Ai-Enhanced Technology Jobs in Washington DC

45,069 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.

Federal Data Engineer

Company: Accenture

Location: Washington, DC

Posted Jan 23, 2025

Payroll Administrator/Analyst

Company: Addison Group

Location: Washington, DC

Posted Jan 23, 2025

Governance, Risk, & Compliance (GRC) Compliance Assurance Senior Analyst

Company: TikTok

Location: Washington, DC

Posted Jan 23, 2025

TikTok, a leading platform for short-form mobile video, is seeking a Compliance Assurance Senior Analyst. The role involves performing control design walkthroughs, operating effectiveness testing, and collaborating with cross-functional teams to ensure adherence to cybersecurity frameworks like ISO 27001, SOC 2, and PCI-DSS. The ideal candidate should have a strong security controls and compliance mindset, excellent communication skills, and project management abilities. TikTok values diversity and inclusivity, aiming to inspire creativity and bring joy through its platform.

Senior Consultant, GRC, Proactive Services (Unit 42) - Remote

Company: Palo Alto Networks

Location: Washington, DC

Posted Jan 23, 2025

Palo Alto Networks is a cybersecurity company dedicated to protecting the digital way of life. They are committed to innovation and disrupting traditional methods, valuing each team member's unique ideas. The Senior Consultant, GRC for Proactive Services role involves assisting the Governance, Risk, and Compliance team, assessing security risks, and providing recommendations to improve clients' security posture. The company offers comprehensive benefits, including flexible wellbeing programs and opportunities for professional growth. They are looking for candidates with 4+ years of experience in information security and risk assessments, knowledge of GRC tools, and a track record in strengthening client relationships.

Software Engineer (Technical Leadership) - Machine Learning

Company: Meta

Location: Washington, DC

Posted Jan 23, 2025

Meta is recruiting for a Machine Learning Engineer position, seeking candidates with industry experience in various classification and optimization problems. The role involves applying these skills to large-scale social data and prediction problems. Key responsibilities include driving team goals, communicating complex features, understanding industry trends, collaborating with leaders, identifying new opportunities, and developing scalable classifiers. The ideal candidate should have a Computer Science or related technical degree, extensive programming experience, and a proven track record in planning multi-year roadmaps. Meta offers competitive compensation and benefits, and is committed to equal employment opportunities.

Personal Banker - Skyland

Company: PNC

Location: Washington, DC

Posted Jan 23, 2025

Production Specialist

Company: EF Education First

Location: Washington, DC

Posted Jan 23, 2025

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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