Ai-Enhanced Technology Jobs in Washington DC

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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.

HVAC Technician II

Company: Warner Bros. Discovery

Location: Washington, DC

Posted Jan 24, 2025

Knowledge Manager

Company: Leidos

Location: Washington DC

Posted Jan 24, 2025

Leidos, a technology-enabled solutions provider, is seeking a Knowledge Manager for the Defense Combating Terrorism Office of an Intelligence agency. The role involves aligning processes and technology for information sharing, compiling reports on performance metrics, disseminating intelligence products, and demonstrating expertise in intelligence production. The ideal candidate should have an active Top SecretSCI TSSCI security clearance, a Bachelor's or Master's degree, and 8-12 years of Department of Defense or Intelligence Community Knowledge Management experience. Familiarity with Tableau is a plus. The pay range is $104,650 - $189,175.

Senior Knowledge Manager

Company: Leidos

Location: Washington DC

Posted Jan 24, 2025

Leidos, a technology-enabled solutions provider, is seeking a Senior Knowledge Manager for the Defense Combating Terrorism Office of an Intelligence agency. The role involves aligning processes and technology for information sharing, compiling reports on performance metrics, disseminating intelligence products, and demonstrating expertise in intelligence production. The ideal candidate should have an Active Top SecretSCI TSSCI security clearance, a Bachelor's degree with 17-20 years of DoD/IC Knowledge Management experience, or a Master's degree with 12-15 years of experience. Familiarity with Tableau is a plus. The pay range is $126,100 - $227,950.

VP, Technology Products and Platforms (Flexible Hybrid)

Company: Fannie Mae

Location: Washington DC

Posted Jan 24, 2025

Fannie Mae is seeking a VP Technology Products and Platforms to lead the evolution and implementation of shared services across the enterprise. The role involves driving the transformation from a labor and project-focused strategy to a technology product and platform model. The successful candidate will be responsible for platform strategy and management, stakeholder collaboration, team leadership, process improvement, and efficiency. The ideal candidate should have 10+ years of leadership experience in technical product management, platform management, or a related role. They should have a proven track record in leading large-scale technical teams and product management initiatives, with a focus on shared services or platform product development. The candidate should be familiar with cloud platforms, modern software architectures, and have strong leadership and team management skills. They should also have excellent problem-solving skills, strategic thinking, and strong communication and interpersonal skills. Fannie Mae offers a flexible hybrid work environment and a comprehensive benefits package.

District Support Pharmacist PT

Company: CVS Health

Location: Washington, DC

Posted Jan 24, 2025

CVS Health is seeking a Staff Pharmacist to join their team, emphasizing the role's importance in delivering enhanced human-centric health care. The position involves managing patient care programs, ensuring patient safety, and maintaining regulatory requirements. The ideal candidate will lead with heart, displaying empathy and compassion, and motivate their team to drive growth and improve performance. The role requires an active pharmacy license, immunization certification, and no pending felony charges or convictions for criminal offenses involving controlled substances.

Senior Director FP&A

Company: FiscalNote

Location: Washington DC

Posted Jan 24, 2025

The Sr Director of FP&A will lead all FP&A functions, creating a best-in-class financial intelligence function. This role involves developing long-term and short-term financial goals, maintaining financial systems, and driving margin and workflow improvements. The ideal candidate will have 8+ years of experience in financial modeling, advanced expertise in Salesforce, Excel, GSuite, and NetSuite, and the ability to lead cross-functional teams. The position demands strategic vision, operational expertise, and collaboration skills to achieve financial goals and scale effectively.

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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