AI Engineer - Remote

About The Role

We are seeking an experienced AI Engineer to join our dynamic team. The ideal candidate will be responsible for architecting and delivering advanced AI and data solutions that address real-world mission challenges faced by federal agencies. This role involves designing cloud-agnostic, portable, and resilient AI systems capable of operating across multi-cloud and hybrid environments, including Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS).

The AI Engineer will contribute expertise in data science, machine learning, cloud-native architecture, and Generative AI technologies to foster innovation within federal environments. Key focus areas include developing intelligent document retrieval systems, secure multi-cloud ML platforms, conversational AI, knowledge management solutions, and Retrieval-Augmented Generation (RAG) architectures.

The role is primarily remote or hybrid within the VA/MD/DC area, with occasional travel to Washington D.C. client sites. An active Public Trust clearance or the ability to obtain one is required.

Qualifications

• B.S. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or related field
• 4+ years of experience designing and deploying secure AI and cloud-native solutions in enterprise or federal environments
• Proficiency working across multiple cloud providers including Azure, AWS, and GCP
• Strong understanding of cloud portability, platform abstraction, Kubernetes/container orchestration, and vendor lock-in mitigation strategies
• Experience designing AI/ML solutions that are LLM-agnostic and capable of integrating with multiple models (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.)
• Hands-on experience with Google Vertex AI, AWS Bedrock, Azure AI Foundry, or similar AI platform services
• Experience deploying AI workloads on Kubernetes or OpenShift
• Knowledge of open-source LLM hosting, inference optimization, and AI orchestration frameworks
• Familiarity with modern web application development using full-stack frameworks and AI-assisted development tools
• Experience building conversational AI, intelligent search, and enterprise knowledge systems using RAG architecture
• Proficiency with Python and AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, etc.
• Experience with Infrastructure as Code (Terraform preferred), CI/CD pipelines, containerization, and DevSecOps practices
• Understanding of AI observability, model evaluation, prompt engineering, and governance
• Knowledge of federal compliance standards including FISMA, RMF, FedRAMP, NIST 800 series, Zero Trust Architecture, and cloud security controls
• Excellent communication skills, capable of engaging with both technical and non-technical stakeholders

Responsibilities

• Design and implement AI solutions that function seamlessly across multi-cloud and hybrid environments, ensuring security, scalability, and portability
• Evaluate and recommend hosting architectures, deployment strategies, and infrastructure solutions aligned with mission needs and security requirements
• Architect AI/ML platforms utilizing cloud-native and containerized technologies to reduce vendor lock-in and enhance interoperability
• Develop and modernize web applications with full-stack frameworks, integrating AI tools to accelerate development and improve productivity
• Create sophisticated conversational AI systems and knowledge management solutions that enable natural language interaction with enterprise data
• Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, and knowledge graphs
• Lead the development of secure AI infrastructure solutions compliant with federal standards and internal policies
• Define architectural decisions related to infrastructure selection, orchestration, model hosting, observability, and system scalability
• Analyze client requirements and emerging AI trends to recommend scalable, compliant, and future-proof solutions
• Participate in design thinking, solution engineering, and technical strategy sessions with clients, partners, and internal teams
• Translate complex AI and infrastructure concepts into clear, actionable guidance for diverse stakeholders
• Ensure infrastructure and application architectures support secure CI/CD pipelines, Infrastructure as Code, automated testing, and model lifecycle management

Benefits

• Competitive salary package commensurate with experience
• Health, dental, and vision insurance plans
• Flexible work arrangements including remote and hybrid options
• Professional development opportunities and continuous learning support
• Collaborative and innovative work environment
• Opportunities to work on cutting-edge AI solutions for federal agencies
• Paid time off and federal holidays

Equal Opportunity

Platinum Technologies is an Equal Opportunity/Affirmative Action employer. We are an Equal Employment Opportunity employer and do not discriminate based on race, national origin, religion, age, gender, sexual orientation, gender identity, disability, veteran status, or any other protected characteristic. All qualified applicants will receive consideration for employment without regard to these factors. We promote diversity and are dedicated to providing equitable opportunities for everyone.