AI/ML Solution Architect

Cloud Hybrid Technologies, LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

A technology solutions company is seeking a professional with extensive experience in AI/ML architecture and a strong background in data-driven decision systems. The ideal candidate should possess deep expertise in frameworks like TensorFlow and Snowflake, coupled with significant IT experience. You will lead cross-functional teams and define AI governance standards while collaborating closely with stakeholders to align AI solutions with organizational goals. This position offers a dynamic work environment and opportunities for professional development.

Qualifications

• 15+ years of IT experience, including 5+ years in AI/ML architecture or advanced analytics design.
• Deep expertise in AI/ML frameworks and data platforms.
• Proven ability to lead enterprise-scale architecture programs.

Skills

AI/ML architecture expertise

Leadership in global teams

Knowledge of CPG domain

Data-driven decision systems

Education

Bachelor’s or Master’s in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

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.

Cloud Hybrid 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. Cloud Hybrid 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 Cloud Hybrid 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