Ai-Enhanced Technology Jobs in USA

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Looking for Ai-Enhanced Technology jobs in USA? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the USA area.

Principal Data Engineer

Company: Nuna

Location: USA

Posted Dec 17, 2024

The text describes a role at Nunas Value Platform as a Principal Engineer, where you will build products to change the dynamics of the healthcare industry, create and refine architectural designs, and lead the design, implementation, and orchestration of data processing infrastructure. The role requires 10+ years of experience, experience with multiple healthcare data warehouse schemas, and expertise in scaling complex systems and data pipelines. The company offers health insurance, life insurance, retirement benefits, participation in the company's equity program, paid time off, and the expected salary range is $223,000 to $273,250.

Physician - Telemedicine

Company: Curai

Location: USA

Posted Dec 17, 2024

Curai Health is an AI-powered virtual clinic on a mission to improve access to care at scale. They are remote-first, with a corporate office in San Francisco, and are seeking US Physicians fully licensed to practice in the United States. The clinical team uses AI-empowered electronic records to deliver urgent and primary care. They are looking for Family Medicine or Emergency Medicine Physicians comfortable with adults and pediatrics, with active state licenses in CA, TX, and FL. The role involves seeing acute urgent care patients, administrative tasks, diagnosing patients, writing encounter visit notes, and providing feedback to the AIML in the EHR. They offer excellent medical benefits, a 401k plan with employer matching, and are a startup with a diverse and inclusive environment.

Senior Big Data Hadoop ML Engineer (GCP)

Company: Rackspace

Location: USA

Posted Dec 17, 2024

Rackspace Technology is seeking a Senior Big Data Engineer with extensive experience in the Apache Hadoop ecosystem to work remotely in the US. The role involves developing scalable and robust code for large-scale batch processing systems, working in Java, and contributing to Machine Learning pipelines. The position requires excellent communication skills, problem-solving abilities, and proficiency in GCP for big data processing and storage. The anticipated starting pay range varies by state.

Senior Product Operations Specialist

Company: Mercury

Location: USA

Posted Dec 17, 2024

Mercury is a financial technology company offering a complete financial stack for startups. They have grown to over 200,000 startups and small businesses worldwide. The Product Operations team plays a crucial role in enabling Mercury's product development and growth. The role of a Product Operations Specialist involves working closely with teams to gather and synthesize customer insights, ensure smooth product launches, and help scale the team. The total rewards package at Mercury includes base salary, equity, stock options, and benefits. The target new hire base salary ranges for this role are $112,900 - $132,800 for US employees in specific cities, and CAD 102,700 - $120,800 for Canadian employees.

Staff Software Engineer, AI Products

Company: Rad AI

Location: USA

Posted Dec 17, 2024

Rad AI, a healthcare AI company, has raised $80+ million in funding, closed on series B financing with Khosla Ventures, Gradient, Google's AI fund, and ARTIS. They have formed a partnership with Google to collaborate on generative AI for healthcare. Their AI is used by over 13% of radiology groups and healthcare systems, including Kaiser Permanente and HCA Healthcare. They are recognized as one of the most promising healthcare AI companies. They are looking for a Software Engineer to join their AI product team.

Technical Engineering Manager - Money Management

Company: The Motley Fool

Location: USA

Posted Dec 17, 2024

The Technical Engineering Manager for Money Management will play a pivotal role in driving the success of the Money Management business unit and its subdivisions through strategic use of technology. The role involves collaborating with stakeholders, developing a technical strategy, managing resources, ensuring regulatory compliance, and maintaining accurate records. The manager will also participate in product development, manage vendors, and oversee testing and quality assurance. The role requires fostering a culture of delivery, managing vendor relationships, coordinating with various Fool teams, providing updates to leadership, investigating opportunities for enhancement, conducting regular check-ins with direct reports, serving as a mentor, managing team resources, and driving professional development.

Director of Demand Generation

Company: interface.ai

Location: USA

Posted Dec 17, 2024

InterfaceAI is a leading AI provider for banks and credit unions, offering an integrated AI platform for a unified banking experience. Their mission is to transform the banking experience with hyperpersonalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth. They offer pretrained domain-specific AI solutions and are seeking a Demand Generation Manager to develop and execute multichannel demand generation strategies.

Program Manager - Talent and Performance Management

Company: StackAdapt

Location: USA

Posted Dec 17, 2024

StackAdapt is a remote-first company seeking a Program Manager in Talent and Performance Management to lead the center of excellence for performance management, talent planning, and organizational effectiveness. The successful candidate will stay updated on external best practices in Talent Management, Organizational Development, and Learning and Development. They will iterate on and implement global employee talent and performance management processes, work with cross-functional teams to implement competency frameworks and job architecture, and partner with Talent Development to build enablement materials for employee development.

Staff - Machine Learning Engineer

Company: Twilio

Location: USA

Posted Dec 17, 2024

Twilio is seeking a Staff Machine Learning Engineer to join their Efficiency Engineering team and develop cutting-edge solutions using AI and Data Science for external and internal customers. The role offers an opportunity to work on groundbreaking projects and collaborate with talented professionals. Required skills include 6+ years of applied ML experience, experience with Python and its libraries, and familiarity with LLMs.

Senior Consultant, Data Integration and BI

Company: Mhi

Location: USA

Posted Dec 17, 2024

MyersHolum is expanding operations to India and seeking experienced Senior Consultants to play a pivotal role in the expansion of the India Practice. The role involves designing, building, and testing custom data warehouse and BI solutions using Oracle NetSuite Analytics Warehouse NSAW platform. The qualifications required include 8+ years of relevant professional experience, proficiency in data management using Oracle or other relational databases, and experience with data warehouse and data integration projects using ETL, data integration, and data pipelining tools.

Machine Learning Engineer

Company: KoBold Metals

Location: USA

Posted Dec 17, 2024

KoBold is a leading independent mineral exploration company and technology developer, using AI models and novel sensors to guide exploration programs. They have proven their first discovery with less capital than the industry average and have a portfolio of over 60 projects for high-quality discoveries. The company is seeking a software engineering team member to build scalable ML systems for mineral exploration projects.

Senior Developer Advocate

Company: Apollo

Location: USA

Posted Dec 17, 2024

The job posting is for a Senior Developer Advocate at Apollo to lead efforts in building a thriving community around Apollo Connectors. The role involves creating high-quality connectors, developing engaging content, and fostering collaboration among contributors. The goal is to establish a thriving connector community with growing membership and partnerships, and increase usage and adoption through effective outreach and engagement. The position is remote and offers competitive compensation, equity, and benefits.

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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