AI Solutions Architect (GenAI)

TL;DR

AI Solutions Architect (GenAI): Designing and leading GenAI and agentic AI architectures for enterprise clients with an accent on LLM orchestration, RAG, and scalable system integration. Focus on translating complex business use cases into production-ready AI designs and guiding presales technical strategy.

Location: Argentina, Brazil, Colombia, Georgia, or Poland

Company

AI-native consulting and technology services firm specializing in enterprise transformation across cloud, data, software engineering, and artificial intelligence.

What you will do

• Lead the design of GenAI and Agentic AI architectures, balancing innovation, feasibility, and scalability.
• Partner with presales and sales teams to define technical scope, implementation roadmaps, and effort estimates.
• Translate business use cases into detailed AI system designs covering model strategy, data access, and integration patterns.
• Evaluate and select appropriate AI frameworks, LLMs, vector databases, and cloud AI services.
• Develop architectural artifacts, proof-of-concepts, and technical documentation to support client proposals.
• Ensure all proposed solutions adhere to security, compliance, and Responsible AI principles.

Requirements

• 12+ years of total IT experience.
• 5+ years in solution architecture roles focused on cloud systems integration and distributed application design.
• 2+ years of hands-on experience architecting GenAI or agentic AI systems using modern LLM ecosystems (e.g., OpenAI, Anthropic, Azure AI).
• Strong understanding of LLM orchestration, retrieval-augmented generation (RAG), vector databases, and prompt engineering.
• Proficiency with at least one major cloud platform: AWS, Azure (preferred), or GCP.
• Solid grasp of software engineering fundamentals, API design, and modern delivery practices (CI/CD, containerization, DevSecOps).

Nice to have

• Prior experience with traditional AI/ML systems, MLOps, and data pipelines.
• Familiarity with open-source LLMs and fine-tuning frameworks.
• Hands-on experience with Databricks or Snowflake.
• Industry-recognized cloud and AI certifications.

Culture & Benefits

• Opportunity to shape real-world AI projects across diverse industries, from startups to large enterprises.
• Collaborative environment within a global team spanning multiple continents and cultures.
• Inclusive culture prioritizing continuous learning, innovation, and ethical AI standards.