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Ai Rag Jobs in Fall River, MA (NOW HIRING)

Samsonite

Director, Artificial Intelligence

Mansfield, MA · On-site

$190K - $210K/yr

Hands-on expertise in machine learning, NLP, and Generative AI - including LLMs, RAG, prompt engineering, AI agents, model evaluation, AI workflow orchestration, and responsible AI. * Direct ...

Citizens Bank

Principal Software Engineer

Johnston, RI · On-site

$135K - $182K/yr

Apply advanced AI solution patterns including: * Retrieval Augmented Generation (RAG) * Prompt engineering * Context management * Agent orchestration * Tool integration * Ensure secure, compliant ...

Citizens

Principal Software Engineer

Johnston, RI · On-site +1

$135K - $182K/yr

Apply advanced AI solution patterns including: * Retrieval Augmented Generation (RAG) * Prompt engineering * Context management * Agent orchestration * Tool integration * Ensure secure, compliant ...

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All JobsAi Rag JobsAi Rag Jobs in Fall River, MA

Ai Rag information

See Fall River, MA salary details

$32.1K

$58.5K

$83.8K

How much do ai rag jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai rag in Fall River, MA is $58,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $65,200.00 per year, depending on experience, location, and employer.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What job categories do people searching Ai Rag jobs in Fall River, MA look for?

The top searched job categories for Ai Rag jobs in Fall River, MA are:

What cities near Fall River, MA are hiring for Ai Rag jobs?

Cities near Fall River, MA with the most Ai Rag job openings:

Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Fall River, MA as of June 2026, with employment types broken down into 9% Full Time, 78% Part Time, and 13% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $58,469 per year, or $28.1 per hour.

Director, Artificial Intelligence

Mansfield, MA • On-site

Samsonite
Manufacturing • 501 - 1,000 employees
Learn more about Samsoniteexternal

$190K - $210K/yr

Full-time

Re-posted 2 days ago

Samsonite rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description


At Samsonite Group, we are building the next generation of AI-enabled capabilities to elevate consumer experience, sharpen operations, and scale innovation across a global, multi-brand portfolio. We are seeking a Director of AI to help shape and accelerate this transformation - a role at the intersection of applied AI, enterprise platform delivery, and global business transformation, translating enterprise strategy into shipped outcomes.
Reporting to the CIO, the Director is accountable for execution and measurable business impact. A successful candidate will partner closely with the regional IT leaders, business function heads, and AI champions to ensure consistent delivery across our multi-brand, multi-region portfolio. This is not a traditional engineering role and not a purely strategic role - it is a high-leverage delivery leadership role for someone who can identify the right problems, shape AI-enabled solutions, drive pilots, measure value, and help scale what works.
AI Portfolio Delivery & Value Realization
  • Execute the enterprise AI roadmap across tablestakes, transformational, and disruptive opportunity tiers; own end-to-end delivery from prototype through production.
  • Drive rapid experimentation cycles and accelerate time-to-value, ensuring disciplined progression from pilot to scaled deployment without bottlenecks.
  • Own definition, tracking, and reporting of ROI and business KPIs; tie initiatives directly to revenue growth, margin improvement, cost efficiency, or working capital optimization.
  • Maintain a disciplined backlog of AI use cases across consumer experience, supply chain, retail and eCommerce, marketing, finance, and operations.

AI Delivery & Platform Integration
  • Lead the development, deployment, and scaling of AI/ML and GenAI solutions, including consumer-facing experiences (conversational assistants, agentic commerce, personalization) and AI-driven marketing and discovery capabilities.
  • Work with Digital and Data Strategy team to lay solid foundation for Samsonite's AI journey
  • Drive integration of AI capabilities into core enterprise platforms (eCommerce, CRM, CDP, SAP, O365) and establish scalable MLOps practices for lifecycle management, monitoring, and cost/performance optimization.
  • Operate the AI technology stack day-to-day and drive strategic platform and ecosystem decisions in partnership with IT leadership (hyperscalers, GenAI platforms, agentic commerce platforms, enterprise SaaS).

AI Governance & Compliance Execution
  • Operate the enterprise AI governance framework; ensure compliance with EU AI Act, GDPR, SOX/GRC, and equivalent regional regulations, with support from regional teams.
  • Maintain audit-ready model documentation, risk assessments, and validation evidence in coordination with Legal, Compliance, and Internal Audit.
  • Apply readiness tests before promoting AI from pilot to production, particularly for autonomous and agentic deployments; flag governance gaps to the CIO.

Cross-Regional Coordination
  • Partner with regional IT and business leaders across Americas, EMEA, and APAC to deliver AI use cases tuned to local market and regulatory needs.
  • Coordinate with regional AI roles and adoption leads to ensure consistent execution; scale proven regional use cases group-wide.

AI Adoption & Enablement
  • Build, lead, and develop the global AI CoE; create reusable patterns, accelerators, and documentation to compound delivery velocity.
  • Operate enterprise AI literacy and upskilling programs (tiered by user proficiency) and a network of AI champions across regions and functions, in partnership with HR.
  • Lead group-wide activation and adoption of enterprise AI tooling (copilots, GenAI assistants, productivity AI platforms) and maintain a shared inventory of approved tools.

Vendor & Budget Execution
  • Manage day-to-day relationships with AI vendors, hyperscalers, and delivery partners; execute against the approved AI budget and surface variance and reallocation needs.
  • Support build-vs-buy assessments with delivery feasibility, effort estimates, and operating cost modeling.

Stakeholder Reporting
  • Provide regular delivery updates to the CIO and prepare materials for executive and Board reporting; present to leadership as needed.
  • Translate technical progress into clear business outcomes for non-technical stakeholders across functions and regions.

Qualifications
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
  • 8-12 years of progressive technology experience, including 4+ years leading AI/ML delivery teams.
  • Demonstrated track record shipping AI and GenAI solutions into production at scale, with quantifiable business outcomes.
  • Hands-on expertise in machine learning, NLP, and Generative AI - including LLMs, RAG, prompt engineering, AI agents, model evaluation, AI workflow orchestration, and responsible AI.
  • Direct experience with major cloud platforms (AWS, Azure, GCP); comfort using AI tools, copilots, and agentic workflows to accelerate delivery.
  • Experience leading distributed delivery teams in matrixed, multi-region organizations.
  • Working knowledge of AI governance, ethics, and regulatory frameworks (EU AI Act, GDPR, and emerging US/APAC regulations).

Preferred Skills and Experience
  • Global retail, consumer goods, fashion, or omnichannel environments - ideally in a multi-brand portfolio.
  • Building or scaling consumer-facing AI experiences (conversational assistants, agentic commerce, personalization, recommendation systems).
  • AI-driven marketing capabilities - content/creative generation, AI-led advertising, and AI-driven discovery and search optimization.
  • Activating enterprise AI tooling and copilots at scale across a global workforce.
  • Operating within or alongside large-scale ERP or digital transformation programs (e.g., SAP S/4HANA migrations).
  • Thinks like a product leader, delivers like an engineering leader, and communicates like a transformation lead.
  • Is deeply curious about AI but pragmatic about deploying it in real enterprise workflows.
  • Is comfortable with ambiguity and creates structure where none exists.
  • Has strong judgment about when to use AI, when not to use AI, and how to evaluate AI responsibly.
  • Influences without authority and aligns stakeholders across business, IT, compliance, and operations.

About Us
Who we are:
Samsonite is the worldwide leader in superior travel bags, luggage, and accessories combining notable style with the latest design technology and the utmost attention to quality and durability. For more than 100 years, Samsonite has leveraged its rich heritage to create unparalleled products that fulfill the travel lifestyle needs of conscious movers everywhere. With a portfolio of brands including Samsonite, Tumi, American Tourister, High Sierra, Gregory, Hartmann, and Lipault Paris, our products are sold in over 100 countries in North America, Asia, Europe and Latin America through our company-operated retail store, websites and a variety of retail partners.
About the Team
Why you'll love working here:
  • Our employees matter. As a people-focused business, we work hard to provide meaningful rewards and development opportunities for our employees, recognizing performance, and creating a supportive working environment for them, wherever they are based.
  • Vibrant culture. We are committed to a diverse and rich culture, welcoming people from all walks of life. Our long-standing commitment to culture and inclusion empowers us to bring our authentic selves and unique differences to work every day.
  • Socially responsible. We want to minimize our products' impact on the environment and help create positive journeys worldwide. We do this by creating the best products using the most sustainable and innovative materials, methods, and models.

What we value:
At Samsonite, we do more than create the bags that move with our consumer, we inspire and celebrate the moments that move them. We believe we have a responsibility to the world in how we operate, the products we sell, the communities where we live and work, and how we treat the people we employ. We're as diverse as travel itself, and like travel, your journey with Samsonite presents the opportunity to be a part of something bigger and explore your passions. This is why we offer various paths for professionals and celebrate the knowledge and skills they bring to our team. We are committed to a respectful workplace that allows our team members to bring their best selves to the workplace daily.
Samsonite is an equal opportunity employer and is committed to promoting and maintaining a work environment in which all applicants, associates, customers, and other individuals are treated with dignity and respect free from unlawful harassment, discrimination, or retaliation.

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