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Ai Alignment Jobs in Wallkill, NY (NOW HIRING)

2T Consulting

AI/ML Solution Architect

Kingston, NY

$59.75 - $78.75/hr

Design and architect comprehensive AI/ML solutions aligned with business objectives and technical requirements. * Develop and implement solutions leveraging Generative AI, Agentic Engineering ...

2T Consulting

AI/ML Solution Architect

Kingston, NY · On-site

$59.75 - $78.75/hr

Design and architect comprehensive AI/ML solutions aligned with business objectives and technical requirements. * Develop and implement solutions leveraging Generative AI, Agentic Engineering ...

Harris

(Remote) AI Champion

Florida, NY · Remote

$70K - $100K/yr

In this role, you will identify key business challenges and design groundbreaking AI-driven solutions that align with our strategic goals. You will collaborate with leaders, customers, and developers ...

Accenture

Technology Recruiter - Advanced AI

Carmel, NY · On-site

Partner with workforce planning and operations teams to align recruiting activity with short- and ... AI certifications * Previous Professional Services or Management Consulting experience * Advanced ...

Genesys

Sr. Services Engagement Director

Florida, NY · On-site +1

... alignment. At Genesys, we are redefining how organizations deliver customer experiences through empathy, AI, and cloud innovation, and this role is central to bringing that vision to life for mid ...

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Ai Alignment information

See Wallkill, NY salary details

$89.5K

$100K

$108.5K

How much do ai alignment jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai alignment in Wallkill, NY is $99,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $105,000.00 per year, depending on experience, location, and employer.

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 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 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.

What cities near Wallkill, NY are hiring for Ai Alignment jobs?

Cities near Wallkill, NY with the most Ai Alignment job openings:

Ai Alignment jobs near you

AI/ML Solution Architect

Kingston, NY

2T Consulting
IT Services • 51 - 200 employees
Learn more about 2T Consultingexternal

$59.75 - $78.75/hr

Full-time

Posted 12 days ago

Job description

We are seeking a Technology Architect with 10+ years of experience in designing and implementing enterprise AI/ML solutions. The ideal candidate will have strong expertise in AI/ML solution architecture, Generative AI, Agentic Engineering, and Machine Learning, with the ability to translate business requirements into scalable AI strategies and technical solutions.

Roles and Responsibilities

  • Design and architect comprehensive AI/ML solutions aligned with business objectives and technical requirements.
  • Develop and implement solutions leveraging Generative AI, Agentic Engineering, Machine Learning, and AI technologies.
  • Collaborate with business and technical stakeholders to translate business goals into AI strategies, architectures, and roadmaps.
  • Provide technical leadership across AI/ML solution design and implementation initiatives.
  • Guide engineering teams in developing scalable, secure, and production-ready AI solutions.
  • Evaluate emerging AI technologies and identify opportunities for business adoption.
  • Apply Responsible AI principles to AI solution architecture and implementation.
  • Support MLOps, model deployment, monitoring, and lifecycle management where required.
  • Mentor technical teams and contribute to architecture standards, best practices, and technical documentation.

Required Qualifications

  • 10+ years of overall IT/technology experience.
  • Strong experience in AI/ML Solution Architecture and Design.
  • Hands-on experience with Generative AI technologies and solutions.
  • Strong expertise in Agentic Engineering / AI Agent development.
  • Experience designing enterprise-scale AI solutions and architectures.
  • Strong stakeholder management, communication, and technical leadership skills.
  • Ability to bridge business requirements and technical execution.

Preferred Qualifications

  • Experience with MLOps and ML model lifecycle management.
  • Strong Machine Learning and Data Science knowledge.
  • Experience with Responsible AI frameworks and practices.
  • Experience leading and mentoring AI/ML engineering teams.
  • Exposure to enterprise AI transformation and modernization initiatives.

Apply