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Ai Rag Jobs in Marshfield, MA (NOW HIRING)

Lead AI Engineer

Quincy, MA ยท On-site

$180K - $280K/yr

Agentic AI solutions to automate operational processes (e.g., interpreting trouble tickets ... Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying ...

Senior AI Engineer

Boston, MA ยท On-site

$113K - $155K/yr

We're building at the bleeding edge of AI, blending deep engineering with practical product impact ... Tool fluency - comfortable with RAG, vector databases (e.g., Pinecone/Weaviate), workflow ...

Principal Software Engineer - AI

Boston, MA ยท On-site

$120K - $150K/yr

A core focus of this role is designing and building enterprise-grade AI assistants and automations using RAG and agentic AI techniques -software agents that can plan, coordinate tools, interact with ...

Senior AI Engineer

Boston, MA ยท On-site

$175K - $215K/yr

You'll build and iterate on LLM pipelines, RAG systems, and agentic workflows using Agno; optimize AI systems for accuracy, latency, and cost in a context where correctness matters; and collaborate ...

Principal Software Engineer - AI

Boston, MA ยท On-site

$120K - $150K/yr

A core focus of this role is designing and building enterprise-grade AI assistants and automations using RAG and agentic AI techniques -software agents that can plan, coordinate tools, interact with ...

Build Retrieval-Augmented Generation (RAG) pipelines to improve the quality of AI-generated responses. Collaborate with various stakeholders to integrate and deploy AI models into production ...

Architect and implement RAG systems to ground character responses in canonical knowledge, including ... The ability to communicate AI system behavior clearly to creative, brand, and non-technical ...

AI Solutions Architect (Remote)

Boston, MA ยท On-site +1

$68.50 - $90.25/hr

Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks * Define approaches for model selection ...

Establish governance approaches for emerging AI technologies including generative AI, AI agents, knowledge graphs, and retrieval-augmented generation (RAG) solutions. * Ensure appropriate oversight ...

Develop and optimize Retrieval-Augmented Generation (RAG) systems, including embeddings, vector search, retrieval pipelines, chunking strategies, and relevance tuning. * Build multimodal AI workflows ...

Ideate, design, prototype, and develop solutions such as multi-agent workflows, RAG-based ... Champion AI-driven development practices across the team - using AI coding assistants and agentic ...

Senior Software Engineer, AI Platforms

Boston, MA ยท On-site

$133K - $175K/yr

Collaborate with data engineers to integrate AI/ML models and RAG systems into production. * Implement prompt engineering and optimization strategies to improve intelligent assistant interactions and ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Senior AI Engineer

Boston, MA ยท Hybrid

$113K - $155K/yr

Integrates leading-edge LLMs, including GPT-4o and Claude, into production workflows and builds optimized RAG pipelines using Azure AI Search to keep our AI products at the forefront of the industry.

Showing results 21-40

Ai Rag information

See Marshfield, MA salary details

$33K

$60.1K

$86.2K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Marshfield, MA is $60,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $67,100.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Ai Rag jobs in Marshfield, MA look for? The top searched job categories for Ai Rag jobs in Marshfield, MA are:
What cities near Marshfield, MA are hiring for Ai Rag jobs? Cities near Marshfield, MA with the most Ai Rag job openings:

AI Engineering Director

Brown Brothers Harriman & Co.

Boston, MA โ€ข On-site

Full-time

Re-posted 18 days ago


Job description

At BBH, Partnership is more than a form of ownership-it's our approach to business and relationships. We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what's next, this is the right place to build a fulfilling career.

About Us

We are on a mission to rebuild how financial services firms create, manage, and execute their data integrations and transformations. Today that process stretches across multiple teams, tools, and handoffs - slow to build, expensive to maintain, and nearly impossible to change. We collapse it into a single AI-native platform that business users can operate without writing a ticket, while engineering teams retain the governance and security controls they require. We're growing our founding team now.

About the Role

As our AI Engineering Director, you'll help execute the AI strategy for the platform - facilitating how AI is used to help financial services create, configure, and optimize their data integrations and transformations. The AI layer is what turns a capable platform into a genuinely new category of product.

You'll work with a team of AI engineers, remain deeply hands-on technically, and work closely with the Head of Engineering to ensure the AI layer integrates cleanly with the core platform. You'll help the organization take the decisions that matter - LLM selection, agentic architecture, RAG design, evaluation frameworks, and the interaction model that defines what "AI-native" actually means when applied to financial data workflows.

The challenge here is specific: AI outputs in a financial services context need to be accurate, explainable, and auditable. Generic LLM approaches are not sufficient. You'll build something that is both intelligent and trustworthy.

Responsibilities

AI Strategy & Architecture

  • Execute the AI strategy - LLM selection and management, agentic application architecture, RAG system design, prompt engineering standards, and evaluation frameworks
  • Help design and implement the core AI capabilities: transformation generation from natural language, integration configuration assistance, data quality detection, and intelligent validation
  • Determine where AI adds genuine value vs. where deterministic logic is more appropriate - this judgment is critical for a financial services product
  • Set technical standards and foster a culture of experimentation grounded in production discipline
  • Partner with the Head of Engineering and Head of Design on cross-functional AI feature development

Hands-On Development

  • Remain deeply technical - architect and implement core AI features
  • Build and evolve the transformation generation engine, integration suggestion system, and intelligent validation layer
  • Design the AI pipeline architecture that operates reliably inside Agno-orchestrated workflows

Model Operations

  • Establish evaluation, monitoring, and continuous improvement practices for production AI systems
  • Build frameworks to measure AI output quality - accuracy, consistency, and user acceptance rates
  • Implement production monitoring and model drift detection

Responsible AI

  • Define responsible AI practices appropriate for financial services - accuracy thresholds, auditability requirements, and appropriate human-in-the-loop controls
  • Ensure AI outputs are explainable to both technical and non-technical users

Requirements

Experience

  • 3+ years AI/ML engineering; 5+ years in a product development environment
  • Player-coach track record - has led teams while remaining deeply hands-on

Technical Skills

  • Expert Python proficiency
  • Deep production LLM experience - RAG pipelines, prompt engineering, agentic systems, evaluation frameworks
  • Production experience with agentic frameworks - Agno strongly preferred; LangChain, LlamaIndex, or comparable also considered
  • Workflow orchestration experience (Temporal, Prefect, or Airflow) - AI components must operate reliably within platform workflows
  • Azure (primary) or AWS
  • Vector databases and embedding systems (Pinecone, Weaviate, pgvector, or comparable)
  • Active daily user of AI coding assistants - this is a cultural requirement, not just a preference

Nice to Have

  • Financial services, fintech, or regulated industry background - understanding of what accuracy and auditability mean in a compliance-sensitive context
  • MLOps and model deployment at scale
  • Experience fine-tuning open-source LLMs for domain-specific tasks
  • Publications, conference talks, or open-source AI contributions
  • Experience building AI features for data tools, analytics platforms, or enterprise SaaS products

Why Join Us

Category-defining work - AI-native data integration and transformation for financial services doesn't exist yet. You'll help build it from the ground up.

Enterprise backing, startup speed - The credibility, domain expertise, and runway of an established enterprise combined with the pace of a startup. This is an unusual opportunity.

Foundational team - You'll be among the first in-house hires. You'll set architecture, culture, and standards - not inherit them.

Competitive package - Market-rate salary and comprehensive benefits. Equity is available for select roles. Poland-based team members receive private healthcare (Medicover or Luxmed), Multisport card, home office setup budget, and professional development budget.

Salary Range

MA: $210,000 - $260,000 base salary + target annual bonus

NY/NJ: $210,000 - $260,000 base salary + target annual bonus

BBH and its affiliates' compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck-providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being.


We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn't followed a traditional path, includes alternative experiences, or doesn't meet every qualification or skill listed in the job description, please do go ahead and apply.

About BBH:

Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us.

We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development-so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice-creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another.

We believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often-pushing the boundaries of innovation. As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours.

Go to BBH.com to learn more about our rewards and benefits, philanthropy, approach to sustainability or how we support you to thrive personally, physically and financially.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.