Note: The job is a remote job and is open to candidates in USA. Transcarent is looking for a Sr. Principal ML Engineer to lead a team focused on enabling Data and AI/ML solutions and products across the company. In this role, you will set technical direction and partner with various stakeholders to deliver AI/ML solutions that improve the Member experience.
Responsibilities
- Lead a team focused on enabling Data and AI/ML solutions and products across the company
- Set technical direction with full autonomy, identifying systemic issues before they become crises, defining pragmatic architecture, and moving fluidly between hands-on execution and high-level design to unblock the initiatives that matter most
- Partner closely with engineering leadership, product, and cross-functional stakeholders to translate ambiguous business problems into scalable technical solutions
- Serve as a multiplier for the broader engineering organization through mentorship, design review, and technical influence
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- 12+ years of professional software/data engineering experience, including significant time operating as a senior individual contributor at Principal level or above
- Expert-level command of data engineering fundamentals: distributed data processing (Spark), stream and batch pipeline design, data warehouse/lakehouse architecture, and ELT/ETL patterns
- Strong ML engineering proficiency, including feature engineering, model training and evaluation, deployment, and production monitoring
- Hands-on experience with modern GenAI and LLM workflows, including RAG architectures, fine-tuning, prompt engineering, and responsible AI practices
- Cloud-native platform fluency across one or more major providers (AWS, GCP, Azure), including managed data and ML services
- Proficiency in Python and SQL as primary languages; comfort with Go, Java, or equivalent as needed
- Demonstrated ability to lead complex, cross-functional technical initiatives from ambiguity through production without relying on organizational authority
- Excellent written and verbal communication skills, with a track record of influencing senior technical and non-technical stakeholders
- Experience with key ecosystem tools such as Databricks, dbt, Kafka, and MLflow
- Experience in healthcare, benefits, or another regulated, compliance-sensitive industry
- Track record of applying GenAI tools as a velocity and quality multiplier for yourself and your team
- Experience defining data governance, lineage, and observability frameworks at platform scale
- Prior experience mentoring senior engineers or informally leading technical communities of practice
Benefits
- Corporate bonus program or a sales incentive (target included in OTE)
- Stock options
- Competitive medical, dental, and vision coverage
- Competitive 401(k) Plan with a generous company match
- Flexible Time Off/Paid Time Off, 13 paid holidays
- Protection Plans including Life Insurance, Disability Insurance, and Supplemental Insurance
- Mental Health and Wellness benefits
Company Overview
Company H1B Sponsorship