AI Solutions Architect
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Job Description
AI Solutions Engineer designing and implementing AI applications for federal agencies. Leading data transformation and model optimization in secure environments.
Responsibilities:
- 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)
- 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)
- 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
- 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
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