GenAI Engineer (AI Solutions & Architecture)

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside. We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others. Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity. Its time to burst the bubble, and we will do it together! What You'll do: - Own and refine end-to-end GenAI user stories, ensuring clear definition of acceptance criteria, dependencies, and technical feasibility before implementation. - Act as the technical owner of the GenAI scope, aligning closely with Enterprise Architecture (EA) teams on scope, complexity, estimates, and implementation approach. - Assess, validate, and communicate the impact of GenAI solutions on enterprise architecture, including feasibility, risks, scalability, data, and security implications. - Serve as a technical partner for engineering and product teams, guiding decisions around GenAI design patterns, agentic systems, and LLM-based architectures. - Design and support GenAI-enabled systems using modern agentic development tools and workflows (e.g., Claude Code), including skills, MCP servers, rules, and command-driven automation. - Contribute to the design and evolution of agentic system architectures and LLM orchestration patterns. - Work hands-on with Python, vector databases, semantic search, prompt engineering, and LLM parameterization to enable robust GenAI capabilities. - Support the design and extension of serverless architectures on AWS, ensuring scalability and maintainability of GenAI services integrated into core applications. - Collaborate with data teams on DBT and Snowflake-based data models supporting GenAI use cases. - Hybrid Work Model Who You Are: - Own and refine end-to-end GenAI user stories, ensuring clear definition of acceptance criteria, dependencies, and technical feasibility before implementation. - Act as the technical owner of the GenAI scope, aligning closely with Enterprise Architecture (EA) teams on scope, complexity, estimates, and implementation approach. - Assess, validate, and communicate the impact of GenAI solutions on enterprise architecture, including feasibility, risks, scalability, data, and security implications. - Serve as a technical partner for engineering and product teams, guiding decisions around GenAI design patterns, agentic systems, and LLM-based architectures. - Design and support GenAI-enabled systems using modern agentic development tools and workflows (e.g., Claude Code), including skills, MCP servers, rules, and command-driven automation. - Contribute to the design and evolution of agentic system architectures and LLM orchestration patterns. - Work hands-on with Python, vector databases, semantic search, prompt engineering, and LLM parameterization to enable robust GenAI capabilities. - Support the design and extension of serverless architectures on AWS, ensuring scalability and maintainability of GenAI services integrated into core applications. - Collaborate with data teams on DBT and Snowflake-based data models supporting GenAI use cases. What you'll get: - Wage according to candidate's professional experience; - Remote Work whenever possible; - Delivery of work equipment adjusted to the performance of functions; - Benefits plan; - And others. Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries. Are you ready to step into a diverse and inclusive world with us? Together we will promote uniquess!