Software Engineer - Cloud/AI Application Engineer
Content + Source + Freshness • 18 Dec 2025 • 95% confidence
Offer value
High value due to expert-level requirements, key technologies, and substantial salary range for experienced candidates.
- Salary range: $93,262–$224,107/year
- High demand for AI and cloud skills
- Significant career growth opportunities in tech
Pros
- Strong salary range between $93,000 and $224,000/year based on experience and qualifications
- High demand for cloud and AI skills reflects market relevance
- Opportunities for significant career advancement in AI/ML domains
Cons
- Requires security clearance which may be a barrier for some candidates
- Intensive workload with potential for overtime and on-call demands
- Competitive hiring process due to technical expertise required
Who it's for
Mid-Senior to Senior • Remote with collaborative opportunities
Good fit
- Experienced software engineers specializing in AI and cloud
- Tech-savvy professionals with strong programming skills
- Individuals driven by innovative projects in AI/ML
Not recommended for
- Candidates without relevant technical experience
- Those seeking strictly non-collaborative roles
- Individuals preferring minimal technical challenges
Motivation fit
Key skills
About the job
Responsibilities
Roles and Responsibilities
The candidate should be capable to work independently as a contributor to an agile, full stack AI/ML software development team. He or she should exhibit expertise in:
- Strong software architecture and programming skills, with proficiency in Java and Python
- Cloud and Information Technology - including cloud-based architecture, database architecture, and data sharing protocols
- Cloud Infrastructure Engineering – design, deployment and management of secure, scalable cloud architectures across AWS and Azure environments
- Configuration of networking, storage and compute resources to support data-intensive workloads
- The design and implementation of end-to-end AI solution, data services, and APIs into production applications
- Infrastructure-as-Code (IaC) using Terraform
- Expertise with Artificial Intelligence, Machine Learning, and Deep Learning for Generative AI and Predictive AI
- Knowledge of Extract, Translate, and Load (ETL) techniques and procedures
- AI/Mlops - Model Containerization and deployment, pipeline automations
The candidate should also demonstrate a general understanding of or interest in gaining expertise in:
- Systems Engineering processes, methods, and tools as applied to systems lifecycles
- Digital Engineering methodologies and tooling
In this role, the candidate would be collaborating with a software development team on the development and deployment of full-stack artificial intelligence software applications. Day-to-day responsibilities would include the specification, architecting, and implementation of secure, scalable cloud-based software and infrastructure to support AI/ML use cases. The candidate will contribute to the automation, containerization, and orchestration of AI workloads using modern DevOps and MLOps practices. The candidate will be working in a cross-functional team designing, developing and deploying advanced applications leveraging cloud-native services, data pipelines, and distributed computing architectures across platforms such as Azure and AWS. The role emphasizes compliance with industry network and security standards including NIST. Occasionally, customer facing demonstrations of software technology are required.
Qualifications
Required
- BS 8-10, MS 6-8, PhD 3-5
- Must be able to obtain/maintain Secret Clearance
Technology and Tools
The ideal candidate should demonstration proficiency in the following technologies:
- Software Engineering (Java, Python)
- Cloud-native technologies and development (Python/FastAPI, SQL, Redis)
- Cloud security frameworks and compliance requirements (e.g., NIST, DoD STIGs)
- Proficiency with infrastructure-as-code tools (Terraform, Ansible, CloudFormation) for controlled deployments.
- Performance Optimization (server-side rendering, code splitting, CSS modules)
- 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 implementing authentication/authorization and role-based access controls (RBAC)
- Command-line (CLI) Proficiency (Bash, PowerShell, etc)
- Experience integrating software via RESTful APIs, Java APIs, WebSockets, Async Message Queues (Pub/Sub, etc)
Preferred Technologies
In addition, experience with the following is highly desirable:
- Software application design and development using UML or SysML
- Systems Engineering processes, methods, and tools as applied to systems lifecycles
- Digital Engineering methodologies and tooling
Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections. Min: $93,262.13 Max: $224,107.51
EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.
