Solution Architect, Data Science

This is a fully remote position, open to applicants in Illinois, +1 more state.

📋 Description

• Establish clear business-value metrics (e.g., ROI, revenue impact, cost reduction) in addition to technical performance objectives for each engagement.

• Oversee technical scoping, feasibility evaluations, and solution design for proposals, Statements of Work, and client presentations.

• Create scalable, secure, and maintainable end-to-end ML pipelines that encompass data analysis, feature engineering, model training, deployment, and MLOps.

• Lead cross-functional delivery teams including Data Scientists, Data Engineers, and ML Engineers to implement solutions that adhere to architectural standards.

• Set code quality benchmarks, model validation procedures, and technical best practices to mitigate technical debt and ensure system reliability.

• Clearly communicate technical concepts, model trade-offs, and operational risks to both technical teams and non-technical C-suite stakeholders.

• Develop operational workflows and user integration strategies to promote high adoption rates of AI/ML tools among end-users.

• Facilitate client enablement workshops and knowledge transfer sessions to enhance internal capabilities and ensure the sustainability of long-term solutions.

• Create rapid prototypes, technical presales presentations, and proof of concepts for potential client engagements.

⛳️ Requirements

• B.S. or M.S. in Computer Science, Engineering, Economics, or a related quantitative discipline.

• 7+ years of experience in Data Science & AI/ML, including extensive solution deployments.

• 4+ years in a client-facing role, ideally within a professional services environment.

• Demonstrated success in designing and executing modern data science solutions in at least two of the following domains: forecasting, anomaly detection, recommendation systems, computer vision, propensity modeling, and mathematical optimization.

• Advanced proficiency in Python and SQL, along with strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.).

• Familiarity with both commercial and open-source LLM APIs and tools such as Hugging Face Transformers, LangChain, etc.

• Experience in rapid prototyping and developing proofs of concept, technical presales presentations, and pricing for engagements.

• Excellent client-facing communication skills, with the ability to influence both technical and executive stakeholders.

• Prior experience with fraud detection, risk modeling, or anomaly prevention systems.

🏝️ Benefits

• Engaging, cutting-edge projects in Generative AI with clients spanning various industries—from Fortune 100 companies to innovative startups.

• Accelerated learning and mentorship opportunities with leaders and practitioners in AI/GenAI.

• A culture that fosters experimentation, innovation, and continuous improvement.

• Opportunities to participate as a conference speaker, blogger, or writer.

• A diverse and inclusive team, recognized as one of the top GenAI teams, where your voice, ideas, and contributions are highly valued.