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Ai Alignment Jobs in Delaware (NOW HIRING)

Bancorp Bank

$150 - $200/hr

Owns the enterprise AI and intelligent automation strategy, roadmap, and operating model in alignment with business priorities, risk appetite, regulatory expectations, and enterprise transformation ...

Barclays

VP - AI Risk Governance

Wilmington, DE · On-site

Monitoring of AI systems tp ensure operation within effective guardrails and controls ... L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop ...

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Ai Alignment information

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.

What is a $900000 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 in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are common in top tech companies or specialized AI firms for senior or executive-level professionals.

How to become an AI alignment researcher?

To become an AI alignment researcher, typically a strong background in computer science, machine learning, or related fields is required, often including advanced degrees such as a master's or Ph.D. in these areas. Developing expertise in AI safety, ethics, and formal verification, along with programming skills in Python and familiarity with AI frameworks, is essential. Gaining research experience through academic projects, internships, or contributing to open-source initiatives can also be valuable for entering 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.

Which 3 jobs will survive AI?

AI alignment professionals, software engineers specializing in AI safety, and ethicists focused on AI governance are likely to continue being in demand as AI technology advances. These roles require specialized knowledge, critical thinking, and oversight skills that are difficult to automate. Continuous learning and expertise in AI tools and ethical frameworks are essential for these jobs to remain relevant.

What is an AI alignment?

AI alignment in the context of AI safety and ethics refers to designing and developing artificial intelligence systems so that their behaviors and outcomes align with human values and intentions. AI alignment specialists work to ensure that AI systems act reliably and safely, often using techniques like value specification, interpretability, and robustness testing. This field requires skills in machine learning, ethics, and programming, and is critical for creating beneficial and trustworthy AI systems.
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Ai Alignment jobs near you

AI Technology Leader

Berkley Technology Services

Wilmington, DE • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Berkley Technology Services (BTS) is a dynamic company committed to providing world class IT services. They are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture and platform strategy for Generative and Agentic AI capabilities across the organization.
Responsibilities:
• Define and evolve the enterprise-wide technology strategy for Generative and Agentic AI, aligned with business goals and operational priorities.
• Partner with the Corporate AI Leader to translate business needs into scalable AI capabilities and reusable platform components.
• Serve as a strategic advisor to senior leadership on AI platform direction, architectural decisions, and emerging technologies.
• Lead the design of a modular, secure, and scalable AI architecture that supports generative and agentic AI use cases across underwriting, claims, policy servicing, actuarial, finance, HR, IT and customer engagement.
• Define reference architectures, reusable components, and integration patterns for AI agents, orchestration frameworks, and LLM-based services.
• Ensure alignment with enterprise architecture, cloud strategy, and data platform capabilities.
• Lead a small, high-impact team of AI engineers and product managers responsible for building and enabling AI capabilities across the enterprise. Some of these members will work in matrix reporting relationships.
• Establish foundational practices, delivery models, and team culture as the function matures.
• Provide strategic direction, coaching, and prioritization to ensure delivery of high-value solutions.
• Evaluate and recommend enterprise-grade AI platforms, orchestration frameworks (e.g., LangChain, Semantic Kernel), vector databases, and agentic AI toolkits.
• Guide the development of a shared AI services layer (e.g., prompt libraries, RAG pipelines, agent orchestration) to accelerate delivery and reuse.
• Stay current with the evolving AI technology landscape and assess applicability to the insurance domain.
• Ability to review technical and business proposals and guide teams to land on optimal AI solutions
• Collaborate with the AI Governance team to ensure that AI solutions are designed and deployed in compliance with regulatory, ethical, and risk management standards.
• Contribute to the development of policies and frameworks for responsible AI, including transparency, explainability, and human oversight.
• Ensure that technology decisions support auditability, traceability, and model lifecycle management.
• Discern between Gen AI related risks, operational automation/business risks and evangelize the right adoption framework.
• Partner with enterprise architects, infrastructure teams, and applications teams ensure seamless integration of AI into existing systems and workflows.
• Partner with Corporate AI Leader to ensure business priorities are reflected in the implementation plans.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field; MBA or equivalent business education is a plus.
• 12+ years of experience in enterprise technology leadership roles, with at least 3 years focused on AI/automation strategy, architecture, or platform enablement.
• Strong understanding of Generative AI (LLMs, RAG, prompt engineering) and Agentic AI (multi-agent systems, autonomous workflows) from a platform and architecture perspective.
• Familiarity with enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI), orchestration frameworks, and cloud-native design.
• Strong understanding of modern application development frameworks and agile.
• Proficiency in MLOps practices and tools (CI/CD for ML, containerization, orchestrated model deployment), developing reproducible deployment pipelines.
• Proven experience leading cross-functional technology teams, including product managers and engineers.
• Strong ability to influence senior stakeholders and drive enterprise-wide alignment.
• Excellent communication and storytelling skills to articulate complex AI concepts to both technical and non-technical audiences.
Preferred:
• Experience in commercial or specialty insurance, financial services, or other regulated industries is strongly preferred.
• Experience with intelligent automation, digital workers, or AI-driven process orchestration in insurance operations.
• Familiarity with regulatory frameworks and ethical considerations for AI in financial services (e.g., NYDFS, NAIC, GDPR, AI Act).
• Participation in industry forums, standards bodies, or AI governance initiatives.
Company:
Berkley Technology Services offers networking, software development, UI/UX design, project management and IT shared services. Founded in 2001, the company is headquartered in Wilmington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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