Senior Solutions Architect – Data & AI

At EX Squared LATAM, we are a digital transformation company focused on developing innovative, high-impact solutions that create real business value. We partner with leading organizations across global, regional, and local markets, fostering a collaborative, inclusive, and innovation-driven culture where every person’s ideas and expertise matter. About the Position Our client, a leading global organization in the foodservice and distribution industry, is advancing a major Data and AI transformation and strengthening the architecture behind its enterprise analytics ecosystem. We are looking for a Senior Solutions Architect – Data & AI to design complex, enterprise-scale Data, Analytics, Machine Learning, and AI solutions. This is a senior Individual Contributor (IC), hands-on architecture role for an experienced architect who can translate enterprise strategy, business requirements, and architecture standards into practical solutions that work in production. You will work across modern cloud data platforms, enterprise analytics, semantic architecture, ML/AI, Generative AI, RAG, and agentic AI, ensuring solutions are scalable, secure, governed, cost-effective, and aligned with enterprise architecture standards. What You’ll Do Own end-to-end solution architecture for complex enterprise Data, Analytics, Machine Learning, and AI initiatives. Design AI-powered analytics solutions combining enterprise data, ML models, AI agents, conversational analytics, and modern user experiences. Design architectures for Generative AI, RAG, natural-language analytics, and agentic AI workflows using governed enterprise data and knowledge sources. Architect ML/AI enablement capabilities, including feature stores, model serving, and MLOps pipelines. Design analytics solutions on modern cloud data platforms, particularly GCP and BigQuery. Establish architecture patterns for semantic layers, dimensional models, governed metrics and KPIs, certified datasets, and self-service analytics. Define how analytics and AI solutions consume enterprise data through governed data products, semantic models, feature stores, APIs, and approved integration patterns. Translate enterprise reference architectures and standards into practical project-level designs and maintain architectural integrity throughout delivery. Collaborate closely with Enterprise Architecture, Data Platform, AI, Engineering, Cybersecurity, and Cloud Governance teams on solution design and technical decisions. Participate in architecture reviews and contribute to Architecture Decision Records (ADRs), Key Design Decisions (KDDs), reference architectures, and reusable solution patterns. Define architecture requirements for performance, scalability, security, observability, cost efficiency, and operational supportability. Incorporate FinOps, lineage, metadata, data quality, access controls, and security requirements into solution designs. Develop and evaluate proofs of concept across the analytics, semantic, ML, and AI ecosystem. Provide technical guidance on complex architecture decisions, dependencies, and design trade-offs. Work directly with architects, engineers, analysts, and other technical professionals to enable effective implementation of architecture designs. Clearly communicate architecture decisions, recommendations, risks, and trade-offs to technical teams and senior stakeholders. What You’ll Need to Succeed 10+ years of professional experience in Data, Analytics, or related technology domains, including significant experience architecting enterprise-scale analytics solutions. Strong hands-on experience designing solutions across enterprise Data and Analytics environments. Deep expertise designing analytics solutions on modern cloud data platforms, ideally GCP and BigQuery. Strong experience with enterprise BI and analytics technologies such as Looker, LookML, Power BI, Tableau, or comparable platforms. Strong expertise in dimensional modeling, semantic modeling, semantic layers, and governed enterprise metrics. Experience with technologies and architectural patterns involving dbt, feature stores, model serving, and MLOps. Strong understanding of modern AI architectures, including Generative AI, LLMs, RAG, natural-language analytics, and agentic workflows. Experience designing ML/AI solutions using Vertex AI or comparable enterprise cloud AI platforms. Experience working within formal architecture governance environments, including ADRs/KDDs, architecture review boards, reference architectures, and pattern libraries. Experience integrating analytics solutions with enterprise data platforms through governed interfaces and shared architecture standards. Strong command of non-functional architecture, including performance, scalability, security, observability, FinOps, and operational supportability. Ability to evaluate complex technical alternatives and make sound architecture decisions based on business and technical requirements. Excellent written and verbal communication skills, including the ability to collaborate with and influence senior technical and business stakeholders. Ability to operate effectively as a senior Individual Contributor, taking ownership of architecture while working collaboratively across multiple teams and initiatives. Advanced English proficiency for effective communication with geographically distributed teams and stakeholders. What Will Make You Stand Out Deep hands-on expertise with GCP, BigQuery, and Vertex AI. Experience architecting AI-powered analytics platforms combining enterprise data, ML models, AI agents, and conversational interfaces. Experience designing RAG architectures connecting LLMs with governed enterprise data and knowledge sources. Experience designing or implementing agentic AI and multi-agent workflows. Advanced experience establishing enterprise semantic layers and governed metric frameworks using LookML, dbt Semantic Layer, or similar technologies. Experience designing feature stores, model-serving architectures, and enterprise MLOps capabilities. Experience working with federated or domain-oriented Data and Analytics operating models. Experience designing analytics onboarding or integration patterns for M&A environments. TOGAF, DAMA CDMP, or equivalent architecture/data management certifications. Industry experience in supply chain, distribution, retail, or food services. Why EX Squared? At EX Squared, we believe in building strong, collaborative teams capable of creating meaningful impact. You will have the opportunity to contribute directly to sophisticated enterprise Data and AI initiatives within a large-scale global organization undergoing an important technology transformation. We especially value technical depth, architectural judgment, ownership, critical thinking, communication, and collaboration. We are looking for professionals who can understand the broader enterprise architecture while remaining close enough to the technology to turn complex requirements into practical, scalable solutions. What We Offer Competitive compensation. Long term contract engagement. Remote work from Latin America. Participation in high-impact enterprise Data, Analytics, Machine Learning, and AI initiatives. Exposure to complex architecture challenges within a large-scale global environment. Hands-on work with modern cloud, analytics, Generative AI, and agentic AI technologies. Collaboration with experienced Architecture, Data, AI, Engineering, Security, and Business professionals. A dynamic environment focused on Data, AI, innovation, and continuous improvement. Opportunities for professional growth and continued learning. Eligibility Note This opportunity is currently open to professionals who reside in Latin America and can work effectively with geographically distributed teams. Ready to Become an EXpert? If you are an experienced Solutions Architect with strong hands-on expertise across enterprise analytics, cloud data platforms, semantic architecture, ML/AI, and Generative AI, and you enjoy turning complex requirements into scalable, governed, production-ready solutions, we want to meet you. Join our team of EXperts! #ApplyNow