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phData

Principal Applied AI Solutions Architect

phData · US - Remote

Posted about 2 months ago · Previously reposted

or apply directly on phData's site. We never take the application ourselves.

Is this posting real?

This role has been open
52 days
phData's roles stay open a median of 47 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
0% of phData's roles list one
Ghost-job risk at phData
high
26 stale, 10 reposted of 45 open
Hiring momentum
77 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-27

Measured from postings appearing on and disappearing from phData's own greenhouse board since 2026-08-03. Full hiring picture for phData.

About this role

As a Principal Applied AI Solutions Architect at phData, you will lead the architecture and implementation of AI/ML applications, ensuring they deliver measurable business value for clients. Your role involves managing the entire lifecycle of AI/ML projects, collaborating with various teams and stakeholders, and ensuring the reliability and performance of deployed models. You will also mentor team members and contribute to reusable assets to enhance project delivery.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of phData as an employer.

What you need

  • 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist building and deploying production data and machine learning solutions.
  • Strong proficiency in a modern programming language such as Python for building production-grade data and ML solutions.
  • Ability to build and operate robust data pipelines across diverse data sources and toolsets, with strong working knowledge of SQL.
  • Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar.
  • Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP.
  • Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms.

Nice to have

  • Experience with cloud and data ecosystem technologies such as Spark, Databricks, Snowflake, AWS, Azure, or GCP.
  • Experience working with data science and machine learning libraries and frameworks such as H2O, TensorFlow, Keras, scikit-learn.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes, and with MLOps tooling such as AWS SageMaker, Azure ML, and MLflow.
  • Background in consulting or professional services, including pre-sales, project scoping, and strategic advisory work for data and AI/ML initiatives.
  • Contributions to technical communities, open source projects, public speaking, writing, or other relevant side projects.

What you get

  • Remote-First Work Environment
  • 401k plan with company match
  • Dental and Vision insurance
  • Home Office Equipment Stipend
  • Annual stipend for Learning and Development
  • Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays

Worth weighing

  • No salary listed
  • Role involves significant collaboration across teams, which may require strong interpersonal skills and adaptability to different working styles.
  • Willingness to travel up to 40% may be a consideration for work-life balance.

Summarised from phData's posting. Read the full original.

Listed by phData on their greenhouse job board, last confirmed open on 2026-09-27. PitchMeAI is not the employer.

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