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.

AWS Connect Specialist

Company: rockITdata

Location: Washington DC

Posted Jan 26, 2025

rockITdata, a certified minority and woman-owned small business, offers comprehensive consulting services with a focus on management and IT. They leverage AI and machine learning technologies to help clients build efficiencies, decrease costs, and drive better outcomes. The company provides four distinct offerings: consulting services, application development and sustainment, mission support, and contact center solutions. They are currently seeking an experienced AWS Connect Specialist to join their Emerging Solutions team, focusing on Contact Center services. The ideal candidate will have extensive experience in implementing contact center solutions, strong handson experience with AWS Connect and related AWS services, and proficiency in at least one programming language.

Lead Functional Consultant - ORACLE FUSION HCM CLOUD

Company: Axxum Technologies

Location: Washington DC

Posted Jan 26, 2025

The Lead Functional Consultant for Oracle Fusion HCM Cloud is responsible for driving the business analysis function of the CPS ERP Modernization Program. This role involves leading project and application support teams to deliver high-quality systems solutions for the implementation of Oracle Fusion HCM-related cloud services. The consultant will work closely with the Talent department to analyze as-is and to-be states, define data conversion and integration requirements, and facilitate workshops on key design decisions. They will also own the green field implementation of Oracle Fusion HCM ERP cloud, gather detailed functional and technical requirements, and conduct fit-gap analysis. The consultant will be involved in the evaluation and selection of third-party partners, educate the talent team on best practices, and drive a cadence of regression testing for each quarterly product release cycle.

Manager, Product Management - Talent Acquisition

Company: Capital One

Location: Washington DC

Posted Jan 26, 2025

Capital One is seeking a Product Manager for Talent Acquisition in McLean, Virginia. The role involves managing the product roadmap, leveraging customer insights, and driving innovative customer experiences through technology. The ideal candidate should be intellectually curious, a communicator, a doer, customer-focused, a learner, and a team player. Basic qualifications include a bachelor's degree and at least 3 years of product management experience. The salary range for this role is $158,400 - $180,800 annually.

Managing Director

Company: U.S. Department of State

Location: Washington, DC

Posted Jan 25, 2025

Pharmacy Technician

Company: CVS Health

Location: Washington, DC

Posted Jan 25, 2025

Senior Data Engineer - BankTech

Company: Capital One

Location: Washington DC

Posted Jan 25, 2025

Capital One is seeking a Senior Data Engineer with at least 3 years of experience in application development and 1 year in big data technologies. The role involves collaborating with Agile teams, utilizing various programming languages and cloud-based data warehousing services, and staying updated with tech trends. The ideal candidate should have 5+ years of experience in application development, 2+ years in public cloud, and expertise in distributed data computing tools, NoSQL databases, and UNIX/Linux. The role offers a competitive salary and benefits package, and Capital One is an equal opportunity employer committed to diversity and inclusion.

EASE Product Manager, Shopping (Remote-Eligible)

Company: Capital One

Location: Washington DC

Posted Jan 26, 2025

Capital One is seeking a Product Manager for their growing team in Capital One Shopping. The ideal candidate should have a strong background in data analysis, SQL, and emerging technologies. They should be comfortable working with backend products, have a customer-first mindset, and be a strategic thought leader. The role involves leading teams of software and data engineers, understanding enterprise data requirements, and creating a vision and roadmap for the product. The minimum annual salary for this role is $144,000 for remote positions and ranges up to $197,200 for on-site positions in New York City and San Francisco.

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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