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Cloudera

AI Solutions Architect – FS, CI Polygraph Required

Cloudera

AI Solutions Engineer transforming data chaos into actionable AI applications for the Public Sector Consulting team. Working with government organizations on Cloudera Data Platform implementations.

Posted 6/11/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AngularDjangoETLJavaKafkaNoSQLPythonPyTorchReactScalaSparkSQLTensorflow

About the role

Key responsibilities & impact
  • Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost.
  • Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter.
  • Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks).
  • Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats.
  • Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts.
  • Build Data pipelines with Spark, Nifi, Kafka or other ETL tools.
  • Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).
  • Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift.
  • Collaborate with the customer’s AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance.
  • Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership.

Requirements

What you’ll need
  • 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning.
  • Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).
  • Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems.
  • Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack.
  • Experience developing visual data representations and dashboards (Django, React, or Angular).
  • Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc).
  • Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).
  • Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).
  • Active Top Secret Security Clearance.

Benefits

Comp & perks
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Pythondeep learning frameworksPyTorchTensorFlowHugging FaceETL/ELT pipelinesSQLNoSQLVector databasesGenerative AI
Soft Skills
collaborationcommunicationtechnical translationcustomer guidanceethicsbias mitigation
Certifications
Top Secret Security Clearance