# Machine Learning solutions Architect

**Company**: phData
**Location**: LATAM - Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Consulting

**Apply**: https://job-boards.greenhouse.io/phdata/jobs/8084122?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2dcbc780-e4d

## Description

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. They partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve complex data and AI challenges.

As a Machine Learning Solutions Architect, 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.

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-intensive solutions.

- 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.

Benefits at phData LATAM:

- 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

## Skills

### Required
- Applied AI
- Machine Learning
- MLOps
- Cloud Computing
- Python
- SQL
- Snowflake
- Databricks
- AWS
- Azure
- Google Cloud
- dbt

### Nice to have
- Agentic AI systems
- RAG systems
- Semantic retrieval solutions
- Intelligent workflow automation
- Cloud-native AI/ML services
- Advanced MLOps capabilities
- Model registries
- Feature stores
- Data and model lineage
- Drift detection
- AI evaluations
- Prompt management
- AI gateways

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/phdata/jobs/8084122?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)