2251 Engineering Manager Digital Ai jobs in Boston,MA

New, Posted 19 hours ago

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AIRx Director, Computational & AI Biologics Design Lead (BOSTON)

Takeda Pharmaceutical

Cambridge, MA 02139

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Staff Engineer, Digital ASIC Design (CONTRACT)

Butterfly Network

Burlington, MA 01803

New, Posted 1 day ago

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Product Solution Manager

Aristocrat Interactive

Boston, MA 02115

$92,400-$171,600/yr

RemoteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Computer Science or a related field, and/or equivalent work experience.
5+ years as a Technical Product Manager, System Analyst, or Product Owner.
Experience with a broad base of digital web and mobile products, technologies, platforms, patterns, frameworks, and methodologies.
Knowledge of technical development documentation methodologies and technologies (Visio, UML, object modeling, etc.).
Experience developing standard methodologies for the implementation and maintenance of e-Commerce, CRM, web, social media, and web analytics assets.
Strong understanding of software build principles and patterns.
Experience with general security technologies, processes, and concepts.
Ability to communicate sophisticated concepts with both technical and non-technical collaborators.
Strong leadership and interpersonal abilities, with the capacity to collaborate across multiple functions.
Strong business judgment and decision-making skills, with the ability to recognize, prioritize, and communicate high-impact initiatives.
Experience leading projects using Waterfall and Agile methodologies.

SmartExplore AI is experimental.

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

Whoop

Boston, MA 02115

New, Posted 1 day ago

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Software Development Manager

CS Experienced

Malden, MA 02148

~ 16 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's in Computer Science, Electrical/Computer Systems Engineering or a similar math or engineering discipline
Demonstrated history of implementing and managing significant software development projects in a CI/CD environment
5-10 years of experience in Software Development as a software engineer
2+ years of experience in Engineering Management
Strong expertise with both frontend and backend technologies such as React and Java
Proven delivery experience working under an Agile/Scrum methodology
Ability to build highly scalable, distributed systems using cloud-native technologies such as AWS
Ability to simultaneously support multiple high priority projects in a fast-paced environment
Established track record of implementing with urgency and guiding teams to resolve complex technical challenges within tight timelines

SmartExplore AI is experimental.

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Director, AI Engineer

KPMG

Boston, MA 02115

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.