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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 just now
PN
Data Scientist 3
Pacific Northwest National Laboratory
Pierre, SD
- $140,200 USD / year
PNNL’s Environmental Subsurface Science Group is seeking a mid-level scientist or engineer with expertise developing PFLOTRAN to lead and contribute to projects modeling subsurface reactive…
Added just now
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Pierre, SD
The Senior Azure Engineer will independently lead complex technical workstreams, make sound implementation decisions, troubleshoot difficult production issues, contribute to architecture…
Added just now
Senior Cybersecurity Architect (Cloud)
Amentum
Pierre, SD
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added 4 mins ago
Senior Electrical Engineer
Bristol Myers Squibb
Devens, MA
The Senior Electrical Engineer, Site Infrastructure serves as a technical owner and subject-matter expert for the site's critical electrical infrastructure. This individual will own and…
Added 4 mins ago
AS
Senior Project Engineer I/II
Agile Space Industries
Durango
- $112,000 to $175,000 USD / year
Agile Space Industries is seeking an experienced Project Engineer to drive technical execution across multidisciplinary teams developing spaceflight pressure vessels, propellant tanks, and…
Added 4 mins ago
Principal Algorithm Engineer – Imaging / Ultrasound (ML)
Medtronic
Newton, MA
We anticipate the application window for this opening will close on - 16 Nov 2026
Added 4 mins ago
Associate Data & AI Engineer - Medical Imaging (Bedford, MA)
Philips
Bedford, MA
We are seeking a highly motivated Data & AI Engineer to curate, annotate and leverage medical imaging datasets to enable algorithm and model development in support of Philips’ imaging…
Added 4 mins ago
Software Engineer Co-op (January 2027)
RTX Corporation
marlborough, MA
The Software organization develops software applications, including integration and test on missiles, launchers, radars, naval systems, fire control and other complex systems. Our precision…
Added 4 mins ago
FM
Sr. Principal Integration Engineer - Cloud Solutions
Fresenius Medical Care
Waltham, MA
- $137,000 to $229,000 USD / year
The Principal Azure Cloud Solutions Engineer serves as a senior technical authority responsible for designing, implementing, and improving secure, scalable, and resilient solutions on…
Added 4 mins ago
FM
Cybersecurity Architect
Fresenius Medical Care
Waltham, MA
- $137,000 to $229,000 USD / year
Ability to work in a group development environment as an application security engineer across software engineer, QA engineer and build/test/release engineer teams.
Added 5 mins ago
Software Engineer (Secret) (4611)
SMX
Boston, MA
…Responsible for software design, development, engineering, integration, and architecture. Will support onboarding new cloud-enabled applications and support deployment activities, primarily…
Added 5 mins ago
Cloud Systems Engineer (Secret) (4496)
SMX
Boston, MA
Knowledge/experience with integration of Software with IBM Maximo Application Suite (MAS) Architecture, IBM WebSphere, and Red Hat OpenShift on Azure
Added 5 mins ago
Lead Solution Architect with AI Experience
Deloitte
Boston, MA
Guiding engineering teams through solution design, Amazon Bedrock integration, Anthropic Claude implementation, application programming interface strategy, security controls, and production…
Added 5 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 5 mins ago
Sr. Machine Learning Engineer (Remote)
CrowdStrike
Boston, MA
CrowdStrike is looking for a Sr. Machine Learning Engineer to join our growing AIDR Engineering Team. You will provide engineering support and solutions to a data science group focused on…
Added 5 mins ago
Operations Reliability Engineer
Amazon
Boston, MA
Amazon is seeking an Operations Reliability Engineer to support the Amazon Logistics North America (AMZL NA) Engineering team, part of Amazon's Last Mile organization. The Last Mile team…
Added 5 mins ago
PN
Data Scientist 3
Pacific Northwest National Laboratory
Boston, MA
- $140,200 USD / year
PNNL’s Environmental Subsurface Science Group is seeking a mid-level scientist or engineer with expertise developing PFLOTRAN to lead and contribute to projects modeling subsurface reactive…
Added 5 mins ago
Senior Azure Infrastructure Engineer (Remote: US & Canada)
Cytel
Cambridge, MA · Boston, MA
The Senior Azure Engineer will independently lead complex technical workstreams, make sound implementation decisions, troubleshoot difficult production issues, contribute to architecture…
Added 5 mins ago
C
Cybersecurity Engineer
CBRE
Boston, MA
- $95,000 to $100,000 USD / year
Support integration of secrets management into CI/CD pipelines, container platforms (e.g., Kubernetes), and DevSecOps toolchains to enable secure application delivery.
Added 5 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Boston, MA
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added 5 mins ago
Senior Principal Development Engineer - Sustainable Infrastructure (Remote)
Johnson Controls Inc.
United States
…automation systems, security, fire systems, building–wide system integration, services, finance, etc.) and is able to apply these technologies and services to in a cost effective solution…
Added 10 mins ago
Fullstack Software Engineer (Frontend Focused)
Jobgether
Remote, United States
…next steps. Our partner is looking for a Fullstack Software Engineer (Frontend Focused) based in the United…
Added 45 mins ago
J
ICT Engineer III
Jobgether
Remote, United States
- $104,738 to $130,502.05 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an ICT Engineer III based in the United States.
Added 45 mins ago
J
Big Data Architect IT Consultant Master
Jobgether
Remote, United States
- $75 to $80 USD / hour
…Databricks, Microsoft Azure, Data Lake, Synapse, and enterprise data integration tools. The platform will connect diverse systems and enable secure, reliable access to structured and…

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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