Senior AI Systems Architect (HRTech)

Senior AI Systems Architect

Conditions

Posted Date May 21, 2026 Employment Type Part-time Experience Level Mid-Senior level Location Germany Annual Salary 138 - 187 USD Category ** Programming ** Company **dandelion civilization **

Senior AI Systems Architect

Company: Dandelion Civilization HQ Location: Dubai, UAE Job Type: Full-time, Remote Level: Senior

About Us Dandelion Civilization is a science-driven software development company transforming how organizations discover and develop talent. We use simulations and behavioral analytics to help companies make more accurate and data-driven talent decisions.

About the Role We are looking for a Principal AI Systems Architect who will take ownership of the technical foundation of several new company products - from architecture and infrastructure to release management and engineering quality standards.

This is a high-responsibility role. We're looking for someone who can make and defend architectural decisions across product systems, AI agent infrastructure, and AWS environments, and who also represents the technical side of the company in collaboration with product and operational functions.

The ideal candidate combines strong modern AI-assisted development practices with deep classical software architecture discipline. You will act as the lead architect and principal engineer for assigned products: independently driving projects end-to-end while integrating them into the broader company ecosystem and infrastructure.

Key Responsibilities

1) Product Architecture & Agent Systems

• Design product, agent-layer, and AWS infrastructure architecture
• Ensure scalability, performance, and fault tolerance of systems
• Make key decisions regarding technology stack selection
• Design APIs, integrations, and agent-to-agent protocols
• Document architectural decisions using ADRs

Looking to advance your Development & Programming career with relocation support? Explore Development & Programming Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role. 2) AI Agents, LLM Systems & AI Governance

• Develop and maintain AI agents: tool use, memory, multi-step reasoning, evaluation pipelines
• Integrate LLM capabilities into production workflows
• Design control agents (critics, guardrails, compliance monitors) for workflows
• Ensure data protection through access policies, encryption, and full agent audit trails

3) Engineering Processes & AI-Assisted Development

• Implement and maintain Spec-Driven Development (SDD) practices
• Decompose product requirements into atomic specifications
• Use AI coding tools (Cursor, Claude Code, GitHub Copilot, etc.) as core daily development instruments
• Review AI-generated code with focus on architecture, security, performance, and edge cases
• Drive engineering standards and best practices for AI-assisted software development

4) Reliability, Operations & Production Quality

• Manage CI/CD pipelines and release workflows
• Develop AI-assisted QA and testing strategies
• Participate in on-call rotations, root cause analysis, and production post-mortems
• Evolve the observability stack (logs, metrics, traces)
• Systematically manage technical debt: tracking, prioritization, and resolution

Whom We’re Looking For

1) Experience Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

• 5+ years of commercial full-stack software engineering experience
• Experience owning production systems end-to-end: architecture, deployment, on-call, post-mortems
• Experience working in fast-paced product teams with short delivery cycles
• Technical leadership experience: architectural ownership, mentoring engineers, influencing engineering standards
• Strong understanding of software architecture principles: service-oriented and event-driven systems, API design, data modeling
• Hands-on experience building and operating production systems on AWS
• Experience making long-term technology stack decisions with vendor independence and maintainability in mind
• Experience documenting architectural decisions (ADR or equivalent)
• Experience designing systems capable of scaling without major rewrites

2) Technical Skills

• Production-level Python and TypeScript
• Strong Node.js / JavaScript experience (backend services, scripting, build tooling)
• Production experience with React or Vue
• CI/CD, Git, automated testing, and observability tooling

3) AI-Assisted Development & Agent Systems

• Daily hands-on experience with Cursor, Claude Code, GitHub Copilot, or similar tools
• Strong prompt engineering skills: ability to decompose problems for LLMs and critically evaluate AI-generated outputs
• Experience using specification-based workflows for AI code generation (SDD or similar approaches)
• Production experience with LLM applications: advanced prompt engineering, RAG, function calling
• Experience with at least one agent framework: Anthropic SDK, OpenAI Agents, LangGraph, LangChain, or Vercel AI SDK
• Experience designing multi-agent architectures and agent-to-agent protocols
• Understanding of AI governance concepts: guardrails, control agents, autonomy boundaries, audit trails
• Understanding of common failure modes in agent systems (hallucinations, infinite loops, tool misuse, uncontrolled cost growth) and mitigation strategies
• Experience working with sensitive data and security requirements Interested in relocating to Germany? Check out our comprehensive Relocation Jobs in Germany page with detailed relocation packages and benefits.

Nice to have:

• MCP experience
• Vector databases (pgvector, Pinecone, Weaviate)
• Fine-tuning / LoRA experience

4) Personal Qualities

• Results-oriented mindset
• High level of autonomy and ownership
• Ability to work effectively in ambiguity and independently define priorities
• Strategic thinking: ability to see the full system from user experience to infrastructure
• Willingness to take responsibility for long-term technical decisions
• Strong systems thinking and scientific approach to engineering

What We Offer

• Competitive compensation based on interview results
• Fully remote work format with relocation opportunities
• Direct influence on the company’s product and technical strategy
• International Dubai-based team where AI-assisted engineering and agent systems are the engineering norm

Selection Process

• Simulation-based skill screening - evaluation of engineering patterns and learning ability
• Deep technical interview - discussion of architecture experience, production incidents in LLM/agent systems, and complex engineering decisions
• Practical session (20 minutes) - small task in Cursor / Claude Code focused on decomposition, AI-output review, and architectural thinking
• Final interview — meetings with company leadership and team

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