Arcfield ยท 2 months ago
Software Engineer - AI DevOps Specialist
United States
Full-time
Remote
Mid, Senior Level
$93K/yr - $224K/yr
6+ years expArcfield is a company specializing in advanced technology solutions, and they are seeking a Software Engineer - AI DevOps Specialist to contribute to an Agile AI/ML software development team. The role involves designing, developing, and deploying AI-enabled applications in multi-cloud environments while ensuring compliance with government standards.
ConsultingManagement Consulting
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
The Candidate Should Be Capable To Work Independently As a Contributor To An Agile AI/ML Software Development Team. He Or She Should Exhibit Expertise In
Expertise in Software Cloud and Database Deployment and Management - Package, release, and deploy AI-enabled applications into secure, scalable environment (Gov Cloud, Air-gapped)
Testing and Quality Assurance - Implement and maintain automated test frameworks and technologies (e.g., PyTest, Postman, Selenium, JUnit) to validate software functionality, performance, and reliability across environments
AI Application Design & Development - 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
Integration - Connect AI services with front-end applications, back-end systems, and client APIs to deliver end-to-end solutions
Security and Compliance Oversight - Ensure software, infrastructure and deployment practices comply with government and industry standards (e.g., NIST, FedRAMP, OWASP)
Stakeholder Engagement - Communicate technical progress, risks, and solutions clearly with stakeholders and team members
Continuous Improvement - Stay current with evolving Azure and AWS AI services, bringing forward best practices and new capabilities
Collaboration with Data/ML Teams - Work closely with data scientists and ML engineers to provision scalable cloud hosting environments
In this role, the candidate would be collaborating with a full stack software development team to ensure efficient, secure, and successful software deliveries of applications in multi-cloud environments
The candidate should exhibit experience with scalable cloud infrastructure, ML pipelines, deployment of microservices and APIs
Day to day responsibilities would include collaboration with the software and AI/ML engineering team, management of release schedules, software test and evaluation, and leading software compliance activities
The candidate will be working in a cross-functional team, and will contribute to the design, development and deployment of advanced applications in cloud and AI technology
Deployment environments include on-premises, commercial and government clouds
The candidate will work closely with technical and programmatic leadership to ensure deployments meet stakeholder needs and schedule constraints
Occasionally, customer facing demonstrations of software technology are required
Additional duties as assigned
Qualification
Required
BS 8-10, MS 6-8, PhD 3-5
Must be able to obtain/maintain Secret Clearance
Expertise in Software Cloud and Database Deployment and Management - Package, release, and deploy AI-enabled applications into secure, scalable environment (Gov Cloud, Air-gapped)
Testing and Quality Assurance - Implement and maintain automated test frameworks and technologies (e.g., PyTest, Postman, Selenium, JUnit) to validate software functionality, performance, and reliability across environments
AI Application Design & Development - 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
Integration - Connect AI services with front-end applications, back-end systems, and client APIs to deliver end-to-end solutions
Security and Compliance Oversight - Ensure software, infrastructure and deployment practices comply with government and industry standards (e.g., NIST, FedRAMP, OWASP)
Stakeholder Engagement - Communicate technical progress, risks, and solutions clearly with stakeholders and team members
Continuous Improvement - Stay current with evolving Azure and AWS AI services, bringing forward best practices and new capabilities
Collaboration with Data/ML Teams - Work closely with data scientists and ML engineers to provision scalable cloud hosting environments
Experience with scalable cloud infrastructure, ML pipelines, deployment of microservices and APIs
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 integrating software via RESTful APIs, Java APIs, WebSockets, Async Message Queues (Pub/Sub, etc)
Preferred
Software application design and development using UML or SysML
Experience with modern LLM integration methods and applicable tools (LlamaIndex/LangChain)
Systems Engineering processes, methods, and tools as applied to systems lifecycles
Digital Engineering methodologies and tooling
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
Arcfield
Arcfield provides innovative solutions in systems engineering and integration.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Kevin Kelly
Chairman and CEO
Ted Fidder
Chief Technology Officer
Recent News
2025-12-19
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