AI Engineer

Who we are!

Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self‑motivated, possess demonstrated learning agility, and are passionate about delivering high‑quality work products – we want to hear from you.

We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self‑motivated domain experts. Our teammates are dot‑connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.

Platinum Technologies is seeking an AI Engineer to join our company. The AI Engineer will architect and deliver AI and data solutions that solve real mission challenges for federal agencies, from intelligent document retrieval to secure multi‑cloud ML platforms. The ideal candidate will be an experienced AI practitioner – with 4+ years of hands‑on experience and is comfortable designing AI solutions that are cloud‑agnostic, portable across environments, and resilient to vendor lock‑in.

You will join our established AI and data solutions development team and contribute your expertise in data science, machine learning, cloud‑native architecture, and Generative AI technologies to help drive innovation across federal environments. Your focus will include Machine Learning, Natural Language Processing, Neural Networks, Large Language Models (LLMs), Knowledge Graphs, Retrieval‑Augmented Generation (RAG), Multi‑Modal AI, and modern AI‑enabled web applications.

This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in Washington D.C.
Required Clearance:
Active Public Trust or eligible to obtain one.

• Design and implement AI solutions that operate across multi‑cloud and hybrid environments, including Azure, Google Cloud Platform (GCP), and AWS.
• Evaluate and recommend hosting, infrastructure, and deployment architectures based on mission requirements, security posture, scalability, portability, and long‑term maintainability — not tied to a single cloud provider.
• Architect AI/ML platforms and applications using cloud‑native and containerized technologies that minimize vendor lock‑in and maximize interoperability.
• Build and modernize web applications using modern full‑stack frameworks and AI assisted development tooling to accelerate delivery and improve developer productivity.
• Develop sophisticated conversational AI and knowledge management solutions that enable users to securely interact with enterprise data using natural language.
• Design and implement Retrieval‑Augmented Generation (RAG) architectures using vector databases, semantic search, knowledge graphs, and document processing pipelines.
• Lead the design of secure cloud and on‑premises AI infrastructure solutions that meet Federal Government and internal compliance requirements.
• Define architectural design decisions affecting infrastructure selection, orchestration, model hosting, observability, scalability, and system behavior for AI enabled solutions.
• Analyze client requirements and emerging AI technology trends to recommend scalable, compliant, and future‑proof architectures.
• Participate in design thinking and solution engineering activities to solve complex mission and operational challenges.
• Lead whiteboarding and technical strategy sessions with clients, partners, and internal teams.
• Communicate findings and recommendations to both technical and non‑technical stakeholders, translating complex AI and infrastructure concepts into actionable guidance.
• Ensure infrastructure and application architectures support secure software delivery practices including CI/CD, Infrastructure as Code (IaC), automated testing, and model lifecycle management.

• B.S. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or equivalent experience.
• 4+…