3510 Ai Sdlc Engineer Devtooling Leader jobs in Boston,MA

New, Posted 15 hours ago

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Senior Embedded Software Engineer

Draper

Cambridge, MA 02139

~ 10 min Onsite

Requires a bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering.
Requires 5-10 years experience in Software Engineering or related.
Applicants selected for this position will be required to obtain and maintain a government security clearance. Secret Clearance is preferred.

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Software Engineer II (Backend, AI Experiences & AI Platform)

Whoop

Boston, MA 02115

New, Posted 15 hours ago

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Principal Embedded Software Engineer

Draper

Cambridge, MA 02139

~ 10 min Onsite

Requires10-15 years experience with a Bachelor's degree or 7-10 years with a Master's degree in the development of embedded software or applicable experience
Requires a Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
Applicants selected for this position will required to obtain and maintain a government security clearance

SmartExplore AI is experimental.

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Software Engineering/Applications Leadership Advisory - Executive Technology Services for Global Enterprises

Gartner

Boston, MA 02110

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AI Engineer

KPMG

Boston, MA 02108

New, Posted 1 day ago

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Manager, AI Engineer

KPMG

Boston, MA 02115

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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