Solution Architect - Data

PreludeSys

What Youll Do

As a Solution Architect at PreludeSys, you will:

• Define AI Strategy:

  Establish and evolve the companys AI vision, roadmap, and execution plan.

• Align with Business Goals:

  Ensure AI initiatives deliver measurable outcomes aligned with organizational objectives.

• Architect & Deploy AI Models:

  Lead the design, development, and deployment of models across the full AI lifecyclefrom problem scoping to production integration.

• Leverage Advanced AI:

  Experiment with and implement state-of-the-art models including transformers, GPT, BERT, and generative AI.

• Collaborate with Stakeholders:

  Partner with internal teams and external clients to gather requirements, provide architectural guidance, and integrate AI seamlessly into systems.

• Mentor & Inspire:

  Guide junior team members, foster innovation, and promote a culture of continuous learning.

• Champion Responsible AI:

  Advocate for ethical, explainable, and scalable AI practices.

Your Skillset

Were looking for an AI leader who blends technical depth with strategic vision. Must-haves include:

• Experience:

  7+ years in AI/ML solution architecture, data science, or enterprise AI product development.

• Programming & Frameworks:

  Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face.

• Model Expertise:

  Strong understanding of algorithms, evaluation, deployment workflows, and transformer-based NLP models (GPT, BERT, etc.).

• MLOps Knowledge:

  Familiarity with ML lifecycle tools (MLflow, Kubeflow), containerization (Docker), and API frameworks (FastAPI, Flask).

• Cloud Platforms:

  Proven experience deploying AI solutions on Azure, AWS, or GCP using native AI/ML services.

• Education:

  Masters degree in Data Science, AI, ML, or related field (PhD preferred).

• Certifications:

  Azure AI Engineer Associate or equivalent preferred.

• Nice to Have:

  Research publications, patents, or open-source AI/ML contributions.