Sonalysts, Inc is seeking a highly skilled Artificial Intelligence & Machine Learning Systems Architect with deep expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI, AI agents, and Model Context Protocol. The ideal candidate should have experience in designing, developing, and optimizing AI-powered applications and workflows with a strong foundation in cybersecurity best practices.

What's In it for You:

• Working on challenging and innovative projects in a professional and supportive setting.
• Opportunities to expand your experiences, working with other communities and professionals on a broad range of projects.
• Salary ranges between $140,000-$175,000, dependent on experience, qualifications and other relevant business criteria.
• Becoming an integral part of an innovative employee-owned company which includes:

• Flexible Time Program enabling an optimal work-life balance by permitting partners to arrange their work around personal appointments, parent-teacher conferences, children’s activities and the like, so long as the partner gets the job done on-time
• Paid Time Off
• 401(k) Plan with company match
• Employee Stock Ownership Plan (ESOP)
• Sales Bonus Program
• Special Performance and Retention Bonus Program
• Health and Preventive Dental Insurance
• Dependent Care Assistance Plan
• Employee Referral Bonus Program
• Professional Development through Tuition Reimbursement Program, Online Training Program and Targeted Skills Program
• Relocation Assistance

Key Responsibilities:

• Design and implement scalable LLM-based architectures for AI-powered applications.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for improved model accuracy.
• Work with Generative AI models to enhance automated decision-making systems.
• Integrate and deploy AI models using AI Agents, Model Context Protocol, and retrieval strategies.
• Develop automation workflows using N8N, Pydantic, or other AI workflow tools.
• Optimize and fine-tune AI/ML models for performance and efficiency.
• Utilize GPU acceleration and frameworks like TensorFlow, PyTorch for large-scale AI workloads.
• Implement secure coding practices and cybersecurity protocols in all AI/ML development workflows.
• Ensure secure data handling, model access control, and compliance with data privacy regulations.
• Collaborate with cross-functional teams to integrate AI solutions into production environments.
• Research and implement state-of-the-art advancements in LLMs, multimodal AI, and generative systems.
• Be part of a team chartered with spearheading the company’s Initial Operating Capability for offering AI-based solutions for our customers.

Required Qualifications & Experience:

• Must be a U.S. citizen, eligible for a U.S. Department of Defense (DoD) security clearance*
• Master’s or Ph.D. in Computer Science, AI, Machine Learning, Cybersecurity, or a related field.
• Proven expertise in working with LLMs, RAG, and Generative AI.
• Strong background in Python, AI frameworks (TensorFlow, PyTorch), and GPU architectures for model training/inference.
• Experience with AI Agent frameworks and Model Context Protocol for scalable AI solutions.
• Hands-on experience with N8N, Pydantic, or other AI workflow tools.
• Demonstrated experience implementing cybersecurity controls in AI environments (e.g., secure APIs, authentication/authorization, encryption).
• Familiarity with threat modeling, vulnerability assessment, and secure deployment of AI models.
• Deep understanding of retrieval systems, knowledge graphs, and multimodal AI applications.
• Strong problem-solving skills and ability to work in fast-paced, AI-driven environments.

Preferred Skills:

• Experience with vector databases, knowledge retrieval strategies, and fine-tuning AI models.
• Knowledge of cloud-based AI deployment (AWS, GCP, Azure) with secure infrastructure practices.
• Familiarity with open-source AI tools and frameworks for custom AI solution development.
• Knowledge of compliance standards such as DoD Risk Management Framework (RMF), NIST, and ISO/IEC 27000 series.
• Contributions to AI research, publications, or open-source projects are a plus.

*Obtaining a U.S. Government security clearance involves a comprehensive background check.  Candidates are eligible for a clearance if they have demonstrated sound financial management (including good credit) over time, are free of criminal records, have limited foreign contacts or ties, and other factors indicative of a position of trust to protect information sensitive to the U.S. Government. 

Sonalysts, Inc. is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, disability, or other basis protected by law.  

This job is not available to residents of New York City because of local law restrictions there.

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www.sonalysts.com