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Added 3 mins ago
Senior Electrical Engineer - Federal
Jacobs
Greenville, SC
As a Senior Electrical Engineer, you’ll lead design and perform calculations for lighting systems and associated controls, prepare load analysis for different stages of design, oversee the…
Added 3 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Columbia, SC
…copilot, and agentic systems, including secure access, data protection, identity, logging, content safety, and human-oversight controls. Evaluate AI services and integrations for threats…
Added 3 mins ago
Cybersecurity Engineer (Cloud)
Amentum
Columbia, SC
Implement and maintain security controls across Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services, including cloud guardrails, secure landing zones, workload…
Added 13 mins ago
Civil/Structural Engineer
Leidos
Denver, CO
…power substations and transmission and distribution lines; protection and controls design; and electrification programs. Utilities consistently come to Leidos for reliable power expertise,…
Added 13 mins ago
Electrical Engineer - Contract and Direct
Kiewit
Lone Tree, CO
…technical depth and practical, field‑ready thinking. If you want to engineer solutions that move communities forward and see your designs become tangible, high‑impact facilities, Kiewit is…
Added 14 mins ago
Cybersecurity Engineer (Cloud)
Amentum
Denver, CO
Implement and maintain security controls across Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services, including cloud guardrails, secure landing zones, workload…
Added 14 mins ago
Senior Cybersecurity Architect (Cloud)
Amentum
Denver, CO
…copilot, and agentic systems, including secure access, data protection, identity, logging, content safety, and human-oversight controls. Evaluate AI services and integrations for threats…
Added 39 mins ago
Cyber Systems Security Engineering Prin - E6
Lockheed Martin
Virtual Two, MD · MD
The Cyber Systems Security Engineer Principal will serve as the senior cybersecurity technical authority for the UAE Cybersecurity Center of Excellence. The role will define and govern…
Added 1 hour ago
Traction Inverter Power Stage Gate Drive & Power Electronics PCB Lead Engineer
General Motors
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The engineer will lead complex, high-visibility work across Product Engineering, Systems Engineering, Controls and Software, EMC, Reliability, Manufacturing, Quality, Purchasing, Program…
Added 1 hour ago
J
Corporate Vice President - Google Cloud Lead Engineer (GCP)
Jobgether
Remote, United States
- $133,000 to $190,000 USD / year
…looking for a Corporate Vice President – Google Cloud Lead Engineer (GCP) based in the United…
Added 2 hours ago
J
Senior Data Engineer, Data Analytics
Jobgether
Remote, United States
- $175,000 to $274,000 USD / year
…all applications and next steps. Our partner is looking for a Senior Data Engineer, Data Analytics based in the United…
Added 4 hours 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 hours ago
Civil/Structural Engineer
Leidos
Framingham, MA
…power substations and transmission and distribution lines; protection and controls design; and electrification programs. Utilities consistently come to Leidos for reliable power expertise,…
Added 4 hours ago
C
Cybersecurity Engineer
CBRE
Boston, MA
- $95,000 to $100,000 USD / year
…focus on Secrets Management. Working under the direction of senior engineers and product leadership, this individual implements, integrates, and maintains enterprise secrets management…
Added 4 hours 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 4 hours ago
MM
Operations Specialist
MP Materials Corp.
Mountain Pass, CA
- $38.08 USD / hour
The Senior Project Engineer will be a member of our Mountain Pass, CA mine business. This role supports the planning, coordination, and execution of capital projects to ensure they are…
Added 5 hours ago
J
Electrical Engineer II
Jobgether
Remote, United States
- $83,000 to $104,125 USD / year
As an Electrical Engineer II, you will contribute to the design and development of electrical systems for hyperscale data centers and other mission-critical facilities. Working alongside…
Added 6 hours ago
Senior Data Platform 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 Senior Data Platform Engineer based in the United States.
Added 6 hours ago
Senior Director, Engineering
Scout Clean Energy
Boulder, CO
As Senior Director, Engineering, you will lead Scout's Engineering organization within the Technical Services department, and be responsible for the execution, management, and continuous…
Added 6 hours ago
Lead ML/AI Engineer
Jobgether
Remote, United States
…that operate under strict protected health information (PHI) controls. You will define technical standards for decisioning, streaming, MLOps, and generative AI applications while remaining…
Added 7 hours ago
Senior Product Manager, Identity
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 Senior Product Manager, Identity based in the United States.
Added 7 hours ago
Senior Systems Security Engineer
Trinzic
Beavercreek, OH
Develop and lead execution of the ABMS Program Protection Plan (PPP) and its appendices, including Anti-Tamper/CSS, which details critical program technologies and information which must be…
Added 8 hours ago
UG
Senior Information Security Engineer
UnitedHealth Group
Plymouth, MN
- $91,700 to $163,700 USD / year
As a Senior Information Security Engineer on our Security Operations Engineering team, you will play a critical role in designing, deploying, and maintaining enterprise web application…
Added 8 hours ago
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Senior DevSecOps Engineer - Velocity Platform
Nelnet
Lincoln, NE
- $120,000 to $158,000 USD / year
We are looking for a Senior DevSecOps Engineer to own the infrastructure, deployment automation, and security posture of Velocity, Nelnet's cloud-native loan servicing platform and the…
Added 9 hours ago
A
Protection and Controls - Substations - Electrical Engineer - Remote (U.S.)
AECOM
Houston, TX
- $110,000 to $160,000 USD / year
AECOM has a position opening for a Protection and Controls Engineer to support our growing Energy Business Line’s Engineering Center of Excellence in our Grid Modernization programs,…

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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