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Ai Full Stack Engineering Manager

Boston,MA

1530 Ai Full Stack Engineering Manager 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
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BCG Platinion | Lead AI Tech Architect - AI Platforms

Boston Consulting Group

Boston, MA 02115

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in information technology, computer science, engineering, or a related field (Master's degree is a plus)
  • 6+ years of experience in software engineering, data engineering, or AI systems with experience in architecture or technical leadership roles
  • Strong foundation in software architecture and distributed systems
  • Experience designing AI/ML or LLM-based systems in production or near-production environments
  • Proficiency in one or more programming languages (e.g., Python, Javascript, TypeScript) is nice to have
  • Experience using modern AI-assisted coding and development tools (e.g., Cursor, Claude Code, Replit, Lovable) to accelerate prototyping experimentation, and implementation of AI platform solutions
  • Familiarity with modern AI agentic frameworks (LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, etc.)
  • Working knowledge of agentic AI concepts including RAG, multi-agent orchestration, memory patterns, vector databases, and function-calling
  • Understanding of Cloud architecture, data platforms, and API-based system integration, with depth in at least one hyperscaler (AWS, Azure, or GCP)
  • Experience of deploying AI solutions on cloud AI platforms and services
  • Integration of AI workflow with enterprise systems and data sources
  • Exposure to containerization and orchestration technologies (Docker, Kubernetes)
  • Experience with AI developer tools and productivity accelerators is a plus
  • Familiarity with vector databases and retrieval patterns; exposure to Pinecone, Qdrant, Aure Search, or similar is beneficial
  • Strong analytical thinking, problem-solving skills, and attention to engineering quality
  • Ability to explain technical concepts clearly to senior technical and non-technical stakeholders
  • Consulting mindset with comfort operating in ambiguous, fast-paced environments
  • Agile mindset with a focus on delivering business value through modern AI platforms
  • Willingness to travel to work with clients and BCG teams as needed
  • Gen AI fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response
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BCG Platinion | Lead AI Tech Architect - AI Platforms

Boston Consulting Group

Marblehead, MA 01945

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Manager - Technical Information Center

FM

Norwood, MA 02062

~ 34 min OnsiteFlexible 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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Manager, Healthcare AI Revenue Cycle Management

KPMG

Boston, MA 02115

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of consulting experience focused on operations performance improvement, systems integration, or equivalent industry experience (front, middle and back office experience preferred)
  • Minimum two years of direct supervisory experience, with preference of two to three years of experience managing teams
  • Bachelor's degree from an accredited college/university
  • Progressive experience using AI tools in implementing operational improvement plan across all phases of healthcare revenue cycle management and patient access including financial clearance, scheduling, referral management, billing, follow-up/collections and vendor management
  • Experience building AI tools to handle, analyze and evaluate large data sets with advanced analytics and visualization tools; working with project management teams, drafting status reports, tracing issues, monitoring resources, and workflow analysis/design
  • Deep understanding of the intersection of AI capabilities around scheduling/registration functions, financial clearance, clinical documentation, care delivery and care coordination, patient flow/throughput, referral management, clinical/operational/financial analytics, reporting and key initiatives such as patient experience transformations
  • Proficiency with foundational consulting skills such as analytical, written and verbal communication; possess appropriate client presence, facilitation and presentation abilities
  • 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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Principal 2 - Software Architect

GE Vernova

Boston, MA 02133

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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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Sr Product Designer, Amazon Robotics, Amazon Robotics

Amazon.com Services LLC

North Reading, MA 01864

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