
OpenSearch Service
CloudWatch
ECS and/or EKS
RDS and/or DynamoDB
Advanced IAM policy design
Responsibilities
Evaluate and modernize existing GenAI architectures
Design scalable, modular, cloud-native systems
Implement automated health monitoring and detection systems
Optimize text embedding pipelines and retrieval performance
Develop reference architectures and best practices
Collaborate within Agile/Scrum teams
Provide technical leadership and knowledge transfer
Preferred Qualifications
Experience with AWS C2S
Prior AWS Professional Services engagement experience
Experience supporting Orange or National Security customers
Strong customer-facing communication skills
Why Join This Effort?
High-visibility IC modernization initiative
Cutting-edge Generative AI optimization work
Long-term program stability
Opportunity to influence enterprise architecture at scale
If you are an experienced TS/SCI Poly AWS engineer looking to work on mission-critical AI systems, we encourage you to apply confidentially.
group id: 90970085
