Applied AI Solutions Architect

🔥 12 hours ago

💃 Latin America – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Design and lead end-to-end Applied AI architectures across predictive ML, MLOps, generative AI, RAG, and agentic workflows • Translate ambiguous business problems into use cases, technical requirements, solution options, and implementation plans • Guide delivery teams through discovery, prototyping, implementation, deployment, and productionization • Ensure solutions meet standards for reliability, scalability, security, and governance • Partner with client stakeholders, senior architects, and sales teams on discovery and architecture workshops, roadmaps, proposals, statements of work, and technical demonstrations • Document architecture decisions, patterns, reference designs, and lessons learned for reuse across clients

🎯 Requirements

• 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 • 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 Snowflake, Databricks, at least one major cloud provider (AWS, Azure, or Google Cloud), dbt, and modern AI platforms such as Anthropic or OpenAI • Proficiency in Python and strong working knowledge of SQL • Ability to evaluate technology choices and tradeoffs, integrate AI solutions with enterprise data platforms and applications, and apply CI/CD and productionization practices for AI/ML systems • Bachelor's degree in relevant field, or equivalent practical experience • Preferred qualifications include advanced agentic AI systems, enterprise-scale RAG, advanced MLOps, reusable accelerators, multi-client solutions, enterprise industry experience, and technical community or open-source contributions

🏖️ Benefits

• Remote-First Work Environment • Casual, award-winning small-business work environment • Collaborative culture that prizes autonomy, creativity, and transparency • Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks) • Accelerated learning and professional development through advanced training and certifications • Impactful work with leading organizations on meaningful data & AI initiatives • Challenging projects, mentorship, and structured development pathways