AI/Machine Language - MUST Be US Citizen With Active Secret Clearance

Summary

These 5 Roles have Multiple Openings Each.

You MUST Be US Citizen With Active Secret Clearance and available to work On-Site Monday Till Friday Every Week, Without Exception!

1. AI WORKBENCH ADMINISTRATOR
Support deployment and operation of generative and agentic AI capabilities using private large language models
Integrate AI Workbench capabilities into engineering, testing, and automation workflows, including CI/CD pipelines
Develop and execute automated scripts and test automation to validate AI-enabled capabilities
Monitor platform performance, availability, and security, ensuring compliance with secure and responsible AI frameworks aligned to federal requirements
Collaborate with engineering, testing, and data teams to onboard and support AI use cases
Capture metrics and ensure quality and governance standards are met,
Perform other duties as assigned
REQUIRED QUALIFICATIONS:
Minimum 3 years experience Platform administration, Test automation frameworks, scripting, and CI/CD integration, AI/ML platforms, large language models, or AI-enabled tooling, administering AI/ML, generative AI platforms in secured environments, AI frameworks and federal compliance requirements, Oracle technologies and PeopleSoft enterprise data sources, with Agile/SAFe methodologies, on/in a US Federal Government DoD systems.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CERTIFICATION(s): CompTIA Security+.
REQUIRED CLEARANCE: Active Secret or DoE Q/L or TS/SCI or DHS EoD/Suitability/Public Trust.

2. AI INETGRATION ENGINEER
Design, develop, test, and maintain MCP servers and supporting integration components in Python.
Develop reusable MCP tools, resources, prompts, schemas, and interfaces exposing approved enterprise functions (search, retrieval, case/workflow info, knowledge content).
Build Python connectors that translate MCP requests into secure calls to enterprise APIs, databases, and web services; implement read-only and controlled transactional patterns.
Work with PeopleSoft technical teams to expose approved HCM/CRM functionality via Integration Broker, Component Interfaces, REST/SOAP services, queries, or database interfaces.
Implement authentication/authorization (service identities, tokens, certificates), least-privilege access, input/output validation, and reliability patterns.
Prevent inappropriate direct access via controlled service boundaries; build mocks/test harnesses; troubleshoot across MCP, APIs, auth, and databases; other duties as assigned.
REQUIRED QUALIFICATIONS:
Minimum 3 years hands-on experience Python (services, APIs, connectors) software development, systems integration, API/middleware, backend development, MCP server/tool development or comparable AI tool-integration, REST/JSON/HTTP, auth, secure DB integration (SQL), and integration reliability patterns, Oracle DB / PL/SQL; PeopleSoft HCM/CRM integration (Integration Broker, Component Interfaces, REST/SOAP), OpenAPI/Swagger; boto3/cloud SDKs; OAuth/OIDC; AI integration-risk awareness; Docker/Kubernetes/OCI Functions/API Gateway; SAFe/ADO, on/in a US Federal Government DoD systems.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CLEARANCE: Active Secret.

3. AI (PYTHON) DEVELOPER
Design, develop, test, and maintain AI agents and generative AI applications in Python.
Develop agent workflows using LLMs to interpret requests, reason across steps, select tools, retrieve information, and generate grounded responses.
Design and refine system prompts, task/tool-use instructions, few-shot examples, and structured output formats; apply prompt-engineering to improve accuracy, grounding, and tool selection.
Develop orchestration logic (state/context management, multi-step execution, retries, exception handling); build/optimize RAG (query formulation, retrieval, grounding, semantic search).
Develop Python components using boto3/botocore and other SDKs; integrate agents with approved tools, APIs, MCP services, databases, and enterprise applications.
Implement structured outputs, schema/response validation, and guardrails; create automated unit/integration/regression and AI-evaluation tests; other duties as assigned.
REQUIRED QUALIFICATIONS:
Minimum 3 years Python Software development production experience building AI agents/agentic workflows/LLM applications and prompt engineering, LLM APIs/SDKs, MCP-based tool workflows, boto3/botocore, RAG/semantic search, REST APIs/JSON, and AI evaluation/testing, Amazon Bedrock/foundation-model APIs; LangGraph/LangChain/Strands or comparable frameworks; vector DBs / Oracle AI Vector Search, AI security awareness; SQL/Oracle; integration with PeopleSoft HCM/CRM; Docker/OCI; SAFe/ADO, in/on DoD/DoW enterprise system.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CERTIFICATION(s): CompTIA Security+.
REQUIRED CLEARANCE: Active Secret.

4. AI SUBJECT MATTER EXPERT
Lead the design, development, and deployment of AI/ML solutions in large-scale enterprise environments
Architect and implement Generative AI technologies, including OCI Gen AI APIs, LLMs, RAG-based architectures, and Model Context Protocol integration
Embed AI into DevSecOps pipelines and CI/CD workflows for automation, code generation, and analytics
Build and deploy AI-driven training agents, chatbots, and intelligent automation for HR/payroll and operational processes
Leverage low-code/no-code platforms (e.g., Oracle APEX) for rapid prototyping and deployment of AI solutions
Enable intelligent automation across workflows, ticket triage, and analytics
Collaborate with cross-functional teams to assess technical feasibility and ensure alignment with DOD mission objectives
Ensure all AI solutions comply with DoD and Federal data, security, and audit standards
Mentor and coach technical teams on AI best practices, ethical AI, and responsible AI governance
Optimize software and database performance using AI-driven analytics and SQL tuning
Collaborate with HCM/Payroll teams to ensure financial, planning, and interface designs correctly reflect payroll accounting, labor distributions, garnishments, and statutory reporting in a federal/DoD context
REQUIRED QUALIFICATIONS:
Minimum 7 years recent hands on experience with the above listed skills including AI, solutioning and deploying AI/ML solutions in enterprise environments, DevSecOps pipelines and CI/CD workflows, DOD HR/pay processes and enterprise-scale application design, OCI Gen AI APIs, LLMs, RAG architecture, and Model Context Protocol integration, low-code/no-code platforms software optimization, SQL tuning, and intelligent analytics tools, embedding AI on/in a US Federal Government DoD systems.
REQUIRED EDUCATION: BS/BA STEM Degree (preference of Data Science or/and AI and/or Data Science).
REQUIRED CERTIFICATION(s): AI/ML, cloud platforms (OCI, Azure), and security.
REQUIRED CLEARANCE: Active Secret.

5. AI PLATFORM ENGINEER (Oracle Cloud Infrastructure)
Design, deploy, configure, secure, and maintain AI application environments within Oracle Cloud Infrastructure (OCI)
Adapt existing containerized applications and supporting services for deployment within secured and hardened OCI environments
Design and implement secure OCI networking including Virtual Cloud Networks (VCNs), private subnets, routing, Network Security Groups (NSGs), private endpoints, DNS, and connectivity to enterprise services and data sources
Implement and maintain identity, authentication, and authorization capabilities using OCI IAM and approved enterprise identity-management technologies
Work with application developers to modify authentication, authorization, session management, service identities, and application configuration as required to meet Federal and DoD security requirements
Design secure service-to-service communication between web applications, AI services, large language models, APIs, databases, integration services, and other enterprise resources
Deploy and support containerized applications using Docker, Kubernetes/Oracle Kubernetes Engine (OKE), OCI Container Registry (OCIR), or comparable container technologies
Configure and secure AI application access to approved LLM services, APIs, enterprise applications, databases, and other supporting services
Implement secure patterns for AI tool and data integrations, including controlled access to enterprise services and Model Context Protocol (MCP)-based connections where applicable
Apply least-privilege access, network segmentation, encryption, secrets management, certificate management, and other security controls across AI application environments
Configure and manage OCI Vault, keys, certificates, secrets, service credentials, and other sensitive application configuration
Develop and maintain Infrastructure as Code (IaC) using Terraform or comparable technologies to create repeatable, controlled, and auditable cloud environments
Integrate platform deployment with source control, CI/CD pipelines, automated builds, security scanning, artifact management, configuration management, and release processes
Configure application and infrastructure logging, monitoring, audit trails, metrics, alerts, and operational dashboards
Partner with cybersecurity teams to implement security controls, hardening requirements, vulnerability remediation, access restrictions, audit requirements, and other compliance measures
Troubleshoot issues across application configuration, OCI networking, IAM, containers, certificates, APIs, service connectivity, authentication, authorization, and cloud infrastructure
Participate in application and architecture reviews to identify security, deployment, networking, authentication, and integration changes needed for suc

Job Description

These 5 Roles have Multiple Openings Each.

You MUST Be US Citizen With Active Secret Clearance and available to work On-Site Monday Till Friday Every Week, Without Exception!

1. AI WORKBENCH ADMINISTRATOR
Support deployment and operation of generative and agentic AI capabilities using private large language models
Integrate AI Workbench capabilities into engineering, testing, and automation workflows, including CI/CD pipelines
Develop and execute automated scripts and test automation to validate AI-enabled capabilities
Monitor platform performance, availability, and security, ensuring compliance with secure and responsible AI frameworks aligned to federal requirements
Collaborate with engineering, testing, and data teams to onboard and support AI use cases
Capture metrics and ensure quality and governance standards are met,
Perform other duties as assigned
REQUIRED QUALIFICATIONS:
Minimum 3 years experience Platform administration, Test automation frameworks, scripting, and CI/CD integration, AI/ML platforms, large language models, or AI-enabled tooling, administering AI/ML, generative AI platforms in secured environments, AI frameworks and federal compliance requirements, Oracle technologies and PeopleSoft enterprise data sources, with Agile/SAFe methodologies, on/in a US Federal Government DoD systems.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CERTIFICATION(s): CompTIA Security+.
REQUIRED CLEARANCE: Active Secret or DoE Q/L or TS/SCI or DHS EoD/Suitability/Public Trust.

2. AI INETGRATION ENGINEER
Design, develop, test, and maintain MCP servers and supporting integration components in Python.
Develop reusable MCP tools, resources, prompts, schemas, and interfaces exposing approved enterprise functions (search, retrieval, case/workflow info, knowledge content).
Build Python connectors that translate MCP requests into secure calls to enterprise APIs, databases, and web services; implement read-only and controlled transactional patterns.
Work with PeopleSoft technical teams to expose approved HCM/CRM functionality via Integration Broker, Component Interfaces, REST/SOAP services, queries, or database interfaces.
Implement authentication/authorization (service identities, tokens, certificates), least-privilege access, input/output validation, and reliability patterns.
Prevent inappropriate direct access via controlled service boundaries; build mocks/test harnesses; troubleshoot across MCP, APIs, auth, and databases; other duties as assigned.
REQUIRED QUALIFICATIONS:
Minimum 3 years hands-on experience Python (services, APIs, connectors) software development, systems integration, API/middleware, backend development, MCP server/tool development or comparable AI tool-integration, REST/JSON/HTTP, auth, secure DB integration (SQL), and integration reliability patterns, Oracle DB / PL/SQL; PeopleSoft HCM/CRM integration (Integration Broker, Component Interfaces, REST/SOAP), OpenAPI/Swagger; boto3/cloud SDKs; OAuth/OIDC; AI integration-risk awareness; Docker/Kubernetes/OCI Functions/API Gateway; SAFe/ADO, on/in a US Federal Government DoD systems.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CLEARANCE: Active Secret.

3. AI (PYTHON) DEVELOPER
Design, develop, test, and maintain AI agents and generative AI applications in Python.
Develop agent workflows using LLMs to interpret requests, reason across steps, select tools, retrieve information, and generate grounded responses.
Design and refine system prompts, task/tool-use instructions, few-shot examples, and structured output formats; apply prompt-engineering to improve accuracy, grounding, and tool selection.
Develop orchestration logic (state/context management, multi-step execution, retries, exception handling); build/optimize RAG (query formulation, retrieval, grounding, semantic search).
Develop Python components using boto3/botocore and other SDKs; integrate agents with approved tools, APIs, MCP services, databases, and enterprise applications.
Implement structured outputs, schema/response validation, and guardrails; create automated unit/integration/regression and AI-evaluation tests; other duties as assigned.
REQUIRED QUALIFICATIONS:
Minimum 3 years Python Software development production experience building AI agents/agentic workflows/LLM applications and prompt engineering, LLM APIs/SDKs, MCP-based tool workflows, boto3/botocore, RAG/semantic search, REST APIs/JSON, and AI evaluation/testing, Amazon Bedrock/foundation-model APIs; LangGraph/LangChain/Strands or comparable frameworks; vector DBs / Oracle AI Vector Search, AI security awareness; SQL/Oracle; integration with PeopleSoft HCM/CRM; Docker/OCI; SAFe/ADO, in/on DoD/DoW enterprise system.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CERTIFICATION(s): CompTIA Security+.
REQUIRED CLEARANCE: Active Secret.

4. AI SUBJECT MATTER EXPERT
Lead the design, development, and deployment of AI/ML solutions in large-scale enterprise environments
Architect and implement Generative AI technologies, including OCI Gen AI APIs, LLMs, RAG-based architectures, and Model Context Protocol integration
Embed AI into DevSecOps pipelines and CI/CD workflows for automation, code generation, and analytics
Build and deploy AI-driven training agents, chatbots, and intelligent automation for HR/payroll and operational processes
Leverage low-code/no-code platforms (e.g., Oracle APEX) for rapid prototyping and deployment of AI solutions
Enable intelligent automation across workflows, ticket triage, and analytics
Collaborate with cross-functional teams to assess technical feasibility and ensure alignment with DOD mission objectives
Ensure all AI solutions comply with DoD and Federal data, security, and audit standards
Mentor and coach technical teams on AI best practices, ethical AI, and responsible AI governance
Optimize software and database performance using AI-driven analytics and SQL tuning
Collaborate with HCM/Payroll teams to ensure financial, planning, and interface designs correctly reflect payroll accounting, labor distributions, garnishments, and statutory reporting in a federal/DoD context
REQUIRED QUALIFICATIONS:
Minimum 7 years recent hands on experience with the above listed skills including AI, solutioning and deploying AI/ML solutions in enterprise environments, DevSecOps pipelines and CI/CD workflows, DOD HR/pay processes and enterprise-scale application design, OCI Gen AI APIs, LLMs, RAG architecture, and Model Context Protocol integration, low-code/no-code platforms software optimization, SQL tuning, and intelligent analytics tools, embedding AI on/in a US Federal Government DoD systems.
REQUIRED EDUCATION: BS/BA STEM Degree (preference of Data Science or/and AI and/or Data Science).
REQUIRED CERTIFICATION(s): AI/ML, cloud platforms (OCI, Azure), and security.
REQUIRED CLEARANCE: Active Secret.

5. AI PLATFORM ENGINEER (Oracle Cloud Infrastructure)
Design, deploy, configure, secure, and maintain AI application environments within Oracle Cloud Infrastructure (OCI)
Adapt existing containerized applications and supporting services for deployment within secured and hardened OCI environments
Design and implement secure OCI networking including Virtual Cloud Networks (VCNs), private subnets, routing, Network Security Groups (NSGs), private endpoints, DNS, and connectivity to enterprise services and data sources
Implement and maintain identity, authentication, and authorization capabilities using OCI IAM and approved enterprise identity-management technologies
Work with application developers to modify authentication, authorization, session management, service identities, and application configuration as required to meet Federal and DoD security requirements
Design secure service-to-service communication between web applications, AI services, large language models, APIs, databases, integration services, and other enterprise resources
Deploy and support containerized applications using Docker, Kubernetes/Oracle Kubernetes Engine (OKE), OCI Container Registry (OCIR), or comparable container technologies
Configure and secure AI application access to approved LLM services, APIs, enterprise applications, databases, and other supporting services
Implement secure patterns for AI tool and data integrations, including controlled access to enterprise services and Model Context Protocol (MCP)-based connections where applicable
Apply least-privilege access, network segmentation, encryption, secrets management, certificate management, and other security controls across AI application environments
Configure and manage OCI Vault, keys, certificates, secrets, service credentials, and other sensitive application configuration
Develop and maintain Infrastructure as Code (IaC) using Terraform or comparable technologies to create repeatable, controlled, and auditable cloud environments
Integrate platform deployment with source control, CI/CD pipelines, automated builds, security scanning, artifact management, configuration management, and release processes
Configure application and infrastructure logging, monitoring, audit trails, metrics, alerts, and operational dashboards
Partner with cybersecurity teams to implement security controls, hardening requirements, vulnerability remediation, access restrictions, audit requirements, and other compliance measures
Troubleshoot issues across application configuration, OCI networking, IAM, containers, certificates, APIs, service connectivity, authentication, authorization, and cloud infrastructure
Participate in application and architecture reviews to identify security, deployment, networking, authentication, and integration changes needed for suc