Innovative Technology Jobs in Washington DC

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

Cloud Developer- TS/SCI Required

Company:

Location: Washington, DC

Posted Feb 03, 2025

Manager, Information Security Office (ISO) Consultant

Company: Capital One

Location: Washington DC

Posted Feb 03, 2025

Capital One is seeking a Manager Information Security Office ISO Consultant with at least 4 years of experience in cybersecurity or information technology. The role involves acting as a central Information Security point of contact, coordinating proactive consulting, and securing design solutions. The ideal candidate should have a deep passion for securing modern computing platforms, strong conceptual thinking, and excellent communication skills. The position offers a competitive salary and comprehensive benefits. Capital One is an equal opportunity employer committed to diversity and inclusion.

Senior Data Scientist

Company:

Location: Washington, DC

Posted Feb 03, 2025

Fraud Technologist - Data and Analytics - Sr Associate

Company: PwC

Location: Washington DC

Posted Feb 03, 2025

PwC's Financial Crimes Data and Analytics team focuses on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to optimize clients' operations and achieve strategic goals. As a Senior Associate in Business Intelligence, you will focus on providing strategic insights and driving informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. Building meaningful client connections and managing others are key aspects of the role. The position requires critical thinking, problem-solving skills, and the ability to navigate complex situations. PwC values professionals who can interpret data, uphold professional standards, and continuously develop their skills and knowledge.

Frequently Asked Questions

What are typical salary ranges for Innovative Technology roles by seniority?
Entry‑level AI/ML Engineers earn $80,000–$110,000 annually. Mid‑level specialists ($110k–$150k) add responsibilities in model optimization and deployment. Senior engineers ($150k–$200k) lead cross‑functional projects and mentor juniors. Lead or Principal roles ($200k–$250k+) include strategic product ownership, research direction, and equity compensation.
Which skills and certifications are most sought after in Innovative Technology?
Core programming in Python, PyTorch, or TensorFlow; cloud expertise (AWS Certified Machine Learning, Azure AI Engineer Associate); edge‑AI frameworks (EdgeX Foundry, TensorRT); IoT protocols (MQTT, CoAP); security certifications (CompTIA Security+, CISSP); and quantum‑specific credentials such as IBM Quantum Developer or Qiskit certification. Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines is also essential.
How common is remote work for Innovative Technology positions?
Over 70% of listings allow fully remote or hybrid arrangements. Companies prioritize distributed teams to tap global talent pools, especially for AI research, quantum software, and IoT architecture. Remote roles often require strong asynchronous communication skills and adherence to strict security standards.
What career progression paths exist within Innovative Technology?
Typical trajectories start at Junior Engineer → Software Engineer → Senior Engineer → Lead Engineer → Principal Engineer or Research Scientist. Parallel paths include Product Manager for AI solutions, Technical Program Manager for cross‑domain projects, or Enterprise Solutions Architect focusing on edge‑AI deployments. Advancement is driven by demonstrable impact on model performance, system scalability, or security architecture.
What industry trends are shaping the Innovative Technology job market?
Key trends include AI governance and explainability frameworks; edge‑AI scaling for real‑time analytics; quantum‑resistant cryptography adoption; IoT security standards (e.g., NIST IoT Cybersecurity Framework); and the convergence of 5G with low‑latency edge computing. Companies are investing in hybrid cloud‑edge infrastructures and building AI‑enhanced supply‑chain visibility platforms.

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