AI Developer at Platinum Technologies
Washington, DC
$145,000–$165,000
Jul 19, 2026
Washington, DC
Jul 21, 2026
What this job asks for AI summary
A hands-on AI/ML engineering role focused on designing, building, and deploying machine learning solutions across multiple cloud platforms and model providers for public sector clients. Day-to-day work spans data preprocessing, model development and fine-tuning, production integration, and thorough technical documentation. The role suits a developer with at least four years of AI/ML experience who is comfortable working across vendor-agnostic toolchains and meets federal Public Trust clearance eligibility requirements.
Mid level · 4+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 50 people in the Washington-Arlington-Alexandria, DC-VA-MD-WV area plausibly meet what this posting asks for (data scientists). range 30–80
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $135,107 (middle half $108,024–$176,763).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role is a hybrid of AI/ML engineering and data science; 15-2051 (Data Scientists) is the primary classification given the explicit data science rigor requirement, but 15-1252 (Software Developers) is a close runner-up given the emphasis on building and deploying production AI systems.
The clearance requirement is Public Trust eligibility (background investigation), not a formal US security clearance tier — mapped to None accordingly.
Degree requirement is listed as 'Bachelor's degree … or equivalent practical experience', so no hard degree gate is set.
The multi-cloud requirement gates on experience across at least two of AWS, Azure, or GCP; all three are listed as alternatives on a single skill to reflect that any two satisfy the requirement.
LangChain/LlamaIndex appears in the required qualifications as an example of working in a model-agnostic way; treated as a hard gate on that capability with LlamaIndex as an alternative.
TensorFlow is listed as the primary ML framework with PyTorch and scikit-learn as named alternatives in the same requirement clause.
Docker, Kubernetes, MLflow/Kubeflow, CI/CD for ML, RAG, and LLM fine-tuning/evaluation all appear under the Preferred Qualifications section.
The role is hybrid (2 days on-site in Washington, DC; 3 days remote) — not fully remote.
Read the full posting
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