804 Software Engineer Ai Core Engineering jobs in Boston,MA

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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

SmartExplore AI is experimental.

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Embedded Software Engineer

CIENA

Burlington, MA 01803

Flexible Schedule

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Principal AI Software Engineer

GE Vernova

Cambridge, MA 02140

~ 10 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).
Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.
Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).
Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.
Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

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Associate, AI Engineer

KPMG

Boston, MA 02115

Onsite

Minimum one years of recent professional or academic experience in AI/ML, data science, software engineering, or cloud technologies
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field
Experience with at least one major cloud AI platform (Azure AI, AWS AI/Bedrock, or Google Cloud Vertex AI)
Proficiency in Python or another programming language commonly used in AI/ML
Familiarity with conversational AI frameworks (LLMs, chatbots, virtual assistants, agents) and APIs
Strong analytical skills and attention to detail with the ability to work in a team-based, client-focused environment
Ability to travel as required
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

SmartExplore AI is experimental.

New, Posted 2 hours ago

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Principal Software Engineering Architect (Onsite)

Raytheon

Tewksbury, MA 01876

Flexible Schedule

New, Posted 9 hours ago

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Principal Mechanical Engineer

SAAB

Quincy, MA 02169

~ 16 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Must be a U.S. citizen.
Must hold or be able to obtain U.S. DoD SECRET security clearance.
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.
As a condition of employment, candidates will be required to pass a pre-employment drug screen.
Ability to travel up to 25%, both international and domestic.
Candidate must be able to work with limited/general direction.

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Director, Systems Engineering - Agile EO (Electro-Optical) Chief Engineer : Sign-on bonus ($50K max)

L3Harris Technologies

Wilmington, MA 01887

Bilingual Preferred

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Director of Product Management- Cloud Infrastructure Engineering

athenahealth, Inc.

Brighton, MA 02135

New, Posted just now

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Civil Engineer

Pure Power Engineering

Boston, MA 02115

New, Posted 1 day ago

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Easy Apply

Senior System Engineer

Viken Detection

Burlington, MA 01803

~ 24 min Onsite

Engineering degree in Electrical Engineering, Computer Engineering or related field
10+ years' experience within engineering domain
5+ years' experience systems integration
Work Authorization: Applicants must be authorized to work in the U.S. on a full-time basis
We are unable to provide visa sponsorship for this position currently

SmartExplore AI is experimental.