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Applied AI solutions Architect

1 month ago
Brazil
Full-time
Lead
AI Engineer
Software Development
AWS Azure CI/CD Databricks dbt GCP Generative AI MLOps Python SageMaker Snowflake SQL
Apply Now
phData

phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services
251-1K
View All Jobs 28

Description

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

Requirements

  • 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions.
  • 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 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), and tools like dbt plus modern AI platforms such as Anthropic or OpenAI.
  • Proficiency in Python and strong working knowledge of SQL.
  • Ability to evaluate technology tradeoffs, integrate AI solutions with enterprise data platforms and applications, and apply CI/CD and productionization practices.
  • Bachelor's degree in a relevant field, or equivalent practical experience.
  • Preferred: Experience with advanced agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or MCP.
  • Preferred: Experience designing and deploying enterprise-scale RAG systems, semantic retrieval solutions, intelligent workflow automation, and cloud-native AI/ML services such as AWS Bedrock, SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex.
  • Preferred: Experience with advanced MLOps capabilities such as model registries, feature stores, lineage, drift detection, AI evaluations, prompt management, or AI gateways.
  • Preferred: Experience building reusable accelerators, modular architectures, or multi-client solutions.
  • Preferred: Industry experience applying AI or ML in life sciences, retail, financial services, manufacturing, or similar enterprise environments, plus contributions to technical communities, open-source projects, or thought leadership.

Benefits

  • Remote-first work environment.
  • Competitive compensation and excellent benefits.
  • Generous PTO plan plus 10 holidays.
  • Accelerated learning and professional development through advanced training and certifications.
  • Supportive, collaborative global team with autonomy, transparency, and continuous improvement.
  • Challenging projects, mentorship, and structured development pathways.

Interested in this position?

Apply directly on the company website

Apply Now

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