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Foundation Ai Jobs (NOW HIRING)

Product Marketing Manager

Houston, TX ยท Remote

$157K/yr

About Us Foundation AI is the only AI-native document intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI ...

They are seeking a Senior AI Researcher to join their Foundation AI team, where the primary focus will be on building multimodal foundation models that enhance personalized health experiences for ...

Product Marketing Manager

Houston, TX ยท On-site +1

$147K/yr

About Us Foundation AI is the only AI-native document intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI ...

Foundation AI is the only AI-native document intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes ...

Foundation AI is the only AI-native document intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes ...

Foundation AI is the only AI-native document intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes ...

They are seeking a Senior AI Researcher to join their Foundation AI team, focusing on building multimodal foundation models that enhance health and performance experiences. The role involves research ...

We are seeking a Senior AI Researcher to join our Foundation AI team to drive the research, development, and deployment of large-scale multimodal models that integrate various data types to enhance ...

We are seeking a Staff Machine Learning Engineer to join our Foundation AI team, where you will drive the research, development, and deployment of large-scale multimodal models that integrate various ...

They are seeking a Staff Machine Learning Engineer to join their Foundation AI team, where the role involves driving the research, development, and deployment of large-scale multimodal models that ...

We are seeking a Staff AI/ML Researcher to join our Foundation AI team, responsible for driving the research, development, and deployment of large-scale multimodal models that enhance intelligent ...

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Foundation Ai information

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How much do foundation ai jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for foundation ai in the United States is $41.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $52.64 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

In the context of Foundation AI, roles such as AI specialist, data scientist, or machine learning engineer can potentially earn $10,000 or more per month through skills in programming, data analysis, and AI tools. These positions often require strong technical expertise, experience, and sometimes certifications, but may not always require a traditional degree.

What are the key skills and qualifications needed to thrive as a Foundation AI Engineer, and why are they important?

To thrive as a Foundation AI Engineer, you need a strong background in computer science, machine learning, and deep learning, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and experience with large language models are essential, along with certifications in AI or data science being advantageous. Strong problem-solving skills, adaptability, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI systems, collaborating across teams, and driving innovation in complex, evolving environments.

What are some common challenges faced by professionals working with Foundation AI models, and how can they be addressed?

Professionals working with Foundation AI models often encounter challenges such as managing large-scale datasets, ensuring model fairness and transparency, and keeping up with rapid advancements in AI research. Addressing these challenges typically involves collaborating closely with data engineers, domain experts, and ethics teams, as well as actively participating in ongoing training and knowledge sharing. Staying adaptable and continuously learning about new tools and best practices is key to success in this dynamic and evolving field.

Is Foundation AI a good company?

Foundation AI is a company focused on developing artificial intelligence solutions, and employment opportunities may involve roles in AI research, data analysis, or software development. The company's reputation and work environment can vary based on individual experiences and industry reviews, so researching employee feedback and company culture is recommended for job seekers.

What are Foundation AI jobs?

Foundation AI jobs involve working with foundational artificial intelligence models that serve as the basis for a wide range of applications, such as natural language processing and computer vision. Professionals in these roles may focus on developing, training, fine-tuning, or deploying large-scale AI models like GPT or BERT. These jobs typically require expertise in machine learning, deep learning, and software engineering, and can be found in tech companies, research labs, and startups. The work aims to push the boundaries of what AI systems can do, enabling new technologies and smarter applications.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

What jobs pay 2000 a day?

High-paying jobs that can earn $2,000 or more per day include specialized roles such as senior software engineers, surgeons, corporate lawyers, and investment bankers. These positions typically require advanced skills, extensive experience, and often involve high-pressure environments or significant responsibilities.

What is the difference between Foundation Ai vs Data Scientist?

AspectFoundation AiData Scientist
Required CredentialsTypically requires a background in AI, machine learning, or related fields; certifications in AI tools are commonRequires a degree in data science, statistics, or related fields; certifications in data analysis or programming are beneficial
Work EnvironmentOften works in AI development teams, research labs, or tech companies focusing on AI solutionsWorks in data analysis, modeling, and insights generation across various industries
Employer & Industry UsageUsed by AI-focused companies, startups, and research institutionsEmployed across finance, healthcare, tech, and other sectors requiring data analysis

Foundation Ai professionals focus on developing and implementing AI models, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Foundation Ai roles are more specialized in AI development, whereas Data Scientists have a broader focus on data analysis and interpretation.

More about Foundation Ai jobs
What cities are hiring for Foundation Ai jobs? Cities with the most Foundation Ai job openings:
What states have the most Foundation Ai jobs? States with the most job openings for Foundation Ai jobs include:
What job categories do people searching Foundation Ai jobs look for? The top searched job categories for Foundation Ai jobs are:
Infographic showing various Foundation Ai job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 33% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $87,093 per year, or $41.9 per hour.
Legal Operations AI Solutions Architect

Legal Operations AI Solutions Architect

Foundation AI

Houston, TX โ€ข On-site

Full-time

Posted 23 days ago


Job description

About US:

Foundation AI revolutionizes how law firms manage incoming documents and case files. Our platform automates manual, document-intensive workflows by capturing, classifying, extracting, and integrating information into existing case management systems so legal teams can focus on client outcomes instead of administrative work. Our solutions are especially impactful in high-volume, fast-moving practices such as personal injury, where speed, accuracy, and workflow efficiency matter at every stage of a case. Top firms nationwide trust Foundation AI to reduce manual work, improve accuracy, and create more efficient legal operations.

Our Culture & Commitmentย 

We are a growing, mission-driven team passionate about using AI to bring transformative efficiency to the legal industry. We embrace diversity and inclusion, encourage open dialogue, and value a growth mindset. At Foundation AI, youโ€™ll be supported by teammates who value innovation, curiosity, accountability, and continuous learning.

ย 

Job Overview:

Foundation AI is seeking a Legal Operations AI Solutions Architect to serve as the internal domain authority for personal injury and adjacent domain workflows, documents, and operational nuances. In this role, you will map real-world personal injury and adjacent domain processes, define business rules and exception handling, curate and validate training data for AI models, help develop cutting edge AI products that drive operational and business value for law firms, and ensure our solutions reflect how firms actually operate. You will partner closely with Product, Engineering, Data Science/AI, Implementation, Customer Success, and Sales Engineering to drive accuracy, usability, and adoption.

ย 

Key Responsibilities:

PI Domain Leadership
  • Serve as the internal expert on PI workflows: intake, case setup, medical records and bills, treatment tracking, demand prep, negotiation, litigation support, settlement, liens/subrogation, and post-settlement.
  • Define and maintain document ontologies, taxonomies, nomenclature, and operating playbooks for firms that reflect jurisdictional and practice-segment model and functional variants.
  • Translate firm processes into clear business rules, routing logic, and exception handling.

Customer Discovery and Research

  • Conduct interviews, shadowing, and workflow observations with attorneys, paralegals, case managers, intake teams, and operations leaders.
  • Research, document, and synthesize state, jurisdictional, and practice area specific processes, nuances, and rules (including those of adjacent practice areas like employment, immigration, and bankruptcy)
  • Produce journey maps, SOPs, process flows, and use cases that inform product and implementation.
  • Convert customer pain points into structured Product Requirement Documents and success criteria.
  • Coordinate with Product Owners, Internal Stakeholders, and Developers to ensure alignment on expectations and outcomes.

AI, Data, and Workflow Automation

  • Identify high-value document classifications and automation opportunities (e.g., medical records, bills, correspondence, insurance documents, pleadings, authorizations, settlement materials).
  • Create standard model expectations for classification and extraction, and review output to ensure customer expectations.
  • Evaluate AI outputs, document edge cases, and provide actionable feedback to AI/engineering teams.

Solution Design and Integrations

  • Inform requirements for integrations with leading practice management systems (e.g., Filevine, Litify, Needles, SmartAdvocate, CASEpeer, Clio).
  • Define configuration templates, queues, SLAs, and routing rules aligned to consumer litigation firm operations.
  • Ensure integrations and data mappings account for jurisdiction-specific workflows.
  • Advise on insurance-facing workflows, claim tracking, status updates, and external document exchanges.
  • Inform expansion opportunities within existing integrations to identify growth opportunities to improve customer value.

Quality Assurance and UAT

  • Execute UAT for new features, models, and workflows.
  • Validate domain correctness and usability to ensure alignment with real PI firm needs.
  • Monitor post-release accuracy and user feedback; triage issues with reproducible examples.
  • โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹Connect with customers to validate UAT/Release functions for current and future product releases.

Internal Enablement and Go-To-Market Support

  • Create reference guides, field playbooks, and enablement content for internal teams.
  • Support demos, customer success training, and customer education as the PI domain voice.
  • Provide support to Delivery and Customer Success to resolve ambiguity in workflows and practice specific rollouts.
  • โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹Contribute thought leadership content (webinars, articles, panels) on PI operations and AI.โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹

Continuous Improvementโ€‹โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹

  • Use customer feedback, analytics, and operational data to propose enhancements.
  • โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹โ€‹Maintain the canonical knowledge base for PI workflows, documents, and terminology.

Required Qualifications

  • 4+ years of hands-on experience in Personal Injury law or legal operations within a PI firm, or supporting PI firms through legal technology/operations.
  • Deep understanding of the PI case lifecycle and common documents, terminology, and roles.
  • Working knowledge of insurance carrier interactions, claims documentation, and adjuster workflows.
  • Demonstrated experience documenting workflows and SOPs, and translating them into structured requirements or test cases.
  • Deep familiarity with one or more PI practice management/case management systems: Filevine, Litify, Neos, SmartAdvocate, CASEpeer, Clio, or similar.
  • Excellent written and verbal communication skills; ability to educate technical and non-technical stakeholders.
  • Strong organization, prioritization, and follow-through in a fast-moving, ambiguous environment.
  • Demonstrated, hands-on experience with modern AI tools and assistants to create tools or automations in legal operations (e.g., OpenAI, Claude; Copilot; Anti-Gravity or other AI Tools).

Preferred Qualifications

  • Experience with AI-enabled document processing, intelligent classification, data extraction, or workflow automation.
  • Exposure to API-driven integrations and data mapping between systems.
  • Experience facilitating training, UAT, or internal enablement.
  • Familiarity with agile software delivery practices.

Core Competencies

  • Deep customer empathy for PI law firm users
  • Clear, structured thinking and domain rigor
  • Strong cross-functional collaboration
  • Bias toward clarity, action, and measurable outcomes
  • Comfort with ambiguity, iteration, and rapid change
  • Ownership and accountability

Company Values

  • Think Like a Customer
  • Do It Right
  • Own Your Impact
  • Keep Improving
  • Win Together

What We Offer

  • Opportunity to shape AI-powered solutions transforming PI legal operations
  • Collaborative, mission-driven, and innovative team environment
  • Competitive compensation and benefits package
  • A culture that values personal and professional growth
  • Visible impact bringing real industry expertise into product and customer outcomes

Equal Opportunity Employer At Foundation AI, we are committed to creating an inclusive and diverse workplace. We value equal opportunity and affirmative action principles, giving everyone an equal chance to succeed. We are dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Upholding these values and adhering to applicable laws is paramount to us.


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