Lead AI Architect

Who Is Nisos?

Nisos is the human risk management company specializing in unmasking threats before they escalate. We are a trusted advisor who operates as an extension of security, intelligence, legal, and human resource teams to protect their people and business. Our intelligence-led solutions help enterprises make critical decisions, manage human risk, and drive real world consequences for digital threats.

For more information, visit: https://www.nisos.com.

What Is The Opportunity?

We are seeking a visionary Lead AI Architect to spearhead the transformation of our managed intelligence services into autonomous AI-powered workflows. This is a critical leadership role where you'll serve as the primary bridge between our managed services teams and engineering, architecting the future of how Nisos delivers intelligence at scale. You'll design and implement agentic AI systems that augment our analysts' capabilities, automate complex investigative workflows, and enable our teams to focus on high-value strategic work.

What Are The Responsibilities? 

• Serve as the primary technical liaison between managed services teams and engineering, translating operational workflows into agentic AI architectures
• Lead discovery sessions with service delivery teams to identify automation opportunities and design AI-powered solutions
• Partner with service line leaders to understand client needs and translate them into scalable AI capabilities
• Define the roadmap for transitioning manual processes to autonomous agent workflows
• Establish governance frameworks for AI agent deployment in sensitive intelligence operations
• Design and architect multi-agent systems that can perform complex OSINT investigations autonomously
• Build agentic workflows using frameworks like LangChain, AutoGPT, CrewAI, n8n, or custom solutions
• Architect RAG systems that enable agents to access and reason over vast intelligence databases
• Design agent orchestration systems that coordinate multiple AI agents for complex investigative tasks
• Implement human-in-the-loop systems that maintain analyst oversight while maximizing automation
• Define standards for agent observability, debugging, and performance monitoring
• Research and evaluate emerging agentic AI technologies and their application to intelligence workflows
• Build proof-of-concepts that demonstrate the value of agentic automation to stakeholders
• Create reusable agent templates and tools that accelerate service transformation
• Establish best practices for prompt engineering and agent behavior design
• Drive adoption of AI agents across different service lines through training and evangelism
• Ability to balance innovation with practical delivery requirements

Required and Preferred Education and Experience

• Degree in Computer Science, AI/ML, or equivalent experience
• 8+ years combined in software architecture and intelligence analysis with 4+ years focused on AI/ML systems
• Proven experience building production agentic AI or intelligent automation systems
• Track record of successful digital transformation initiatives
• Experience in professional services, consulting, or client-facing roles preferred
• Background in security, intelligence, or investigative domains highly valued
• Publications or thought leadership in agentic AI space a plus
• Expert knowledge of LLM orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)
• Strong experience with multi-agent architectures and agent communication protocols
• Proficiency in advanced prompt engineering and chain-of-thought reasoning techniques
• Experience with function calling, tool use, and plugin architectures for LLMs
• Deep understanding of RAG architectures, vector databases, and semantic search
• Expert in Python and modern AI/ML frameworks
• Understanding of OSINT methodologies and intelligence analysis workflows
• Experience translating complex human workflows into automated systems
• Proven ability to collaborate with non-technical stakeholders and translate business needs into technical solutions
• Track record of mentoring teams on AI best practices

Where You’ll Work

• We are a remote-first organization with a physical location in Arlington, Virginia.  You must be authorized to work in the United States and travel up to 10% of your time each year to Belfast, Northern Ireland. 

What equipment will you use?

The position requires use of Macbooks and MacOS. We ensure you can work well from home by providing Macbook Pros, monitors, peripherals, and noise-canceling headphones.