AI/ML Solution Architect

Robotics Prcocess Automation, LLC

Dallas (TX)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

ROBOTIC PROCESS AUTOMATION LLC, based in Dallas, seeks a seasoned AI/ML architect to lead enterprise-scale design, governance, and cross-functional collaboration across global teams. The role emphasizes data platforms, model lifecycle, and compliance, with strong CPG domain insight.

Applicants should have hands-on expertise in TensorFlow, PyTorch, Snowflake, and data analytics, and the ability to align AI initiatives with business goals while ensuring privacy and ethical standards.

Qualifications

  • Bachelor’s or Master’s in Computer Science, Data Science, or related field.
  • 15+ years of IT experience, including 5+ years in AI/ML architecture or advanced analytics design.
  • Deep expertise in AI/ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
  • Hands-on knowledge of data platforms: Snowflake, Dataiku, Azure Data Services.
  • Experience defining AI governance, model lifecycle, and compliance standards.
  • Proven ability to lead cross-functional global teams and manage enterprise-scale architecture programs.
  • Strong understanding of CPG domain processes and data-driven decision systems.

Skills

AI/ML architecture
Data analytics design
Cross-functional leadership
CPG domain knowledge
Python / ML frameworks

Education

Bachelor’s or Master’s in CS/DS

Tools

TensorFlow
PyTorch
Keras
Scikit-learn
XGBoost
Snowflake
Dataiku
Azure Data Services

Job description

The candidate should have extensive experience in

Qualifications & Experience:
  • Bachelor’s or Master’s in Computer Science, Data Science, or related field.
  • 15+ years of IT experience, including 5+ years in AI/ML architecture or advanced analytics design.
  • Deep expertise in AI/ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
  • Hands‑on knowledge of data platforms: Snowflake, Dataiku, Azure Data Services.
  • Experience defining AI governance, model lifecycle, and compliance standards.
  • Proven ability to lead cross‑functional global teams and manage enterprise‑scale architecture programs.
  • Strong understanding of CPG domain processes and data‑driven decision systems.
Preferred Skills:
  • Exposure to Snowflake’s advanced AI capabilities (Feature Store, Model Registry, Cortex AI).
  • Experience integrating AI systems with Power BI, Azure Synapse, or custom visualization tools.
  • Understanding of MLOps concepts to effectively partner with operational teams.
  • Defining the AI system's architecture and components, including data pipelines, model selection, and deployment strategies.
  • Collaborating with stakeholders to understand business requirements and align AI solutions with organizational goals.
  • Evaluating and selecting the appropriate AI tools, frameworks, and technologies for the organization's needs. Leverage existing tools wherever possible.
  • Leading and guiding AI engineering teams, including AI Engineers and data scientists, in implementing AI solutions.
  • Ensuring compliance with data privacy regulations, ethical considerations, and best practices in AI development.
  • Overseeing the integration of AI solutions into the existing infrastructure and systems.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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