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Ai Engineering Director

Boston,MA

1516 Ai Engineering Director jobs in Boston,MA

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Manager - Technical Information Center

FM

Norwood, MA 02062

~ 34 min OnsiteUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Master's degree in Library and Information Science (MLIS), Information Management, Knowledge Management, Information Systems, Data Science, Engineering, or a related discipline.
  • Equivalent combination of education and relevant professional experience may be considered.
  • Minimum 5 years of progressively responsible experience in technical information management, library and information services, knowledge management, enterprise content management, or a related field.
  • Experience implementing information management technologies, enterprise search, content repositories, metadata frameworks, and governance practices within scientific, engineering, research, or technical organizations.
  • Strong knowledge of information and knowledge management principles, including information architecture, taxonomy development, metadata management, content governance, and information lifecycle management.
  • Familiarity with enterprise search, analytics, semantic technologies, AI-enabled discovery tools, and modern digital content and knowledge-sharing platforms.
  • Excellent leadership, strategic planning, analytical, communication, and stakeholder management skills, with the ability to collaborate effectively across business, research, and technology organizations.
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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)
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Manufacturing Engineering Director

MACOM Technology Solutions Holdings

Lowell, MA 01852

~ 38 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Engineering or related technical discipline
  • 10+ years of progressive manufacturing engineering leadership experience
  • 5+ years of experience leading engineering managers and cross-functional technical teams
  • Strong background in manufacturing process development, process optimization, and equipment engineering
  • Experience supporting high-volume, high-mix manufacturing environments
  • Proven success driving operational improvement, automation, and capacity expansion initiatives
  • Experience in RF Microwave semiconductor assembly, electronics manufacturing, microelectronics packaging, aerospace, defense, medical, or other high-reliability industries
  • Experience supporting ISO, AS9100, IPC, and other regulated manufacturing environments
  • U.S. Persons as per ITAR regulations
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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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BCG Platinion | Lead AI Tech Architect - AI Platforms

Boston Consulting Group

Boston, MA 02108

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BCG Platinion | Lead AI Tech Architect - AI Platforms

Boston Consulting Group

Marblehead, MA 01945

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Account Engineer, Boiler&Machinery

FM

Norwood, MA 02062

Requires TravelFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Engineering
  • Minimum of 4 years' experience in a specialty industry such as chemical, nuclear, mining, pulp & paper, manufacturing
  • Minimum of Senior Consulting Engineer and Industry Specialist in the Chemical Industry.
  • Must possess a strong understanding of asset integrity principles in complex process environments, including the reliability and integrity of critical equipment such as steam and gas turbines, electrical generators, rotating equipment, boilers, and piping systems, along with electrical systems, and how these systems, including their associated control and protection elements, interact and impact one another.
  • Ability to analyze complex data to develop accurate risk assessments and client-focused risk improvement plans demonstrating our added value.
  • Ability to balance attention to detail with focus on organizational objectives. Proficiency in computer skills and basic knowledge of insurance concepts. Organizational, problem-solving, decision-making, consulting, and teamwork skills are needed to succeed in our collaborative structure.
  • Excellent written, presentation and interpersonal communication skills, together with good cultural awareness.
  • Ability to work effectively in a team and as an individual, acting upon your own initiative is essential.
  • Ability to demonstrate a proactive and decisive approach to problem solving and be able to balance the drive for results with good attention to detail.
  • Communication, negotiation, and interpersonal skills are a must.
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Systems Engineering Intern - Autonomous Maritime Platforms

General Dynamics Mission Systems

Quincy, MA 02169

$29.25/hr
~ 16 min OnsiteFlexible Schedule

  • Enrolled in an accredited degree program in Computer Engineering, Systems Engineering, Software Engineering, Electrical Engineering, Mechanical Engineering or other related scientific or technical discipline
  • Preference for a standing of a sophomore or higher
  • Department of Defense Secret security clearance is preferred at time of hire
  • U.S. citizenship is required
  • This position is on-site in our Quincy, Massachusetts location
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Associate Manufacturing Engineer

Analog Devices

Wilmington, MA 01887

~ 27 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Must Have Skills
  • Knowledge of manufacturing, process engineering, production operations, or industrial systems through coursework, projects, internships, or work experience
  • Strong analytical and problem-solving skills with the ability to interpret technical and process-related data
  • Understanding of engineering fundamentals, process improvement methodologies, and manufacturing principles
  • Ability to read and interpret engineering drawings, specifications, and technical documentation
  • Effective communication and collaboration skills in a cross-functional team environment
  • Proficiency with Microsoft Office or similar productivity tools
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Materials Science, Manufacturing Engineering, Industrial Engineering, Chemical Engineering, or a related technical discipline
  • 0-2 years of relevant experience in manufacturing engineering, process engineering, operations engineering, production engineering, or related technical disciplines
  • Familiarity with Statistical Process Control (SPC), Design of Experiments (DOE), Lean Manufacturing, Six Sigma, or related methodologies
  • Experience with manufacturing, assembly, semiconductor, process development, test, or production environments through internships, academic projects, or industry experience
  • Exposure to manufacturing execution systems (MES), data analysis tools, or process monitoring systems
  • Familiarity with CAD software, engineering analysis tools, or process simulation tools
  • Experience supporting new product introduction (NPI), process qualification, or manufacturing transfer activities
  • Knowledge of quality systems, root cause analysis, failure analysis, or continuous improvement techniques
  • Must travel: Required Travel: Yes, 10% of the time
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Technical Program Senior Manager

BOOZ, ALLEN & HAMILTON

Lexington, MA 02421

Education AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 10+ years of experience with leading multi-functional te chnical teams to maximize engineering output and efficiency
  • Experience with Hanscom AFB acquisition
  • Experience in operating within AF PEO Digital, C3I & N, or NC3 using Defense Acquisition Life Cycle
  • Experience with acquiring DoD Command, Control, Communications, Cyber, and Information ( C4I ) defense systems
  • Knowledge of establishing and documenting repeatable programmatic and te chn ical processes to achieve scale
  • Secret clearance
  • Bachelor's degree
  • Secret clearance is required
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