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  3. GenAI Architect
Zartis logo

GenAI Architect

Zartis
Remote
Full Time
Posted September 18, 2025
Not Specified
Remote
Apply Now

Application opens on company website

Job Description

The GenAI Architect is responsible for evaluating, designing, and implementing AI solutions using large language models and agentic AI, collaborating with cross-functional teams to align AI initiatives with business goals, and ensuring scalable, cost-effective deployment of innovative AI technologies.

Key Responsibilities

  • Evaluate existing systems and processes to identify opportunities for GenAI improvements or solutions.
  • Design, implement, and integrate LLM-based GenAI applications into products or services.
  • Collaborate with stakeholders to align AI initiatives with business goals and analyze their impact using metrics and KPIs.

Requirements

  • Demonstrated ability to take a GenAI application from ideation through design, prototyping, production deployment, monitoring, and iteration.
  • Combined expertise in LLM engineering, RAG design, and agentic orchestration with production-grade software engineering and DevOps skills.
  • Hands-on experience developing multimodal and Agentic RAG pipelines that involve parsing and retrieving from diverse data types such as text, images, charts, and documents.
  • Knowledge of integrating vector databases, metadata filters, and graph-based memory structures to support complex reasoning.
  • Ability to design and deploy agentic systems using industry-standard frameworks while effectively abstracting tools, including tool schemas and action layers.
  • Understanding when to apply orchestration strategies such as ReAct versus planner-executor depending on use case requirements.
  • Familiarity with wiring up tools like LangSmith, latency factuality metrics, and automated A/B testing in real-world pipelines.
  • Experience in scalable and cost-conscious engineering, including balancing performance, scalability, and cost in LLMOps, token budgeting, usage quotas, and observability tools for tracing and optimization.
  • Ability to manage trade-offs between classic NLP approaches (such as NER, parsing, tf-idf) and large-model heuristics when required by efficiency goals.
  • Very strong communication and collaboration skills.

Benefits & Perks

100% remote work
Monthly WFH allowance
Career development program with 360º feedback
Allocated time for tech training (online courses, conferences, books, etc.)
Mentoring program (opportunities to be a mentor or mentee)
Access to Zartis Wellbeing Hub and Kara Connect platform with mental health, nutrition, physiotherapy, and fitness sessions
Multicultural working environment with online team-building activities

Ready to Apply?

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