AI Solutions Architect

🔥 12 hours ago

🗽 New York, Maryland, +2 more states – Remote

🗽 New York – Remote 🦀 Maryland – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Cloudera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• 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. • 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. • 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

• 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

• 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