Jobs in the United States

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Added 1 min ago
Senior Autonomy Validation Engineer
Green Valley, AZ
The Senior Automation Validation Engineer position develops, tests, and troubleshoots autonomy software systems used for autonomous machines. This generally includes onboard system…
Added 2 mins ago
Start-up Field Engineer - North Slope, AK - Rotational
NANA Worley
Remote, United States
As such, the position is based in North Slope Alaska with a 12-hour shift, 2-week rotational schedule
Added 3 mins ago
AC
Staff Software Engineer - Vehicle & Hardware Security
ATOMS Careers page
San Francisco, CA
- $224,000 to $284,000 USD / year
As a Staff Software Engineer focused on Vehicle & Hardware Security, you’ll own the security of the systems that make our vehicles operate safely, from in-vehicle networks and ECU firmware…
Added 3 mins ago
AC
Senior Software Engineer - Infrastructure Security Platform
ATOMS Careers page
Seattle, WA
- $167,000 to $230,000 USD / year
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less…
Added 6 mins ago
Senior AI & Automation Engineer
AustralianSuper
NY
Reporting to the Senior Manager Technology, Americas, the Senior AI & Automation Engineer (Agentic) is a senior hands-on technical specialist responsible for designing, developing,…
Added 6 mins ago
A
Staff Software Engineer - Vehicle & Hardware Security
Atoms
San Francisco, CA
- $224,000 to $284,000 USD / year
As a Staff Software Engineer focused on Vehicle & Hardware Security, you’ll own the security of the systems that make our vehicles operate safely, from in-vehicle networks and ECU firmware…
Added 6 mins ago
A
Senior Software Engineer - Infrastructure Security Platform
Atoms
Seattle, WA
- $167,000 to $230,000 USD / year
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less…
Added 8 mins ago
Senior Quality Assurance Engineer
PrePass
Phoenix, AZ
We're looking for a Senior Quality Assurance Engineer to drive software quality, strengthen test automation, and improve testing practices throughout the software development lifecycle. In…
Added 8 mins ago
Software Engineer - Limited Tenure - Hybrid
Mayo US
Rochester, MN
Mayo Clinic is seeking a Software Engineer to design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage…
Added 9 mins ago
6624 - CQV Engineer
Verista, Inc.
Portland, ME · Fishers, IN
…test scripts, and summary reports) for new equipment, systems, software, and processes introduced for NPI projects, as directed by the project…
Added 10 mins ago
C
Senior DevOps Engineer
Cognizant
Brookfield, WI
- $62,500 to $112,000 USD / year
We are seeking a highly skilled Senior DevOps Engineer to join our team supporting U.S.Bancorp. The ideal candidate will have deep expertise in cloud platforms, CI/CD automation,…
Added 11 mins ago
Sr Software Engineer (C#,.NET)
Milwaukee Tool
Menomonee Falls, WI
The Sr. Software Engineer will work as a member of the METi Platform team that is responsible for building and evolving the enterprise integration platform and reusable capabilities that…
Added 11 mins ago
Business Security Consultant (CNAPP)
EY
Madison, WI
Must possess excellent communication, presentation, and collaboration skills
Added 11 mins ago
Client Technology - Senior Software Engineering with AI Capabilities
EY
Madison, WI
Develops strong working relationships with peers across Development & Engineering and Architecture teams, collaborating to develop and engineer leading solutions
Added 12 mins ago
Senior Software Engineer
Evolent
Madison, WI
Identify and implement improvements to the software development lifecycle, including automation, testing, and CI/CD pipelines.
Added 12 mins ago
Senior Manager, Knowledge & Context Architecture
Teradata
Madison, WI
Our mission is to design the knowledge an enterprise runs on, engineer the context its AI agents need, and prove that context can be trusted. This helps make Teradata's vision for an…
Added 13 mins ago
Applied AI Health System Engineer [Health Services-Provider] – Senior Manager
PwC
Milwaukee, WI
What You Must Have
Added 13 mins ago
Senior Infrastructure Software Engineer
Peraton
Chantilly, VA
Peraton is seeking a poly cleared Senior Infrastructure Software Engineer to join our team supporting advanced R&D efforts in Chantilly, VA. In this role you’ll develop and maintain…
Added 14 mins ago
Software Engineer - Limited Tenure - Hybrid
Mayo Clinic
Rochester, MN · Rochester
Mayo Clinic is seeking a Software Engineer to design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage…
Added 14 mins ago
Site Reliability Engineer (G-Project)
Foxconn Industrial Internet - FII
Houston, TX
We are seeking a skilled and dedicated Site Reliability Engineer to join our IT team. This role is crucial for ensuring that software systems and applications are reliable, scalable, and…
Added 17 mins ago
UG
Senior Site Reliability Engineer
UnitedHealth Group
Schaumburg, IL
- $91,700 to $163,700 USD / year
Develop and maintain Infrastructure as Code (IaC) solutions using Terraform and cloud automation technologies
Added 17 mins ago
Software Engineer
Parsons Technical Services, Inc.
NM
Must have an active DoD Secret clearance or be able to obtain one
Added 17 mins ago
Software Engineer
Parsons Technical Services, Inc.
NM
Must have an active DoD Secret clearance or be able to obtain one
Added 18 mins ago
Director, Data Solutions
Ascensus LLC
Remote, United States
Process Efficiency & Automation: Automate the manual, repetitive reporting and data preparation work that consumes capacity today. Track cycle time and manual touchpoints on recurring…
Added 20 mins ago
T
GCP Cloud Engineer
TEKsystems
Marshall, MI
- $65 USD / hour
We are looking for an experienced GCP Cloud engineer with strong technical expertise in GCP, CI/CD pipelines, infrastructure automation, and cloud platforms, along with excellent…

Closed listing

Lifetime Workforce Solutions, LLC

AI Engineer

United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Education: Bachelor’s degree
Posting language: English
Posted: Nov 11, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Description:

Summary The AI Engineer is part of a highly collaborative team that develops cutting-edge machine learning (ML) and artificial intelligence (AI) models to solve complex business challenges and improve member health outcomes. In this role, you will work on high-impact projects involving advanced ML techniques, including large language models (LLMs) and generative AI. You’ll have the opportunity to experiment with state-of-the-art algorithms, push the boundaries of AI capabilities, and contribute to innovative solutions that drive real-world value.

Essential Accountabilities Level I

Develops Artificial Intelligence and Machine Learning solutions to solve business problems and improve member health outcomes, incorporating (but not limited to): Large language models (LLMs) and generative AI applications, machine learning models, natural language processing (NLP), optimization and mathematical programming and recommendation systems.
Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient and scalable data handling.
Collaborates with data engineering teams to acquire, clean, and prepare data for model training.
Supports model evaluation, testing, and performance monitoring in pre-production environments.
Works within cloud-based ML platforms (e.g., Databricks) to develop and optimize AI models.
Understands ML Operations principles and collaborates with CI/CD and ML Operations engineers for model deployment and monitoring.
Participates in peer code reviews and follows best practices for software development in AI.
Stays up to date with industry trends and new developments in AI/ML.
Develops and refines prompt engineering techniques for optimizing interactions with LLMs and generative AI applications.
Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies’ mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.
Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.
Regular and reliable attendance is expected and required.
Performs other functions as assigned by management.

Level II (in addition to Level I accountabilities):

Contributes to the AI/ML model lifecycle, ensuring reproducibility, scalability, and maintainability of solutions.
Works with stakeholders to translate business objectives into AI/ML formulations and measurable success criteria.
Optimizes and fine-tunes ML models for performance, explainability, and efficiency.
Develops solutions using large language models (LLMs) and generative AI frameworks.
Supports the integration of AI models with enterprise applications, APIs, or data pipelines.
Engages in continuous learning and shares knowledge on new ML techniques and best practices.
Enhances team efficiency through the adoption of automation tools for model training, evaluation, and monitoring.

Level III (in addition to Level II accountabilities):

Leads the discovery and solutioning process, working with company stakeholders to identify high-impact AI opportunities.
Designs and implements scalable AI architectures that integrate with enterprise systems and support business operations.
Leads initiatives related to large language models (LLMs) and generative AI, ensuring alignment with business needs.
Mentors junior team members and fosters a culture of engineering excellence.
Collaborates with Operations and CI/CD teams to improve AI model deployment pipelines and monitoring strategies.
Recommends and influences best practices for AI model governance, versioning, and compliance.
Engages with leadership and cross-functional teams to align AI strategies with business goals.

Minimum Qualifications:

NOTE: We include multiple levels of classification differentiated by demonstrated knowledge, skills, and the ability to manage increasingly independent and/or complex assignments, broader responsibility, additional decision making, and in some cases, becoming a resource to others. In addition to using this differentiated approach to place new hires, it also provides guideposts for employee development and promotional opportunities.

Level I:

Bachelor's degree required; in lieu of a degree, six (6) years of relevant experience required.
Prior professional, co-op, or internship experience developing AI/ML solutions, or relevant coursework.
Basic understanding of fundamental ML concepts, algorithms, and statistical techniques.
Basic experience working with databases, SQL, and data manipulation.
Strong problem-solving skills and a willingness to learn.

Level II (in addition to Level I qualifications):

Hands-on professional experience developing ML models for real-world applications.
Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ML).
Intermediate knowledge of model performance monitoring and optimization techniques.
Experience working with large-scale data pipelines and distributed computing frameworks (e.g., Spark).
Familiarity with CI/CD and ML Ops/ LLM Ops principles to collaborate effectively with deployment teams.
Experience working with large language models (LLMs) and generative AI technologies.
Ability to present clear and concise technical concepts to both technical and non-technical stakeholders.

Level III (in addition to Level II qualifications):

Significant professional experience and knowledge in AI/ML engineering with a track record of developing models at scale.
Advanced proficiency in AI/ML model architecture, optimization, and explainability techniques.
Advanced experience integrating AI solutions with business applications and APIs.
Extensive experience working with large language models (LLMs) and generative AI in production environments.
Advanced understanding of AI model lifecycle management, governance, and operationalization.
Leadership experience in mentoring and guiding AI engineering best practices.
Strong ability to engage with executives and business leaders to drive AI strategy.

Physical Requirements:

Ability to orally communicate.
Must be able to travel across the enterprise.
Ability to work in a home office for continuous periods of time for business continuity.

************

In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s):

Level I Min - 65,346 Max - 117,622 Level II Min - 79,068 Max - 142,322

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position’s minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

About employer

More about this job

Skills

ML
Data engineering
Normalise data
Databricks
CI/CD
Software development
Regulatory compliance
Decision making
SQL
Problem solving
AWS
Microsoft Azure
Distributed computing
Develop models
Leadership
Coaching

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Jobs in the United States