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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Principal Machine Learning Engineer - **Company:** Transcarent, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $190,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Foundry, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Distributed Computing Environment, High-Level Architecture, Python (Programming Language), Machine Learning, Performance Tuning, Azure Machine Learning, SQL Databases, Google Cloud, Feature Engineering, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Information Technology, Data Analytics, Apache Kafka, Machine Learning Operations, Databricks - **Published:** July 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=58e292df4fbf50db ## About the Role * Strategic and systems-level thinking * Technical depth in Data and AI/ML paired with hands-on execution * Cross-functional influence without direct authority * Data-driven, evidence-based decision-making * Ownership, accountability, and bias for action * Clear communication with technical and non-technical audiences * Mentorship and technical coaching * Adaptability in ambiguous, fast-changing environments, * 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. Preferred Qualifications * 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. ## Description 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, with a particular focus on ML platform our flagship WayFinding experience. In this role, you will 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. You will partner closely with engineering leadership, product, and cross-functional stakeholders to translate ambiguous business problems into scalable technical solutions, and serve as a multiplier for the broader engineering organization through mentorship, design review, and technical influence. The ideal candidate brings strong machine learning engineering experience, sound technical judgment, and a people-first leadership style. You should be comfortable operating in a fast-moving environment, partnering closely with product, engineering, clinical, data, and business stakeholders to deliver AI/ML solutions that improve the Member experience and support Transcarent's mission to measurably improve health and care. Though understanding of AI/ML is crucial for this role, we kindly request that you refrain from using GenAI while going through the interview process to allow fair evaluation of your skillset. ## Related Videos - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)