Job Description
Note: The job is a remote job and is open to candidates in USA. Arcfield is an industry-leading solutions provider in digital engineering and model-based systems engineering. They are seeking a Software Engineer for their Strategic Technology Consulting team to develop cloud-based AI applications, collaborating closely with cross-functional teams to design, build, and deploy scalable solutions while ensuring seamless delivery of products.
Responsibilities
• Design, develop and integrate cloud-based applications leveraging Azure and AWS AI/ML services (e.g., OpenAI, Bedrock), and related APIs, with a focus on generative AI models and large language model integration
• Package, release, and deploy AI-enabled applications into secure, scalable environment (Gov Cloud, Air-gapped)
• Work closely with data scientists and ML engineers to provision scalable cloud hosting environments
• Connect AI services with front-end applications, back-end systems, and client APIs to deliver end-to-end solutions
• Identify challenges in AI service integration and propose creative, practical solutions
• Communicate technical progress, risks, and solutions clearly with stakeholders and team members
• Stay current with evolving Azure and AWS AI services, bringing forward best practices and new capabilities.
Skills
• Must be able to obtain and maintain a Secret Clearance
• Software Engineering (Java, Python)
• Graph-Based/Data Science Skills (PyGraph, Pydantic)
• Familiarity with cloud security frameworks and compliance requirements (e.g., NIST, DoD STIGs)
• Proficiency with infrastructure-as-code tools (Terraform, Ansible, CloudFormation) for controlled deployments.
• AI/MLOps - (Azure AI Studio; AWS Sagemaker, Kubeflow, etc)
• Familiarity with LLM APIs (OpenAI API, AWS Bedrock/boto)
• Experience with modern LLM integration methods and applicable tools (LlamaIndex/LangChain): Orchestration frameworks (RAG, Agents, MCP, etc), Retrieval (Vector Search, BM25, Hierarchical, etc)
• Experience with Software Development lifecycle practices and automations (Pipeline design, management, Git/GitOps, CI/CD, Version Control, Testing)
• Experience with Infrastructure as Code (AWS CloudFormation, Azure Arm Templates, Terraform)
• Experience implementing authentication/authorization and role-based access controls (RBAC)
• Cloud-native technologies and development (Python/FastAPI, SQL, Redis)
• Command-line (CLI) Proficiency (Bash, PowerShell, etc)
• Experience integrating software via RESTful APIs, Java APIs, WebSockets, Async Message Queues (Pub/Sub, etc)
• Software application design and development using UML or SysML
• Performance Optimization (server-side rendering, code splitting, CSS modules)
• Systems Engineering processes, methods, and tools as applied to systems lifecycles
• Digital Engineering methodologies and tooling
Education Requirements
• BS 8-10, MS 6-8, PhD 3-5
Benefits
• Health Insurance
• Life Insurance
• Paid Time Off
• Holiday Pay
• Short Term and Long-Term Disability
• Retirement and Savings
• Learning and Development opportunities
• Wellness programs
• Other optional benefit elections
Company Overview
• Arcfield provides innovative solutions in systems engineering and integration. It was founded in 2021, and is headquartered in Chantilly, Virginia, USA, with a workforce of 1001-5000 employees. Its website is http://www.arcfield.com.
Min Qualification
• Must be able to obtain and maintain a Secret Clearance
• Software Engineering (Java, Python)
• Graph-Based/Data Science Skills (PyGraph, Pydantic)
• Familiarity with cloud security frameworks and...
• Must be able to obtain and maintain a Secret Clearance
• Software Engineering (Java, Python)
• Graph-Based/Data Science Skills (PyGraph, Pydantic)
• Familiarity with cloud security frameworks and compliance requirements (e.g., NIST, DoD STIGs)
• Proficiency with infrastructure-as-code tools (Terraform, Ansible, CloudFormation) for controlled deployments
• AI/MLOps - (Azure AI Studio; AWS Sagemaker, Kubeflow, etc)
• Familiarity with LLM APIs (OpenAI API, AWS Bedrock/boto)
• Experience with modern LLM integration methods and applicable tools (LlamaIndex/LangChain): Orchestration frameworks (RAG, Agents, MCP, etc), Retrieval (Vector Search, BM25, Hierarchical, etc)
• Experience with Software Development lifecycle practices and automations (Pipeline design, management, Git/GitOps, CI/CD, Version Control, Testing)
• Experience with Infrastructure as Code (AWS CloudFormation, Azure Arm Templates, Terraform)
• Experience implementing authentication/authorization and role-based access controls (RBAC)
• Cloud-native technologies and development (Python/FastAPI, SQL, Redis)
• Command-line (CLI) Proficiency (Bash, PowerShell, etc)
• Experience integrating software via RESTful APIs, Java APIs, WebSockets, Async Message Queues (Pub/Sub, etc)
• Software application design and development using UML or SysML
• Performance Optimization (server-side rendering, code splitting, CSS modules)
• Systems Engineering processes, methods, and tools as applied to systems lifecycles
• Digital Engineering methodologies and tooling
• BS 8-10, MS 6-8, PhD 3-5
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Applying Instructions
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• Jobright
• USA Remote Job Ca MySmartPros – Remote Jobs - MySmartpros
• Employnivora
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• Swiftgaze
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