Jobs in the United States

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Added 14 mins ago
Software Engineer II, Fintech
Twitch
San Francisco, CA
AWS certification (e.g., Solutions Architect, Developer, DevOps Engineer, Machine Learning Engineer, or AI Practitioner)
Added 23 mins ago
Junior AI/ML Engineer
Node.Digital
Remote, United States
…with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for…
Added 23 mins ago
Intelligent Automation/AI-ML Engineer
Node.Digital
Remote, United States
The engineer also explores new ways to embed artificial intelligence and machine learning into automations to support continuous improvement, learning and augmented decision making, and…
Added 23 mins ago
Intelligent Automation/AI-ML Engineer (Full Stack Engineer)
Node.Digital
Remote, United States
The engineer will also explore new ways to embed artificial intelligence and machine learning into applications, supporting continuous improvement, learning, and augmented decision making.…
Added 23 mins ago
Senior Data Engineer
Node.Digital
Remote, United States
Must have an Public Trust Clearance
Added 26 mins ago
AG
Senior Vice President of Technology - Data Analytics and Population Health Consulting
Alera Group
UNAVAILABLE
- $225,000 to $250,000 USD / year
…the VP of Analytics and Data Enablement, Senior Data and AI Engineer and provide executive leadership for the broader technology team, establishing shared priorities and accountability…
Added 59 mins ago
Maintenance Mechanical Engineer
SK Battery America
Commerce, GA
The Maintenance Engineer position is responsible for the design and execution of industrial and manufacturing engineering projects, policies, processes, methods, and procedures intending to…
Added 1 hour ago
T
Value Engineering Manager
Tanium
Remote, United States
- $126,000 to $193,000 USD / year
…sales professionals. If you have experience working as a Value Engineer with a track record of successfully partnering with account teams, we would love to hear from…
Added 1 hour ago
Machine Learning Engineer - Risk & AI
OKX
San Jose, CA
We’re looking for a Machine Learning Engineer to build models and AI tools that help detect fraud and protect users at a global crypto exchange. You’ll apply deep learning and XGBoost,…
Added 1 hour ago
Director, AI Security
Johnson & Johnson Services Inc. Legal Entity
Remote, United States
…will validate AI control effectiveness through adversarial testing, work closely with the IAM team on agentic identity, and partner with Vulnerability Management and Application Security…
Added 2 hours ago
Mechanical Design Engineer II
Panasonic
De Soto, KS
Do you want to join a team that's changing the world? Do you have a strong background as a Mechanical Design Engineer II? Then we're looking for you! Check out the job description and apply…
Added 2 hours ago
Equipment Engineer 2
Kasai North America, Inc
Manchester, TN
Recommend design modifications to eliminate machine or system malfunctions
Added 2 hours ago
Equipment Engineer, MTC Clean
Micron Technology
Boise
Micron Technology is seeking an Equipment Support Clean Equipment Engineer to support advanced photomask manufacturing within the Mask Technology Center (MTC). This hands-on equipment…
Added 2 hours ago
AI Engineer – Generative AI & Agentic AI
KData Inc.
United States
The AI Engineer works closely with AI Architects, software engineers, data
Added 2 hours ago
Machine Learning Ops, AI Engineer
Mission Underwriting Services
Remote, United States
Mission is seeking an MLOps and AI Infrastructure Engineer to build and operate production-grade infrastructure across our agentic AI platforms. This hands-on role sits at the intersection…
Added 2 hours ago
Principal II AI Platform Engineer, GenAI
Teladoc Health, Inc.
Remote, United States
We are seeking a Principal II Data & AI Platform Engineer to serve as one of the most senior hands-on technical leaders on our Data & AI Platform team. This role will architect, build, and…
Added 3 hours ago
Staff SW QA Engineer
Dexcom
Remote, United States
You have deep experience with software quality engineering across requirements, architecture, design, development, testing, release, and post-market activities.
Added 3 hours ago
MT
Senior Director, ITP AI Data Platform and Infrastructure
Micron Technology
San Jose
- $239,000 to $472,000 USD / year
AI Engineer Manager 4 - Machine Learning Engineer Manager 4
Added 3 hours ago
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
On-site, five days per week in San Francisco, California.
Added 3 hours ago
Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE)
NTT DATA Americas, Inc.
Charlotte
We are currently seeking a Senior AI Agent Engineer (Autonomous Remediation & DevSecOps / FTE) to join our team in Charlotte, North Carolina (US-NC), United States (US).
Added 3 hours ago
ZT
RF Engineer, Senior
Zebra Technologies Corporation
Holtsville, NY
- $96,800 to $145,200 USD / year
The ideal candidate must have deep low-level RF circuit design expertise · Must have Experience with Board level RF circuit design
Added 3 hours ago
Staff Software Engineer, Imitation Learning - Behavior Planning, Embodied AI
General Motors LLC
Remote, United States
…team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world…
Added 3 hours ago
Senior Mechanical Engineer, Space Hardware
IRPI
Wilsonville, OR
We are looking for a senior mechanical engineer to lead customer projects from scope to delivery, owning the mechanical design of subsystems from requirements through build and test. You…
Added 3 hours ago
Applied AI Health System Engineer [Health Services-Provider] – Senior Manager
PricewaterhouseCoopers Advisory Services LLC
NY · Raleigh, NC · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbia, SC · Columbus, OH · Dallas, TX · Baltimore, MD · Richmond, VA · Rochester, NY · Rosemont, IL · Boston, MA · St. Louis, MO · Salt Lake City, UT · San Antonio, TX · Seattle, WA · Spartanburg, SC · Stamford, CT · Tampa, FL · Atlanta, GA · Toledo, OH · Austin, TX · Tulsa, OK · Washington, DC · Denver, CO · Des Moines, IA · Detroit, MI · Buffalo, NY · Florham Park, NJ · Fort Worth, TX · Greensboro, NC · Hartford, CT · Houston, TX · Grand Rapids, MI · Jacksonville, FL · Kansas City, MO · Las Vegas, NV · Little Rock, AR · Louisville, KY · Birmingham, AL · Fayetteville, AR · Melville, NY · Miami, FL · Milwaukee, WI · Minneapolis, MN · Nashville, TN · New Orleans, LA · Oklahoma City, OK · Philadelphia, PA · Phoenix, AZ · Pittsburgh, PA · Portland, OR
What You Must Have
Added 3 hours ago
Software Development Engineer, US Amazon Dedicated Cloud Security
Amazon.com Services LLC
Herndon, VA
As a Software Development Engineer (SDE), you will be responsible for the development, operations, and overall health and security of the critical services we support, providing excellent…

Node.Digital

Intelligent Automation/AI-ML Engineer

Remote, United States

Apply on jobs.workable.com About employer

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Job details

Posting language: English
Posted: Oct 28, 2026

Original job description

Intelligent Automation/AI-ML Engineer Location: Herndon, VA (Hybrid Work) This position supports a U.S. Federal Government project. U.S. citizenship is required to meet the project’s eligibility and security clearance requirements. Experience: 3+ yrs & 5 yrs Role Summary The Intelligent Automation / AI-ML Engineer is the architect and guardian of intelligent automation solutions that incorporate AI/ML technologies, built on open-source AI models and the Model Context Protocol (MCP). The role ensures the operational efficiency and continuous refinement of integrated AI/ML solutions. Responsibility spans the design, maintenance and optimization of intelligent applications, as well as troubleshooting and resolving issues that arise after implementation. The engineer also explores new ways to embed artificial intelligence and machine learning into automations to support continuous improvement, learning and augmented decision making, and builds repeatable intelligent solutions and bots for document processing, data cleansing and similar use cases. The role owns token management and optimization, model usage, performance, retraining and MLOps.

Key Responsibilities

Solution Design and Development

Architect, design and build intelligent automation solutions that embed AI/ML capabilities using open-source models and MCP-based integrations.
Develop MCP servers and clients that securely connect models to enterprise tools, data sources and workflows.
Build repeatable, reusable intelligent solutions and bots for document processing (classification, extraction, summarization, validation) and data cleansing (deduplication, normalization, enrichment, anomaly detection).
Design agentic and human-in-the-loop workflows that support augmented decision making.
Create reusable components, templates and patterns that accelerate delivery across the organization.

Operations, Maintenance and Support

Maintain and optimize deployed AI/ML solutions for reliability, accuracy and operational efficiency.
Troubleshoot and resolve post-implementation issues, including model drift, integration failures, data quality problems and performance degradation.
Monitor production solutions, define SLAs/SLOs, and perform root-cause analysis and corrective action.
Maintain documentation, runbooks and knowledge base articles for supported solutions.

MLOps and Model Lifecycle Management

Implement and manage MLOps pipelines covering versioning, CI/CD, automated testing, deployment, monitoring and rollback.
Own model retraining strategy, including drift detection, data and label management, evaluation benchmarks and scheduled or triggered retraining.
Track experiments, datasets and model artifacts using tools such as MLflow, DVC or equivalent.
Evaluate, fine-tune and select open-source models, balancing accuracy, latency, cost and licensing.
Establish model governance, including auditability, reproducibility, bias and safety checks, and responsible AI practices.

Token Management, Optimization and Performance

Implement token management and usage controls, including budgets, quotas, rate limiting, caching and cost attribution by team or use case.
Optimize prompts, context windows, retrieval strategies and model routing to reduce token consumption and cost without sacrificing quality.
Monitor and tune model usage and performance: latency, throughput, GPU/CPU utilization, quantization, batching and inference serving.
Produce dashboards and reports on usage, cost, quality and ROI.

Innovation and Continuous Improvement

Explore and prototype new options for embedding AI/ML into automations to enable continuous improvement and learning.
Evaluate emerging open-source models, frameworks, MCP capabilities and automation platforms, and recommend adoption where valuable.
Partner with business stakeholders to identify automation opportunities, define success metrics and measure outcomes.

Security, Compliance and Collaboration

Apply security best practices for data privacy, access control, secrets management and prompt-injection and data-leakage mitigation.
Ensure solutions comply with organizational policies and relevant regulations.
Collaborate with data engineers, software engineers, security teams, business analysts and process owners.
Mentor team members and share best practices.

Required Qualifications

Bachelor's degree in Computer Science, Data Science, Engineering or a related field (or equivalent experience).
Experience in AI/ML engineering, intelligent automation or software engineering, with production deployments.
Strong Python skills and experience with ML/LLM frameworks such as PyTorch, Hugging Face Transformers, LangChain/LlamaIndex or similar.
Hands-on experience with open-source LLMs, including deployment and inference serving and fine-tuning techniques.
Practical experience with the Model Context Protocol (MCP) or comparable tool-integration and agent frameworks.
Experience building document processing solutions (OCR, NLP, information extraction) and data cleansing pipelines.
Working knowledge of MLOps practices and tools (CI/CD, containerization with Docker/Kubernetes, model registries, monitoring).
Experience with token usage tracking, cost optimization and performance tuning of LLM applications.
Familiarity with RAG architectures, vector databases and embeddings.
Strong troubleshooting, analytical and communication skills.

Preferred Qualifications

Experience with RPA or workflow platforms (e.g., UiPath, Automation Anywhere, Power Automate, n8n, Camunda).
Cloud experience (AWS, Azure or GCP), including GPU workloads and managed ML services.
Experience with orchestration tools (Airflow, Prefect, Kubeflow) and observability tools (Prometheus, Grafana, OpenTelemetry, LLM tracing tools).
Knowledge of model evaluation frameworks, guardrails and responsible AI.
Relevant certifications in cloud, ML or automation platforms.
Experience working in an Agile/DevOps environment.
Medical
Dental
Vision
Basic Life
Health Saving Account
401K Matching
Three weeks of PTO/Sick
11 Paid Holidays
Pre-Approved Online Training

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More about this job

Skills

ML
Troubleshooting
Artificial intelligence
Machine learning
Process improvement
Decision making
Troubleshoot
Root cause analysis
Documentation
CI/CD
Test automation
Mlflow
Regulatory compliance
Collaboration
Computer science
Python
PyTorch
Hugging Face
LangChain
Tuning techniques
OCR
Natural language processing
Information extraction
Docker
Kubernetes
Communication skills
Workflow
Microsoft Power Automate
AWS
Microsoft Azure
Google Cloud
Apache Airflow
Kubeflow
Prometheus
Grafana
Agile
DevOps

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Work requirements

Jobs in the United States