Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added just now
Ruby Developer - Project Software Engineer III
Deloitte
Jersey City, NJ
As a Project - Software Engineer III on the Engineering as a Service team, you will be responsible for:
Added just now
Senior Lead Software Engineer
JPMorgan Chase
Jersey City, NJ
As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you are an integral part of an agile team that works to enhance,…
Added just now
Senior Lead Software Engineer
JPMorgan Chase
Jersey City, NJ
As a Senior Lead Software Engineer at JPMorgan Chase within the Chief Technology Office's Engineering Services & Platforms organizations, you will utilize your extensive engineering…
Added just now
B&
Cloud Backend Engineer
Bucher & Christian Consulting Inc.
Jersey City, NJ
- $75 to $80 USD / hour
Hands-on experience delivering system design, application development, testing, and operations in AWS.
Added just now
Lead Infrastructure Engineer - Powering Identity & Access Management at Scale
JPMorgan Chase
Jersey City, NJ
As a Lead Infrastructure Engineer at JPMorganChase within the CTO/IAM, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering…
Added just now
Senior Lead Software Engineer
JPMorgan Chase
Jersey City, NJ
As a Senior Lead Software Engineer at JPMorgan Chase within the Chief Technology Office's Engineering Services & Platforms organizations, you will utilize your extensive engineering…
Added just now
Agentic AI Engineer, Senior
Deloitte
Morristown, NJ
Experience with MLOps / AIOps (monitoring, governance, lifecycle), CI/CD pipelines, and cloud-native application development
Added just now
Lead Forward Deployed Engineer, ServiceNow
Deloitte
Jersey City, NJ · Morristown, NJ
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.
Added just now
Senior Forward Deployed Engineer, ServiceNow
Deloitte
Jersey City, NJ · Morristown, NJ
…practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one.…
Added just now
Forward Deployed Engineer- ServiceNow
Deloitte
Morristown, NJ
…practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one.…
Added just now
UG
Associate Full Stack Software Engineer
UnitedHealth Group
Eden Prairie, MN
- $60,200 to $107,400 USD / year
As an Associate Software Engineer within our technology organization, you will contribute to modernizing key platform architectures by developing scalable microservices, API-driven…
Added just now
A
Temenos QA Lead - 6519366
Accenture
Morristown, NJ
- $70 to $80 USD / hour
Analyze test results to identify patterns and potential areas for improvement in the software development lifecycle.
Added just now
Senior Full Stack Engineer - NBA
Humana
Trenton, NJ
Familiarity with containerized application deployment, CI/CD pipelines, and cloud-native application development.
Added just now
Sr. Application Security Engineer
American Express Global Business Travel
Trenton, NJ
We are seeking an experienced Senior Application Security Engineer to join our team in the corporate travel industry. This remote position requires a unique blend of application development…
Added just now
Senior Decision Intelligence Engineer
Humana
Trenton, NJ
The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA…
Added just now
Staff Structural Engineer
CORP-Corporate Office
United States
We are looking for you to join our team as a Staff Structural Engineer based out of Linthicum, MD.
Added just now
Sr Principal Engineer Electronics
CORP-Corporate Office
United States
Coordinate between several internal and external stakeholder groups (Software Development, System Test, Cyber Operations, Procurement, etc.) to achieve contractual commitments
Added just now
Staff Engineer Mechanical
CORP-Corporate Office
United States
Coordinate between several internal and external stakeholder groups (Software Development, System Test, Cyber Operations, Procurement, etc.) to achieve contractual commitments
Added just now
Principal or Sr Principal Electronics Engineer
CORP-Corporate Office
United States
The Principal or Senior Principal Electronics Engineer demands a combination of hardware and software expertise, practical experience with DC, analog, digital, or RF test and measurement…
Added just now
Sentinel - Principal Systems Safety Engineer - 17339 - 17585
CORP-Corporate Office
United States
The candidate will have extensive expertise in the application of MIL-STD-882E, DO178, DO254, software development, design development, or similar systems engineering experience
Added just now
Electronics Engineer/ Principal Electronics Engineer – Supplier Management Team
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for Electronics Engineer/ Principal Electronics Engineer – Supplier Management Team to join the team of qualified individuals on our…
Added just now
Sentinel - Systems / Principal Systems Safety Engineer - 17900*
CORP-Corporate Office
United States
The Sentinel program has an exciting opportunity for a Systems/ Principal Systems Safety Engineer to join the team supporting activities including use case development, requirements…
Added just now
Staff Flight Test Systems Engineer
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Staff Flight Test Systems Engineer to join our team of qualified, diverse individuals within our Test and Evaluation organization.
Added just now
Sr Principal Flight Test Systems Engineer
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for a Sr Principal Flight Test Systems Engineer to join our team of qualified, diverse individuals within our Test and Evaluation…
Added just now
Industrial Engineer / Principal Industrial Engineer
CORP-Corporate Office
United States
Northrop Grumman Aeronautics Systems has an opening for an Industrial Engineer (Level 2) or a Principal Industrial Engineer (Level 3) to join our team of qualified, diverse individuals in…

Accuity

AI Engineer

United States

Remote

Apply About employer

Applications open in a new tab.

Job details

Workplace: Remote
Experience: 5+ years of experience in software, AI/ML, or platform engineering, including ownership of production systems.
Posting language: English
Posted: Oct 29, 2026

Original job description

AI Engineer

Department: Technology

Location: Remote

FLSA Status: Exempt

People Leader: No

Travel: Less than 10%

Summary

Company Summary

Accuity partners with hospitals and health systems through a technology-enabled, physician-led model that improves clinical documentation integrity, coding accuracy, reimbursement optimization, and quality outcomes.

Job Summary

The AI Engineer develops and operates the AI systems that support automation across Accuity’s clinical documentation and revenue cycle workflows. Reporting to the Vice President, Data Science and AI, this role builds production services using large language models, intelligent agents, retrieval systems, knowledge graphs, and traditional machine learning.

The AI Engineer owns the technical systems that allow applications to use AI reliably and securely. This includes model integration and adaptation, agent orchestration, retrieval-augmented generation, vector and graph-based knowledge systems, Model Context Protocol services, evaluation pipelines, deployment automation, observability, and production support.

The role works across proprietary and open-source models and selects the appropriate approach for each problem. Depending on the use case, this may involve prompt and context engineering, retrieval, fine-tuning, tool integration, classical machine learning, or a combination of these methods.

The AI Engineer partners with Data Science to move validated approaches into production, Platform Management to use approved infrastructure and delivery pipelines, Data Architecture to access governed data, and application engineering teams to deliver AI capabilities through stable and reusable services.

Success in this role is measured by the reliability, security, maintainability, and measurable workflow impact of the AI systems delivered across the Accuity ecosystem.

Responsibilities

AI and Agent Engineering

Build and maintain production systems using large language models, machine learning models, and intelligent agents.
Develop agent workflows that use tools, retrieval, structured outputs, state, and human approval controls.
Select and adapt models through prompting, retrieval, fine-tuning, or other appropriate techniques.
Integrate AI systems with internal applications, data sources, APIs, and approved external services.
Build reusable AI services with clear, stable interfaces for application teams.

Retrieval and Knowledge Systems

Develop retrieval-augmented generation systems using approved enterprise content and data.
Build and maintain document ingestion, embedding, indexing, search, reranking, and citation pipelines.
Implement vector databases, hybrid search, knowledge graphs, and graph-based retrieval where appropriate.
Maintain data provenance, access controls, and processes for keeping indexed information current.
Measure retrieval quality and correct missing, outdated, duplicated, or irrelevant results.

Model Context Protocol and Tool Integration

Build and maintain Model Context Protocol servers, clients, tools, and resources.
Define secure tool interfaces with clear schemas, permissions, validation, and failure handling.
Connect agents to approved applications, databases, APIs, and business systems.
Apply authentication, authorization, audit logging, and least-privilege access to agent tools.
Develop reusable integrations that can support multiple AI applications.

AI and Machine Learning Operations

Deploy and operate LLMs, agents, retrieval services, and machine learning models in production.
Maintain automated pipelines for testing, versioning, deployment, promotion, retraining, and rollback.
Track versions and lineage across models, prompts, tools, datasets, indexes, and configurations.
Implement monitoring for quality, reliability, latency, usage, and cost.
Investigate production failures and implement lasting corrective actions.

Evaluation, Quality and Security

Build automated evaluation and regression testing for models, prompts, agents, retrieval systems, and tools.
Work with Data Science to convert evaluation methods and production thresholds into release controls.
Test systems against representative, unusual, adversarial, and high-risk scenarios.
Implement safeguards against prompt injection, data leakage, unauthorized tool use, and unsafe outputs.
Ensure AI systems comply with HIPAA, HITRUST, PHI protection requirements, and Accuity policy.
Preserve human review, decision traceability, and audit logging where clinical or coding judgment is involved.

Collaboration and System Ownership

Partner with Data Science to move validated AI approaches into production.
Partner with Platform Management and Data Architecture on infrastructure, deployment, data access, and governance.
Partner with application teams to deliver AI capabilities through reliable and documented services.
Assume ownership of systems delivered by internal teams or external development partners.
Write clean, secure, version-controlled code and maintain documentation that another engineer can use to operate the system.
Communicate system behavior, limitations, risks, and tradeoffs clearly to technical, clinical, and business audiences.

Other Duties as Assigned

Perform additional responsibilities as needed to support data science, technology, and organizational goals.

Qualifications

Education and Credentials

Master’s degree in computer science, artificial intelligence, machine learning, or a related technical field, or equivalent practical experience, required.
PhD degree in computer science, artificial intelligence, machine learning, or a related field preferred.

Experience

Required Experience

5+ years of experience in software, AI/ML, or platform engineering, including ownership of production systems.
Hands-on experience developing and operating LLM applications, AI agents, and retrieval-augmented generation (RAG) solutions.
Strong Python proficiency, including experience with AI/ML libraries, vector search, tool integration, and human-in-the-loop workflows.
Experience deploying and maintaining AI/ML systems using automated testing, evaluation, CI/CD, monitoring, and production controls.
Experience implementing AI observability, explainability, security, and governance practices.

Preferred Experience

Experience with Azure AI Foundry, Azure ML, Databricks, vector databases, or comparable AI platforms.
Familiarity with knowledge graphs, agent orchestration, Model Context Protocol (MCP), or model fine-tuning.
Healthcare data experience, particularly clinical coding, CDI, claims, or revenue cycle; experience taking ownership of externally developed systems preferred.

Core Competencies

AI Systems Engineering: Understands how models, agents, tools, retrieval, knowledge systems, and application services work together in production.
Language Model Engineering: Selects, adapts, evaluates, deploys, and maintains language models based on measurable requirements.
Agent Engineering: Builds controlled, observable agents that use tools safely and complete defined tasks reliably.
Retrieval Engineering: Designs retrieval systems that return relevant, current, authorized, and traceable information.
Knowledge Representation: Models entities and relationships in ways that improve retrieval, reasoning, and system interoperability.
Production Ownership: Treats deployment, monitoring, support, documentation, and recovery as part of engineering the system.
Evaluation Discipline: Uses repeatable evidence to determine whether changes improve or degrade system performance.
Reliability: Anticipates failure, implements recovery behavior, and resolves the underlying causes of production problems.
Security and Compliance: Treats data protection, access control, traceability, and approved routing as core architecture requirements.
Technical Judgment: Selects an architecture based on the problem, operating constraints, and measurable value.
Reusability: Builds shared services and patterns that reduce duplicate work across AI initiatives.
Communication: Explains system behavior, limitations, risk, and tradeoffs clearly.
Collaboration: Works effectively across data science, platform, data architecture, application engineering, clinical, and external partner teams.
Adaptability: Evaluates new AI methods and tools without introducing them before their value, reliability, and risks are understood.
Remote Work Effectiveness: Communicates proactively, documents decisions, and maintains visibility into work in a fully remote organization.

Additional Requirements

Physical Requirements: The requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job with or without reasonable accommodations. Unless otherwise indicated, Accuity positions require interaction with people and technology while either sitting or standing. Employees must be able to communicate via phone, email, etc. and sit for extended periods of time, with or without reasonable accommodations. Physical effort and exposure to physical risk are limited to that of an office role / environment.
Position and Employment Statement: While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add or remove duties from a job and to assign other duties as necessary and at any time. All positions at Accuity Delivery Systems, LLC, are at-will employment, and a position description is not a guarantee of a job or of job responsibilities.

While this job description is intended to be an accurate reflection of the job requirements, management reserves the right to modify, add or remove duties from a job and to assign other duties as necessary and at any time. All positions at Accuity are at-will employment, and a position description is not a guarantee of a job or of job responsibilities.

Apply About employer

More about this job

Skills

Documentation
Machine learning
Workflow
Collaboration
Computer science
Artificial intelligence
ML
Python
Test automation
CI/CD
Microsoft Azure
Databricks
Clinical coding
Regulatory compliance
Data protection
Architecture regulations
Communication skills
Adaptability

Report this job