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Associates Degree In Artificial Intelligence Jobs in Springfield, MA

... in artificial intelligence, machine learning, or generative artificial intelligence solution ... Bachelor's degree or higher in Computer Science, Information Technology, Software Engineering, or a ...

Master's degree from a science, technology, engineering, or mathematics-designated program * One or more certifications in artificial intelligence, machine learning, Amazon Web Services, Microsoft ...

Lead AI and Data Science Engineer II

Hartford, CT · On-site

$103K - $136K/yr

... artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure. Qualifications Required: * Graduate degree in Applied Statistics ...

Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional ... Experience applying artificial intelligence (AI), machine learning (ML), and advanced data ...

Associate's degree may substitute for 2 years of experience. * Bachelor's degree may substitute for ... Artificial Intelligence and Machine Learning (AI/ML) * Demonstrated experience of advanced ...

AI Security Architect

Hartford, CT

$65.50 - $84.75/hr

Master's degree preferred. * 7+ years of progressive experience as an architect, with at least 3 years experience in artificial intelligence and generative AI. * 5+ years of business or IT experience ...

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Associates Degree In Artificial Intelligence information

What can I do with an associate's degree in artificial intelligence?

An associate's degree in artificial intelligence prepares individuals for entry-level roles such as AI technician, data analyst, or machine learning assistant. These positions often involve working with programming languages like Python, using AI tools, and supporting AI development in various industries. Additional certifications and hands-on experience can enhance job prospects in this field.

What types of entry-level roles are available to graduates with an associate's degree in artificial intelligence?

Graduates with an Associate's Degree in Artificial Intelligence often find entry-level opportunities as data technicians, junior AI analysts, or machine learning support specialists. In these roles, you’ll typically work under the guidance of senior data scientists or engineers, assisting with data preprocessing, basic model training, and the maintenance of AI systems. You’ll collaborate closely with software developers, IT staff, and sometimes clients to support larger AI projects. These roles offer valuable hands-on experience and can serve as a stepping stone toward more advanced positions or further education in the field.

Is an associate's degree in artificial intelligence worth it?

An associate's degree in artificial intelligence provides foundational knowledge in programming, data analysis, and machine learning, which can help entry-level positions or internships in AI-related fields. However, many roles in AI often require or prefer a bachelor's degree or higher, so additional education or experience may be necessary for advanced positions.

What are the key skills and qualifications needed to thrive with an associate's degree in artificial intelligence?

To thrive with an Associate's Degree in Artificial Intelligence, you need foundational knowledge in programming (such as Python), basic mathematics, and understanding of AI concepts. Familiarity with tools like TensorFlow, machine learning libraries, and data analysis platforms is typically expected. Strong problem-solving skills, adaptability, and teamwork are valuable soft skills for this field. These skills and qualities are essential for efficiently supporting AI projects, collaborating with teams, and adapting to rapidly evolving technological advancements.

What is the difference between Associates Degree In Artificial Intelligence vs Data Analyst?

AspectAssociates Degree In Artificial IntelligenceData Analyst
Required CredentialsAssociate's degree in AI or related fieldAssociate's or Bachelor's degree in Data Science, Statistics, or related field
Work EnvironmentTech companies, research labs, AI development teamsBusiness, finance, healthcare, and marketing sectors
Industry UsageAI development, machine learning projects, automationData interpretation, reporting, and decision support

While both roles require analytical skills, an Associates Degree In Artificial Intelligence focuses on AI technologies and machine learning, often in tech environments. In contrast, a Data Analyst emphasizes data interpretation and reporting across various industries. Your choice depends on whether you want to specialize in AI development or data-driven decision-making.

What is an associate's degree in artificial intelligence?

An Associate's Degree in Artificial Intelligence is a two-year undergraduate program that introduces students to the fundamentals of AI, including machine learning, data analysis, and computer programming. The curriculum typically covers subjects such as Python programming, statistics, algorithms, and basic AI concepts. Graduates are prepared for entry-level positions in technology fields or for further study in bachelor's programs related to computer science or artificial intelligence.
What are popular job titles related to Associates Degree In Artificial Intelligence jobs in Springfield, MA? For Associates Degree In Artificial Intelligence jobs in Springfield, MA, the most frequently searched job titles are:
What cities near Springfield, MA are hiring for Associates Degree In Artificial Intelligence jobs? Cities near Springfield, MA with the most Associates Degree In Artificial Intelligence job openings:

Lead Director - Artificial Intelligence Solutions Engineering and Delivery

Oak St. Health

Hartford, CT • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

Lead Director - Artificial Intelligence Solutions Engineering and Delivery

CVS Health is seeking a Lead Director - Artificial Intelligence Solutions Engineering and Delivery to lead the development and delivery of Artificial Intelligence and Machine Learning solutions that drive measurable business outcomes across the enterprise.

Within the Solutions Engineering and Infrastructure organization, this leader will be responsible for identifying high-value use cases, translating business needs into scalable solutions, and accelerating adoption of Artificial Intelligence capabilities. This role will partner with Product, Architecture, Cybersecurity, Infrastructure, Observability, Data, and Business teams to establish delivery frameworks, engineering standards, and reusable implementation patterns that improve speed, quality, and consistency across solution delivery.

Reporting to the Executive Director, this leader will oversee teams responsible for solution engineering, technical product management, and deployment of production Artificial Intelligence capabilities while ensuring alignment to enterprise technology, security, governance, and operational standards.

This is a U.S.-based remote position. Candidates must reside within the United States.

Primary Duties and Responsibilities
  • Lead the end-to-end delivery of enterprise Artificial Intelligence and Machine Learning products, from opportunity identification and solution design through proof of concept, production deployment, enterprise adoption, and value realization, while delivering measurable business outcomes aligned to strategic objectives.
  • Define and operationalize solution engineering, architecture, and delivery standards for AI-enabled products, establishing scalable, secure, resilient, and reusable implementation patterns aligned with enterprise technology standards, governance requirements, and engineering best practices.
  • Partner with Product, Architecture, Cybersecurity, Infrastructure, Observability, Data, and Business leaders to identify high-value use cases, prioritize investments, define success metrics, and accelerate adoption of Artificial Intelligence capabilities across the enterprise.
  • Manage technology investments, strategic portfolios, budgets, vendor relationships, resource planning, and governance processes, providing executive visibility into delivery performance, business value, risks, dependencies, financial outcomes, and operational readiness.
  • Build, lead, and develop high-performing teams of Technical Product Managers, Solutions Engineers, and Forward Deployment Engineers while fostering a culture of innovation, accountability, operational excellence, continuous learning, inclusion, and customer-focused delivery.
Required Qualifications
  • 10+ years of experience developing enterprise software products and platforms utilizing Artificial Intelligence, Machine Learning, and modern software engineering practices.
  • 10+ years of experience delivering enterprise-scale technology solutions within complex, highly regulated environments.
  • 10+ years of experience designing, implementing, and operating cloud-native solutions across Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) environments.
  • 7+ years of experience building, leading, and scaling product management, software engineering, or solutions engineering organizations responsible for enterprise technology delivery and transformation.
  • 5+ years of experience building and deploying Artificial Intelligence and Machine Learning solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), GraphRAG, agentic architectures, observability, model monitoring, and production AI operational practices.
Preferred Qualifications
  • Experience delivering Artificial Intelligence, Machine Learning, analytics, or digital solutions within healthcare, payer, retail health, pharmacy, financial services, technology, or other highly regulated industries.
  • Experience translating business requirements into reusable AI products, platforms, and solution patterns that scale across multiple teams, business domains, and enterprise functions.
  • Demonstrated ability to serve as a trusted advisor to senior technology and business leaders, translating complex technical concepts, risks, tradeoffs, and opportunities into actionable recommendations and measurable business outcomes.
  • Experience managing strategic technology portfolios, investments, operating models, vendor relationships, financial accountability, and executive stakeholder engagement within large enterprise environments.
  • Strong executive communication, presentation, and influencing skills, with demonstrated thought leadership in Artificial Intelligence, Machine Learning, cloud technologies, AI-assisted software delivery, modern engineering practices, and enterprise transformation.
Education

Bachelor's degree from an accredited university or equivalent work experience (High School Diploma/GED plus 4 years of relevant experience).

Business Overview

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric healthcare for a rapidly changing world. Anchored in our brand with heart at its center our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make healthcare more personal, convenient, and affordable.

We strive to promote and sustain a culture of diversity, inclusion, and belonging every day. CVS Health is an affirmative action employer and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active duty, veterans, reservists, National Guard members, and military spouses) to apply for CVS Health job opportunities.

Pay Range: $144,200.00 - $288,400.00

Our people fuel our future. Our teams reflect the customers, patients, members, and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.