Ai-Enhanced Technology Jobs in Washington DC

45,091 open positions · Updated daily

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

Chief Technology Officer

Company: Department of Energy - Department of Energy - Agency Wide

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

Information Technology Specialist (INFO SEC/ NETWORK/ APPSW)

Company: Department of State - Department of State - Agency Wide

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

General Engineer/Physical Scientist

Company: Department of Energy - National Nuclear Security Administration

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

BUDGET ANALYST

Company: Department of the Treasury - Treasury, Departmental Offices

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

Dietitian (Clinical)

Company: Department of Veterans Affairs - Veterans Health Administration

Location: Vancouver, Washington Vancouver, Washington

Posted Jun 08, 2024

Intelligence Operations Specialist (Counterintelligence)

Company: Department of the Treasury - Treasury, Departmental Offices

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

Supervisory Attorney

Company: Department of Transportation - Federal Aviation Administration

Location: Washington, District of Columbia Washington, District of Columbia

Posted Jun 08, 2024

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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