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Ai Alignment Jobs in Connecticut (NOW HIRING)

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Build scalable, end-to-end AI and data solutions aligned with business goals * Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps * Design and maintain ...

Align AI and data initiatives with business goals and measurable value. * Establish standards for scalable and reusable AI and data capabilities. * Serve as a trusted advisor to technology and ...

Align AI and data initiatives with business goals and measurable value. * Establish standards for scalable and reusable AI and data capabilities. * Serve as a trusted advisor to technology and ...

Technical Program Manager Gen AI

Hartford, CT · On-site

$130K - $168K/yr

... 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 ...

Develop and align enterprise AI architecture on OCI, with a focus on generative AI capabilities and Oracle applications * Architect and deliver integrated AI solutions, including agentic workflows ...

Principal AI Architect

Stamford, CT · On-site

$141 - $222.20/hr

Establish technical vision and roadmap aligned with business objectives * Drive technical decision-making and architecture governance across AI teams * Partner with Product to translate business ...

Principal AI Architect

Hartford, CT · On-site

$141 - $222.20/hr

Establish technical vision and roadmap aligned with business objectives * Drive technical decision-making and architecture governance across AI teams * Partner with Product to translate business ...

Showing results 21-40

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 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 are popular job titles related to Ai Alignment jobs in Connecticut? For Ai Alignment jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Ai Alignment jobs? Cities in Connecticut with the most Ai Alignment job openings:
Infographic showing various Ai Alignment job openings in Connecticut as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 77% In-person, and 23% Remote job distribution.

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems