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Added 5 mins ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Dover, DE
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 5 mins ago
Python- AI Software Engineer III
JPMorgan Chase
Wilmington, DE
As a Software Engineer III at JPMorgan Chase within the Corporate Sector, you will design, build, and maintain scalable backend data engineering solutions that power critical financial…
Added 5 mins ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Dover, DE
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 5 mins ago
Software Engineer III - Python/PySpark/Databricks/AWS
JPMorgan Chase
Wilmington, DE
As an Software Engineer III - Python/PySpark/Databricks/AWS at JPMorgan Chase within the Corporate Sector-Global Finance team, you will be a key member of an agile team, tasked with…
Added 13 mins ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Pierre, SD
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 13 mins ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Pierre, SD
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 17 mins ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Boston, MA
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 17 mins ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Cambridge, MA · Boston, MA
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 17 mins ago
Senior Software Engineer
ManpowerGroup
Boston, MA
Our client is seeking a Senior Software Engineer to join their team. As a Senior Software Engineer, you will be part of the Engineering organization supporting Analytics Engineering. The…
Added 41 mins ago
C
Staff Applied AI Engineer (Forward Deployed) [NYC or SF]
Concurrence
New York City, NY
- $240,000 to $300,000 USD / year
…are on track to grow tenfold this year. We run natively on Databricks, integrate with every major EHR, and are backed by Madrona, General Catalyst, and Optum Ventures. We’re about 35…
Added 57 mins ago
J
Big Data Architect IT Consultant Master
Jobgether
Remote, United States
- $75 to $80 USD / hour
Databricks Certified Data Engineer Professional certification is highly desirable.
Added 1 hour ago
Senior Data Engineer
Consumer Cellular
Scottsdale, AZ
Act as a technical expert and engineer on an agile squad.
Added 2 hours ago
J
Technical Product Manager, Data and Internal Products
Jobgether
Remote, United States
- $180,000 to $230,000 USD / year
Previous experience in a technical role, such as Software Engineer, Data Scientist, Machine Learning Engineer, or highly technical Data Analyst.
Added 2 hours ago
Lead ML/AI Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead ML/AI Engineer based in the United States.
Added 2 hours ago
Senior Data Engineer
Alter Domus
United States
Join our team as a Senior Data Engineer building and operating the Alter Domus data platform, a Databricks lakehouse on AWS that hydrates data from our fund administration, accounting, and…
Added 3 hours ago
Senior Data Architect and Engineer
Gulf Coast Automation Group
Chicago · Chicago, IL
Job Title: Senior Data Architect and Engineer
Added 3 hours ago
Senior BI Engineer
Insight Global
Blue Ash, OH
Insight Global is seeking a Senior BI Engineer for a leading healthcare technology organization. This role focuses on building and optimizing enterprise-scale business intelligence…
Added 4 hours ago
Senior Data Engineer
Kentro
Fayetteville, NC
Kentro is hiring for a Senior Data Engineer to design, build, and operate data pipelines and data products supporting United States Army Special Operations Command (USASOC) Enterprise…
Added 4 hours ago
Information Systems Engineer Senior
Amerihealth Caritas
United States
The Platform Automation Engineer Senior is responsible for designing, implementing, automating, and supporting our cloud and on-premises infrastructure platforms. The engineer should have…
Added 5 hours ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Augusta, ME
We are seeking a highly skilled and experienced Senior Azure Engineer to join our cloud engineering team. This role is for a hands-on technical contributor who will design, implement,…
Added 5 hours ago
Data Platform Engineer (Army Vantage) - Clearance Required
LMI
United States
LMI is seeking a skilled Data Platform Engineer to join our team and contribute to developing innovative software programs that support activities for the Army Materiel Command and Army’s…
Added 5 hours ago
Data Engineer III (OIT)
Emory University
Atlanta, GA
Proficiency with and proven ability to drive adoption of Microsoft Fabric, Azure Synapse, Snowflake, or Databricks
Added 5 hours ago
Data and AI Product Engineer
Information Systems
United States
The Data and AI Product Engineer designs and develops modern data, analytics, AI, and web-based products that enable users to interact with data and analytics in intuitive ways. This role…
Added 6 hours ago
GD
Lead Data Warehouse Engineer
Green Dot Corporation
Los Angeles, CA · San Francisco, CA
- $139,900 to $199,300 USD / year
…tools with batch and real-time event data streams (Informatica, Databricks, Apache Kafka, Azure Event Hub, SQL Packages,…
Added 6 hours ago
Senior Software Engineer
Experis USA
Boston, MA
Our client is seeking a Senior Software Engineer to join their team. As a Senior Software Engineer, you will be part of the Engineering organization supporting Analytics Engineering. The…

Jobgether

Lead ML/AI Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 2, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead ML/AI Engineer based in the United States.

Take a leading role in building the production infrastructure that turns machine learning predictions into measurable actions and outcomes across healthcare markets. You will own the engineering behind a real-time decision platform, connecting models, care teams, payer systems, and feedback loops. Combining AWS-native services with a Databricks lakehouse, you will establish scalable, secure, and cost-efficient systems that operate under strict protected health information (PHI) controls. You will define technical standards for decisioning, streaming, MLOps, and generative AI applications while remaining hands-on with critical components. Working closely with data science, engineering, medical economics, clinical, and operations teams, you will ensure that models are reliable, measurable, and ready for production. This is a senior individual contributor position with significant technical ownership and influence over the platform's long-term architecture.

Accountabilities

As Lead ML/AI Engineer, you will own the engineering foundations that connect model outputs to real-world decisions, ensure reliable feedback and measurement, and establish production standards across the ML/AI platform. Your responsibilities will include:

• Own the decisioning and feedback layer connecting model scores to actions, including action selection and ranking, holdout and experiment assignment, outcome capture, production ROI calculations, and pipelines measuring the impact of actions and channels.

• Lead the engineering implementation, auditability, and reproducibility of production savings calculations in collaboration with medical economics and data science teams.

• Design event-driven, real-time integrations between model outputs and operational systems, including streaming pipelines, versioned schemas, data contracts, replay mechanisms, event ordering, idempotency, and failure handling.

• Define and maintain integration contracts with partner teams to ensure reliable data exchange and system interoperability.

• Establish cost-to-serve standards by defining compute, streaming, inference, and LLM spending budgets at the model and decision levels, making cost a release criterion alongside latency and accuracy.

• Set production standards for ML models, including CI/CD, model registries, alerting, drift monitoring, coverage, and calibration across different cohorts, markets, and payers.

• Build and maintain model promotion gates to ensure that models and ranking systems meet production requirements before deployment.

• Own the target architecture and technical roadmap for the AWS-native infrastructure and Databricks lakehouse, including infrastructure as code, IAM, secure data handling, containerized inference, and managed foundation-model services under PHI controls.

• Define technical direction and production standards for generative AI applications, including LLM pipelines and agentic workflows, with appropriate evaluation, retrieval, guardrails, and cost controls.

• Collaborate with data scientists on modeling and measurement approaches, medical economics teams on savings methodology, and engineering teams on shared pipelines, interfaces, and contracts.

• Establish engineering standards covering code reviews, automated testing, reproducibility, documentation, and release discipline.

• Lead architecture and design reviews, document technical decisions, and mentor engineers and data scientists on system design and production engineering practices.

• Represent the team's technical direction and recommendations to R&D leadership, finance, clinical, and operations stakeholders.

Requirements

The ideal candidate is an experienced ML/AI engineering leader who has built and operated production systems that influence real-world decisions and measure their impact. You should combine strong software and infrastructure expertise with technical leadership, sound engineering judgment, and the ability to collaborate across multidisciplinary teams.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

• At least 8 years of experience in ML engineering, MLOps, or software engineering, including 4+ years operating machine learning systems in production.

• At least 2 years of experience serving as the technical lead or architect of a production ML or decisioning system.

• Demonstrated experience building or operating prescriptive production systems, such as recommendation, decisioning, prioritization, or experimentation platforms that allocate constrained resources against measurable outcomes.

• Production experience with AWS data and machine learning services, as well as infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.

• Production experience with Databricks, PySpark, Delta Lake, MLflow, or equivalent technologies.

• Hands-on expertise designing and operating event-driven or streaming systems using technologies such as Kinesis, Kafka, or equivalent, including schema or contract management.

• Strong Python and SQL skills, with practical experience operating production ML workloads such as training pipelines, model serving, feature systems, or ML platform tooling.

• Experience implementing CI/CD for ML workloads and monitoring models and pipelines, including calibration across heterogeneous populations.

• Proven ability to establish engineering standards, improve team practices through code reviews, and mentor technical colleagues.

• Willingness and ability to travel up to 10% for onsite meetings, team collaboration, and company events.

Preferred Qualifications:

• Experience building and evaluating machine learning models using scikit-learn, XGBoost, or PyTorch.

• Exposure to healthcare economics or value-based care, including savings methodologies, attribution, and payer contract constraints.

• Experience with dbt and lakehouse data modeling.

• Familiarity with healthcare data, including claims, pharmacy, eligibility, prior authorization, and electronic health records (EHR), as well as PHI handling requirements.

• Experience with uplift modeling, bandit algorithms, sequential decisioning, or holdout-based measurement in production.

• Experience with containerized model serving and staged or canary deployment strategies.

• Familiarity with Amazon Bedrock or other managed foundation-model platforms operating under a HIPAA Business Associate Agreement (BAA).

• Experience with agentic frameworks and production retrieval systems.

• Demonstrated experience building or operating LLM-based applications, including evaluation frameworks and guardrails.

Core Competencies:

• Engineering Mentality: Identifies common technical challenges and builds reusable platforms that make future model deployments faster and safer.

• Scientific Approach: Treats system designs as hypotheses, instruments performance, and adapts based on measurable evidence.

• Simplicity: Avoids unnecessary complexity and creates maintainable systems for future users and engineers.

• Ownership: Takes systems from design through deployment and monitoring, remaining accountable for their real-world performance and outcomes.

• Collaboration: Works effectively across data science, data engineering, software engineering, medical economics, clinical, and operations teams to establish clear interfaces and shared standards.

• Communication: Explains technical systems, costs, and business impact in clear terms that clinical and financial stakeholders can use.

Benefits

• Remote-first work environment, with the option of a hybrid arrangement in Nashville.

• Generous paid time off (PTO) and holiday plans.

• Paid parental leave and support for work-life balance, flexibility, and autonomy.

• Medical, dental, and vision insurance starting on Day 1.

• Life and disability insurance.

• Wellness resources and an employer HSA contribution.

• 401(k) retirement plan with employer matching contributions.

• Opportunity to contribute to meaningful healthcare initiatives and improve patient outcomes through technology.

• Inclusive and collaborative working environment that encourages honest feedback, diverse perspectives, and authenticity.

• Commitment to equitable compensation and employee well-being.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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