Senior AI engineer

Senior AI Solutions Engineer (Colombia)

Location:
Colombia (Hybrid) Work Hours: 8:00 AM – 5:00 PM Pacific Time (Strict & Non-Negotiable) We are looking for a Senior AI Solutions Engineer based in Colombia to drive enterprise AI adoption across our organization. This is a highly business-facing, consulting-heavy role. You will partner directly with cross-functional business leaders to translate complex operational challenges into scalable, production-grade AI applications. You will lead technical solution discovery, design enterprise agentic and RAG workflows, and guide engineering teams from initial Proof-of-Concept (PoC) through to full production deployment.

Key Responsibilities
Business Consulting & Discovery: Partner with business leaders across Ecommerce, Operations, Merchandising, Marketing, and Customer Experience. Facilitate workshops to translate ambiguous operational problems into concrete AI technical designs. Architecture & AI Delivery: Design, architect, and deploy enterprise AI solutions using Claude, LLMs, Agentic AI systems, and Retrieval-Augmented Generation (RAG). End-to-End Ownership: Define solution architectures, technical roadmaps, and implementation plans, partnering directly with engineering teams to move initiatives from PoC to production. Executive Communication: Present AI solution architectures, technical choices, and business value clearly and succinctly to both engineering teams and non-technical executive stakeholders. CoE Standards & Governance: Establish reusable AI architecture patterns, prompt engineering standards, and governance best practices within our AI Center of Excellence (CoE). Key Requirements 1. Soft Skills & Stakeholder Management Concise, Executive-Level Communication: Exceptional verbal and written English communication skills. Able to articulate complex technical architectures to non-technical stakeholders cleanly without verbosity or jargon. Consulting Mindset: Comfort operating independently in ambiguous environments, filling in requirement gaps proactively, and pushing back constructively with practical alternatives when solutions lack clarity. 2. Technical & AI Architecture GenAI & Solution Architecture: 4+ years designing and delivering enterprise AI/GenAI solutions, backed by 10+ years of software engineering experience, including scalable architecture, API integration, security, observability, and production deployment. Claude Experience (Mandatory): Proven hands-on experience designing, developing, and shipping production solutions using Claude and Claude APIs, including tool/function calling, structured outputs, prompt/context management, and enterprise integration patterns. Agentic AI & Multi-Agent Systems: Strong experience designing agentic and multi-agent architectures, including agent orchestration, supervisor/worker patterns, task decomposition, agent-to-agent communication, dynamic routing, shared/isolated state, memory management, human-in-the-loop workflows, retries, guardrails, and failure handling. AI Tooling & Frameworks: Deep hands-on experience with Python, RAG, Vector Databases, embeddings, semantic/hybrid search, prompt pipelines, and context engineering, using frameworks/protocols such as LangGraph, LangChain, and MCP. Agent Orchestration & Tool Integration: Experience building agents that securely interact with APIs, databases, enterprise systems, search/RAG services, and MCP tools, with stateful workflow execution, checkpointing, structured tool invocation, and authorization controls. AI Evaluation & Observability: Experience implementing LLM/agent evaluation, tracing, monitoring, hallucination/groundedness checks, token and latency optimization, cost monitoring, and agent/tool-call debugging for production AI systems. Core Stack Expertise: Working knowledge of at least one core technology stack—React, JavaScript/TypeScript, Java, or .
NET—to enable rapid onboarding and integration with existing production systems. 3. Availability Strict PST Schedule: Full availability during core business hours (8:00 AM – 5:00 PM Pacific Time, Monday–Friday). Preferred Qualifications / Pluses Ecommerce Domain

Experience:
Understanding of common e-commerce paradigms, systems, and data flows (cart/checkout flows, merchandising, payment gateways, ERP/OMS integrations). Enterprise AI CoE Background: Experience establishing operational AI patterns, AI-assisted tooling, or digital transformation initiatives in enterprise settings. Microsoft Ecosystem: Familiarity with Azure OpenAI, Azure infrastructure, or enterprise integrations. About VRIZE VRIZE is a global digital engineering and technology consulting company that partners with leading organizations to accelerate innovation through cloud, data, AI, and enterprise platforms. Our teams design, build, and modernize mission-critical technology solutions that help clients improve operational efficiency, enhance customer experiences, and drive measurable business outcomes. At VRIZE, you'll work alongside experienced engineers and technology leaders on complex enterprise initiatives while leveraging modern tools, cloud-native technologies, and AI-driven solutions. We foster a collaborative environment that encourages continuous learning, technical excellence, and professional growth.