Ai-Enhanced Technology Jobs in Multiple Locations

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

FIRE PROTECTION ENGINEER

Company: Department of the Navy - Naval Facilities Engineering Systems Command

Location: Multiple Locations

Posted Sep 30, 2024

This flyer notifies interested applicants of anticipated vacancies and provides instructions on how to apply. It also notes that notice of result letters will not be sent to applicants who respond to the flyer.

Supervisory Physical Scientist/ Biologist/ Environmental Engineer (SHEMB Branch Chair)

Company: Other Agencies and Independent Organizations - Environmental Protection Agency

Location: Multiple Locations

Posted Sep 29, 2024

This is an office-centered position that requires physical presence at one of the duty stations. EPA offers work-from-home and work schedule flexibilities.

Public Notice for General Engineer (Direct Hire)

Company: Department of Transportation - Federal Aviation Administration

Location: May be filled in various FAA duty locations

Posted Sep 30, 2024

The position is being filled through direct hiring authority for the 0801 series.

Deputy Assistant Commissioner and Chief Information Security Officer

Company: Department of the Treasury - Bureau of the Fiscal Service

Location: Multiple Locations

Posted Sep 29, 2024

This position is located at the Bureau of the Fiscal Service in the Assistant Commissioners Office of Information and Security Services. You will be a part of an organization that empowers and promotes the financial integrity and operational efficiency of the federal government through the delivery of services that supports some of the nations most critical assets while ensuring the security of our people facilities and information assets.

Quality Assurance Specialist

Company: Department of Defense - Defense Contract Management Agency

Location: Multiple Locations

Posted Sep 29, 2024

The job announcement provides information about the job, including salary ranges and locations. It also mentions that additional vacancies may be filled from this announcement.

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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