Applied AI solutions Architect

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. Why phData? Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network 2025 Fivetran Partner of the Year (4th consecutive year) 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status 2026 KNIME Customer Excellence Partner of the Year Preferred Partner in the Anthropic Claude Partner Network #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) Recognized as an award-winning workplace in the US , India and LATAM We are looking for an Applied AI Solutions Architect to join our Applied AI practice team. In this role, you will design and lead practical, production-ready Applied AI solutions that connect data, cloud, and AI technologies to deliver measurable business impact. You will collaborate closely with client stakeholders, senior architects, and cross-functional engineering teams to shape architectures, guide implementation, and move AI initiatives from experimentation into reliable production systems. You will help ensure that phData’s Applied AI solutions are robust, secure, governed, and aligned to each client’s strategic objectives. Key Responsibilities Lead the design of end-to-end Applied AI architectures across predictive ML, MLOps, generative AI, RAG, and agentic workflows that are aligned to client goals, constraints, and success criteria. Translate ambiguous business problems into clear use cases, technical requirements, solution options, and implementation plans that connect AI capabilities to measurable outcomes. Guide and support delivery teams through discovery, prototyping, implementation, deployment, and productionization, ensuring solutions meet standards for reliability, scalability, security, and governance. Partner with client stakeholders, senior architects, and sales teams to run discovery and architecture workshops, shape roadmaps, and contribute to proposals, statements of work, and technical demonstrations. Contribute to practice assets by documenting architecture decisions, patterns, reference designs, and lessons learned that can be reused across clients to accelerate high-quality Applied AI delivery. About You You are a technically rigorous, client-focused architect who enjoys solving complex, ambiguous problems in an outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones. Required Qualifications Experience 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years leading AI, ML, MLOps, or data-intensive solutions in production. Technical / Functional Skills Strong understanding of Applied AI and modern ML systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, semantic retrieval, and agentic architectures. Proven experience architecting and operationalizing production AI/ML systems, including model deployment, inference, monitoring, evaluation, retraining, and governance. Hands-on experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, at least one major cloud provider (AWS, Azure, or Google Cloud), and tools like dbt plus modern AI platforms (for example, Anthropic or OpenAI). Proficiency in Python and strong working knowledge of SQL for building, integrating, and troubleshooting data- and AI-int…