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Ai Monitoring Jobs in Massachusetts (NOW HIRING)

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Implement AI monitoring, observability, tracing, telemetry, and performance measurement. Also expected * Implement agent memory patterns (short-term, long-term, episodic). * Integrate agents with ...

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant.

Cloud AI Ops / AI Monitoring; and, Cloud Discovery. Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $77,000 - $202,000. Actual compensation within the range ...

Senior AI Engineer

Boston, MA · On-site

$120 - $150/hr

Continuously monitor and improve model performance. Requirements * 5+ years of experience in ... About Seven AI We are seeking professionals of all levels who are eager to make a substantial ...

AI Engineer Job Posting Description The AI Engineer will join the AI team supporting the Long-Term ... Monitor production models for performance, data drift, model drift, bias, accuracy degradation ...

AI Engineer - Hybrid

Boston, MA · On-site

$90 - $167/hr

AI Engineer Job Posting Description The AI Engineer will join the AI team supporting the Long-Term ... Monitor production models for performance, data drift, model drift, bias, accuracy degradation ...

Implement data quality checks, monitoring, and governance practices throughout the pipeline ... System Integration and Deployment Integrate AI systems with existing university infrastructure ...

Proactively identify and evaluate opportunities to apply AI-enabled workflows and automation to ... Partner cross-functionally with Monitoring Operations, Vendor Management, People, and other teams ...

Proactively identify and evaluate opportunities to apply AI-enabled workflows and automation to ... Partner cross-functionally with Monitoring Operations, Vendor Management, People, and other teams ...

Proactively identify and evaluate opportunities to apply AI-enabled workflows and automation to ... Partner cross-functionally with Monitoring Operations, Vendor Management, People, and other teams ...

Define common patterns, standards, and best practices for AI applications, integrations, retrieval, governance, and monitoring * Partner with Engineering, IT, Security, Data, and business teams to ...

AI Architect

Woburn, MA

$69 - $90.75/hr

Define common patterns, standards, and best practices for AI applications, integrations, retrieval, governance, and monitoring * Partner with Engineering, IT, Security, Data, and business teams ...

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Showing results 1-20

Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

What are the key skills and qualifications needed to thrive as an AI monitoring specialist, and why are they important?

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

Infographic showing various Ai Monitoring job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Technical Project Manager - Snowflake & AI

Boston, MA • On-site

Virtusa Corporation
IT Services • 10K+ employees

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Requirements
Seeking a strong Technical Project Manager with experience managing Snowflake migration/modernization and knowledge of AI/GenAI.
This is not a traditional PM role-the candidate must understand technical discussions and work closely with architects, data engineers, AI engineers, and business teams. The primary focus is managing the technical delivery of autonomous AI agents using Snowflake Cortex AI.
  • Key Responsibilities Lead technical delivery of Snowflake and Cortex AI initiatives from design through deployment. Manage Snowflake migration/modernization planning, dependencies, testing, and deployment.
  • Coordinate Snowflake architects, data engineers, AI/ML engineers, and other technical teams.
  • Manage technical scope, milestones, risks, issues, dependencies, and deliverables.
  • Coordinate development and integration of AI agents using Snowflake Cortex AI with enterprise data and applications. Establish AI evaluation frameworks for accuracy, quality, reliability, and hallucination rates. Manage AI monitoring, tracing, observability, and Human-in-the-Loop (HITL) checkpoints.
  • Ensure security, compliance, privacy, and AI governance requirements are addressed.
  • Drive testing, production readiness, deployment, and stabilization. Provide technical status, risks, and dependency updates to leadership. Required Skills 8+ years of Technical Project/Program Management experience.
  • Experience managing Snowflake migration or modernization projects. Strong understanding of Snowflake, cloud data platforms, data engineering, ETL/ELT, and data integration. Understanding of GenAI, LLMs, RAG, and AI agents.
  • Experience working with technical architects and engineering teams.
  • Understanding of AI evaluation, monitoring, tracing, and governance. Strong communication and stakeholder management skills. Ability to understand and manage technical discussions-not just schedules and status.
  • Preferred Skills Snowflake Cortex AI / Cortex Agents experience.
  • Experience with autonomous/agentic AI projects. AI evaluation and observability experience. MCP (Model Context Protocol) knowledge. AWS or Azure experience.
  • Life Sciences / Healthcare / Pharmaceutical industry experience.
  • Experience with regulated data, HIPAA, PHI/PII, or similar compliance requirements.
  • Snowflake certification. Ideal Candidate A technically strong PM who can bridge technical architecture and project execution, understands Snowflake migration, and can manage delivery of a Cortex AI/autonomous AI agent platform.

Work Experience
10-15Years

Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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