989 Avp Mgr Software Engineering jobs in Los Angeles,CA

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
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Master's degree from an accredited college or university preferred
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
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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Systems Integration Engineer with Security Clearance

TEKsystems c/o Allegis Group

El Segundo, CA 90245

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System Architect

BOOZ, ALLEN & HAMILTON

El Segundo, CA 90245

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years of experience developing or defining architectures that integrate MBSE tools, simulation environments, data repositories, and lifecycle management systems
4+ years of experience performing systems engineering analysis and developing systems engineering products for DoD or government systems
3+ years of experience with practical MBSE for the development of technical specifications, interface control documents, and system architecture, including using digital engineering tools such as Cameo or MagicDraw, SparxEA, DOORS, or IBM Rhapsody
Ability to define and maintain the enterprise architecture for a digital engineering ecosystem
Ability to communicate and establish collaborative relationships with government clients, Federally Funded Research and Development Center s ( FFRDC ) , and asso cia te contractor teammates to achieve program goals
Secret clearance
Bachelor's degree in STEM

SmartExplore AI is experimental.