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Ai Alignment Jobs in Springfield, MA (NOW HIRING)

The AI Architect role involves architecting and implementing production-grade AI agent solutions ... in alignment with business goals. • Build models and analytics solutions tailored to business ...

Align AI strategy with the organization's business goals and current data maturity. * Maintain clear, actionable AI delivery plans that prioritize operational efficiency and organizational value.

AI Solutions Architect

East Granby, CT · On-site

$100K - $130K/yr

Align AI strategy with the organization's business goals and current data maturity. * Maintain clear, actionable AI delivery plans that prioritize operational efficiency and organizational value.

Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ...

Corporate leadership, to align priorities and drive enterprise focus * Business unit operations, to ... Embedded AI within core platforms (Salesforce, Workday, IFS) * Focus on usability, scalability, and ...

AI Data Engineer - Manager

Hartford, CT · On-site

$115K - $138K/yr

Strategic Alignment and Vision * Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts. * Translate the vision of ...

Ensure alignment with regulatory expectations (NAIC AI Principles, UK/EU guidance, model risk management) * Continue to improve and define governance standards for: Generative AI (e.g., Copilot ...

... alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture ...

AI Security Architect

Hartford, CT

$65.50 - $84.75/hr

Review and approve AI solution designs to ensure alignment with security, privacy, and resilience requirements * Design controls for secure data pipelines, secure model storage, controlled model ...

Design and implement robust legal rubrics for use in AI-driven document review and analysis ... Continuously review and refine rubric criteria to align with evolving legal standards and best ...

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Ai Alignment information

See Springfield, MA salary details

$89.2K

$99.7K

$108.1K

How much do ai alignment jobs pay per year?

As of Jun 15, 2026, the average yearly pay for ai alignment in Springfield, MA is $99,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $104,600.00 per year, depending on experience, location, and employer.

How difficult is AI alignment?

AI alignment is a complex field within AI safety that involves ensuring artificial intelligence systems behave as intended. It requires interdisciplinary knowledge, including machine learning, ethics, and formal verification, and often involves research, experimentation, and collaboration among experts. The difficulty varies depending on the specific goals and the level of AI sophistication involved.

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

How to get into AI alignment research?

To pursue AI alignment research, individuals typically need a strong background in computer science, mathematics, or related fields, often demonstrated through advanced degrees such as a master's or Ph.D. in AI, machine learning, or ethics. Gaining experience with programming, machine learning frameworks, and research methodologies is essential, along with staying informed about current AI safety and alignment literature. Building a portfolio of research projects or publications can also improve prospects in this specialized field.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

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

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

What jobs align with AI?

Jobs that align with AI include roles such as AI researcher, machine learning engineer, data scientist, and AI software developer. These positions typically require skills in programming, statistics, and understanding of AI frameworks like TensorFlow or PyTorch, and often involve working in tech companies, research institutions, or startups focused on AI development.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills, extensive experience, and sometimes security clearances. These roles usually involve leading complex projects, developing innovative algorithms, and working with cutting-edge tools and frameworks, with compensation reflecting the expertise and impact involved.
What are popular job titles related to Ai Alignment jobs in Springfield, MA? For Ai Alignment jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Ai Alignment jobs in Springfield, MA look for? The top searched job categories for Ai Alignment jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Ai Alignment jobs? Cities near Springfield, MA with the most Ai Alignment job openings:
Vulnerability Governance and Reporting Analyst

Vulnerability Governance and Reporting Analyst

The Computer Merchant, Ltd

Springfield, MA • Hybrid

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

JOB TITLE: Vulnerability Governance and Reporting Analyst JOB LOCATION: Hybrid Springfield, Boston or NY WAGE RANGE*: 58 - 62/ W2 JOB NUMBER:37330066 JOB DESCRIPTION The Vulnerability Governance & Reporting Analyst is responsible for strengthening enterprise governance to reduce the backlog of vulnerabilities and misconfigurations while enabling scalable, data-driven capabilities that support AI readiness across the organization. This role serves as a critical bridge between vulnerability management operations, governance, and emerging AI initiatives. The position focuses on establishing robust governance frameworks, improving data quality, and driving accountability across remediation processes to ensure vulnerabilities and configuration gaps are addressed in a timely and risk-informed manner.

The role also ensures that vulnerability and configuration data is structured, normalized, and actionable, forming a reliable foundation for AI-driven insights, automation, and advanced analytics. This individual partners closely with Cybersecurity, Infrastructure, Cloud, and Data teams to optimize workflows, enforce SLA adherence, and enhance reporting transparency. The role is instrumental in transitioning the VMCA program from reactive backlog management to a proactive, intelligence-driven, and AI-enabled capability.

Skills: Technical Skills Vulnerability & Configuration Platforms: Strong experience with Qualys, Wiz, and similar platforms, including data validation and workflow integration Governance & Risk Management: Deep understanding of vulnerability lifecycle governance, SLA management, and risk acceptance processes Data & AI Enablement: Experience preparing and structuring datasets for analytics and AI use cases. Familiarity with data normalization, enrichment, and aggregation across security tools Automation & Integration: Proficiency with automation (e.g., PowerShell, Python) and integration with platforms such as ServiceNow, JupiterOne, CMDB, and data pipelines Analytics & Reporting: Experience building dashboards and executive reporting (e.g., Tableau) focused on risk reduction, backlog trends, and SLA performance Core Strengths Governance Leadership: Ability to establish and enforce structured governance models that drive accountability and measurable outcomes Strategic Thinking & AI Alignment: Forward-looking mindset focused on enabling AI-driven capabilities through strong data and process foundations Operational Execution & Backlog Reduction: Proven ability to reduce large-scale vulnerability backlogs through prioritization, process improvement, and stakeholder alignment Data-Driven Decision Making: Strong analytical mindset with the ability to translate complex data into actionable insights and measurable outcomes Executive Communication: Ability to communicate risk, progress, and strategy in a clear, concise, and leadership-ready format Cross-Functional Influence: Skilled at driving alignment across teams with competing priorities to achieve enterprise risk reduction goals Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation.

Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.