1185 Ai Manager jobs in Upper Marlboro,MD

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Technical Writer (AI Expertise)

Martek Global Services

Washington, DC 20024

~ 28 min Onsite

Bachelor's degree in English, Technical Writing, Communications, Information Science, or related field
Must have a minimum of 5 years of relevant experience
Site Address : 1000 Independence Ave SW, Washington, DC 20024
Advanced degree (Master's) preferred, especially with coursework in AI, data science, or information management
Develop, maintain, and standardize relocation documentation, including move plans, SOPs, checklists, and user guides
Translate complex technical, safety, IT, and facilities requirements into clear, actionable documentation for diverse stakeholders
Leverage AI tools (e.g., generative AI, document automation platforms) to accelerate drafting, version control, and content consistency
Support knowledge management by organizing documentation repositories and implementing search/tagging structures
Collaborate with facilities, IT, safety, and asset management teams to capture requirements and updates in real time
Produce executive-level briefings, status reports, and transition documentation
Ensure all documentation complies with federal standards, DOE policies, and records management requirements

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AI Engineer

Capital One

Mc Lean, VA 22101

New, Posted 1 hour ago

Manager, AI Engineer

KPMG

Washington, DC 20007

~ 28 min OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

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