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Applied AI Solutions Architect

3 weeks, 4 days ago
United States
Full-time
Lead
Solutions Architect
Software Development
AWS Azure Databricks dbt GCP Generative AI LLM Machine Learning MLOps Python Snowflake SQL
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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 27

Description

  • Lead the design of end-to-end Applied AI architectures across predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation.
  • Translate ambiguous business requirements into solution designs, technical requirements, implementation roadmaps, and measurable success criteria.
  • Guide and contribute hands-on to prototypes, proofs of concept, and production implementations.
  • Partner with client and internal stakeholders in discovery sessions, architecture workshops, and roadmap discussions.
  • Evaluate AI opportunities, recommend technology choices, and help de-risk complex technical decisions.
  • Ensure AI systems are built with strong security, observability, evaluation, governance, cost-effectiveness, and monitoring.
  • Support production operations, including retraining and ongoing system support.
  • Collaborate across distributed global teams and time zones to deliver client engagements.

Requirements

  • 8+ years of experience designing, building, or delivering data, analytics, cloud, software, machine learning, or AI solutions.
  • At least 5 years of experience designing or leading AI, machine learning, MLOps, or data-intensive solutions in production.
  • Strong understanding of Applied AI systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, and agentic architectures.
  • Hands-on experience with production AI/ML systems, including evaluation, observability, security, governance, and operational support.
  • Experience with cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or similar frameworks.
  • Proficiency in Python and strong working knowledge of SQL.
  • Proven ability to translate business and technical requirements into architectures, solution designs, and implementation plans.
  • Bachelor’s or master’s degree in computer science, engineering, data science, or a related technical field, or equivalent practical experience.
  • Preferred: Experience with agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or protocols such as MCP.
  • Preferred: Experience designing and deploying enterprise RAG systems, semantic retrieval, AI applications, or workflow automation.
  • Preferred: Experience with cloud-native AI/ML services such as AWS Bedrock and SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex.
  • Preferred: Experience with model registries, feature stores, lineage, monitoring, drift detection, AI evaluations, prompt management, or AI gateways.
  • Preferred: Experience building reusable accelerators, modular architectures, or solutions deployed across multiple clients.

Benefits

  • Remote-first work environment.
  • 401(k) plan with company match.
  • Dental and vision insurance.
  • Home office equipment stipend.
  • Annual learning and development stipend.
  • Competitive compensation.
  • 4 weeks of PTO plus 10 holidays.
  • Opportunity to work on meaningful data and AI initiatives with leading organizations.

Interested in this position?

Apply directly on the company website

Apply Now

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