Principal Solutions Architect at Paramount improving media platforms through design and AI technology. Overseeing MAM/PAM ecosystems and architecture for media supply chains.
About the role
- Solution Architect II crafting AI-driven solutions for GM Financial's technology ecosystem. Collaborating with teams to enhance infrastructure and ensure compliance with emerging technologies.
Responsibilities
- Serve as a key technical expert across multi‑disciplinary project teams, including AI/ML and cloud initiatives.
- Own roadmaps and strategies for assigned technology domains, with a focus on AI/ML and Generative AI adoption.
- Partner with internal and external stakeholders to understand requirements and deliver needed technical artifacts.
- Design and deliver AI‑powered infrastructure solutions using Azure AI, Databricks, and GenAI frameworks.
- Develop technical strategies and act as SME for AI/ML, cloud, and data architecture throughout solution design and delivery.
- Document infrastructure and AI solution designs to GMF standards and lead them through formal review.
- Contribute to RFP/SOW development and support vendor evaluation for AI and cloud technologies.
- Shape short‑ and long‑term AI and cloud infrastructure strategies across the IT portfolio.
- Advise teams on GMF standards, security requirements, methodologies, and AI/data governance practices.
- Estimate architecture effort and review/approve AI and infrastructure designs for project teams.
- Communicate and validate solution architectures with leadership, executive stakeholders, and enterprise architects.
Requirements
- 2-4 years of relevant experience in AI/ML solution architecture, cloud platforms, and data engineering required
- High School Diploma or equivalent required
- Bachelor’s Degree in related field or equivalent experience preferred
- Deep expertise in AI/ML and GenAI — including LLMs, diffusion models, deep learning, NLP, and AI‑driven automation.
- Strong technical foundation with Python/Java/C++, major AI frameworks (TensorFlow, PyTorch, Hugging Face), and large‑scale AI solution design (data ingestion, processing, deployment).
- Cloud and platform proficiency, especially Azure AI, Azure ML, Databricks, and experience deploying AI models across Azure/AWS/GCP with solid knowledge of data engineering and MLOps practices.
- Excellent problem‑solving and collaboration skills, able to break down complex challenges, communicate effectively across teams, and stay current with emerging AI and cloud technologies.
Benefits
- Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
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