AI Solutions Architect

This is a fully remote position, open to applicants in New York, +3 more states.

📋 Description

• Assess and choose the most suitable model architectures (LLMs, SLMs, or traditional ML) based on mission needs, weighing the tradeoffs among accuracy, latency, and cost.

• Advise clients on "Build vs. Buy vs. Fine-tune" choices, focusing on open-source models (Llama, Mistral, Falcon) that can operate securely within a sovereign data perimeter.

• Create and implement strong data pipelines within CDP to convert "messy" legacy data into formats ready for AI.

• Design and refine Vector Databases and Retrieval-Augmented Generation (RAG) architectures to base AI responses on verified agency information.

• Enhance model inference for production settings using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration).

• Implement LLMOps to oversee model performance, identify hallucination rates, and handle model versioning and drift.

• Work in partnership with the customer’s AI Center of Excellence (CoE) to set up automated guidelines for ethics, bias reduction, and FedRAMP/IL5 compliance.

• Simplify complex technical AI concepts into mission-value presentations for GS-level stakeholders and agency leadership.

⛳️ Requirements

• Over 5 years of experience in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years dedicated to Generative AI or Deep Learning.

• Proficient in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face).

• Practical experience with Cloudera (CDP), Spark, or comparable big data ecosystems.

• Skilled in orchestration tools such as LangChain, LlamaIndex, or Haystack.

• Experience in developing visual data representations and dashboards (Django, React, or Angular).

• Familiarity with a compiled programming language, preferably one that operates on the JVM (Java, Scala, etc.).

• Demonstrated ability to create ETL/ELT pipelines and engage with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector).

• Knowledge of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs).

• Active Top Secret Security Clearance.

🏝️ Benefits

• Generous PTO Policy

• Support for 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