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Proper Ai Jobs (NOW HIRING)

AI Solution Architect

Saint Paul, MN

$63.75 - $84/hr

Define integration patterns that maintain proper separation between: * AI reasoning and intelligence layers * Workflow orchestration platforms * Business applications * Data services * Systems of ...

AI Solution Architect

Saint Paul, MN · On-site

$63.75 - $84/hr

Define integration patterns that maintain proper separation between: * AI reasoning and intelligence layers * Workflow orchestration platforms * Business applications * Data services * Systems of ...

... proper access controls and data boundaries. • Translate business processes into structured prompts, conversation flows, and AI-driven workflows that provide measurable value to end users ...

AI Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) 3+ years of experience of analytical methods and their proper application 3+ years of experience using AI ...

Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) 3+ years of experience of analytical methods and their proper application 3+ years of experience using AI ...

... and proper handling of confidential and regulated data. • Support application lifecycle ... AI-assisted software development tools and modern coding assistant workflows. • Experience ...

Audit AI system usage, permissions, identities, and administrative activity to help ensure compliance, traceability, and proper governance. * Coordinate with internal technology teams, business units ...

Evaluate and structure data sources (e.g., SharePoint, Teams) for use in AI-driven tools while maintaining proper access controls and data boundaries. * Translate business processes into structured ...

Evaluate and structure data sources (e.g., SharePoint, Teams) for use in AI-driven tools while maintaining proper access controls and data boundaries. * Translate business processes into structured ...

Evaluate and structure data sources (e.g., SharePoint, Teams) for use in AI-driven tools while maintaining proper access controls and data boundaries. * Translate business processes into structured ...

Evaluate and structure data sources (e.g., SharePoint, Teams) for use in AI-driven tools while maintaining proper access controls and data boundaries. * Translate business processes into structured ...

... proper handling of confidential and regulated data. · Support application lifecycle activities ... AI-assisted software development tools and modern coding assistant workflows. · Experience ...

... proper guardrails and evaluation mechanisms. • Strong understanding of AI-assisted development tooling and productivity optimization. • Experience designing multi-step reasoning workflows and ...

Role The AI Team at Vivodyne tackles some of the hardest and most interesting challenges in science ... Scientific Rigor & Leadership - Uphold scientific excellence through peer reviews, proper ...

We are seeking an AI Platform Engineer who thrives in a high-ownership environment and is ... proper access controls, credential rotation, and security best practices across environments.

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Proper Ai information

How does working in a Proper AI role typically involve collaboration with cross-functional teams?

Professionals in Proper AI roles often collaborate closely with data engineers, software developers, product managers, and business analysts to ensure AI solutions are effectively integrated into products and business processes. Regular meetings and brainstorming sessions help align AI initiatives with organizational goals and user needs. This collaborative environment fosters innovation, requires strong communication skills, and provides opportunities to learn from diverse perspectives within the company.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and sometimes stock options or bonuses.

What are the best AI jobs right now?

The most in-demand AI jobs include machine learning engineer, data scientist, AI research scientist, and NLP engineer. These roles typically require strong programming skills in Python or R, experience with deep learning frameworks like TensorFlow or PyTorch, and a background in mathematics or computer science. They often offer competitive salaries and opportunities in industries such as technology, healthcare, finance, and autonomous systems.

Which 3 jobs will survive AI?

Proper AI professionals, data scientists, and AI ethics specialists are likely to continue thriving as their roles involve complex problem-solving, creativity, and ethical judgment that AI cannot fully replicate. These jobs require advanced technical skills, critical thinking, and human oversight, making them more resilient to automation.

What are Proper AI jobs?

Proper AI jobs refer to roles focused on the development, implementation, and management of artificial intelligence technologies within organizations. These positions may include AI researchers, machine learning engineers, data scientists, AI product managers, and AI ethics specialists. Professionals in these roles work on creating intelligent systems, designing algorithms, analyzing data, and ensuring that AI solutions are ethical and aligned with business goals. The field is rapidly growing, offering opportunities in various industries such as healthcare, finance, and technology.

How can I make 2000 a week working from home?

Proper AI professionals can earn $2000 a week by offering specialized AI services such as data annotation, model training, or consulting, often through freelance platforms or direct client work. Success depends on skills, experience, and the ability to manage multiple projects or clients efficiently, often requiring strong communication and technical proficiency in AI tools and frameworks.

What is a Proper Ai job?

A Proper Ai job typically involves working with artificial intelligence to develop, optimize, or manage AI-driven systems and solutions. This can include roles related to machine learning, data science, AI engineering, or AI ethics. Responsibilities may vary depending on the company but often include developing AI models, analyzing data, and ensuring AI systems function effectively.

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

To thrive as a Proper AI Engineer, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and cloud platforms is typically required. Problem-solving, creativity, and effective communication are crucial soft skills for developing innovative AI solutions and collaborating with cross-functional teams. These skills ensure the successful design, deployment, and maintenance of AI systems that meet organizational needs and drive business value.

What is the difference between Proper Ai vs Data Analyst?

AspectProper AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data scienceRequires degrees in statistics, mathematics, or related fields, often with proficiency in Excel, SQL, and visualization tools
Work EnvironmentOften works in tech companies, startups, or AI-focused teamsWorks across various industries, including finance, healthcare, and marketing, in office or remote settings
Industry UsageUsed in AI development, automation, and machine learning projectsUsed for data interpretation, reporting, and decision-making support

Proper Ai and Data Analyst roles share overlapping skills in data handling and analysis but differ mainly in focus. Proper Ai emphasizes AI and machine learning development, while Data Analysts focus on interpreting data to inform business decisions. Both roles are vital in data-driven industries, but their tools, goals, and environments vary.

More about Proper Ai jobs
What are the most commonly searched types of Proper Ai jobs? The most popular types of Proper Ai jobs are:
What states have the most Proper Ai jobs? States with the most job openings for Proper Ai jobs include:
What job categories do people searching Proper Ai jobs look for? The top searched job categories for Proper Ai jobs are:
Infographic showing various Proper Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.
AI Solution Architect

AI Solution Architect

Ecolab

Saint Paul, MN

$63.75 - $84/hr

Full-time

Posted 10 days ago


Ecolab rating

7.5

Company rating: 7.5 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

53rd of 92 rated chemical manufacturers


Job description

As the AI Solutions Architect - Legal, you will lead the architecture, design, and delivery of enterprise AI solutions that transform how Legal, Compliance, Procurement, and Regulatory stakeholders operate. You will be responsible for translating complex legal business challenges into scalable, secure, governed, and production ready AI solutions that integrate seamlessly with Contract Lifecycle Management (CLM) platforms, legal workflow tools, enterprise systems, and authoritative systems of record.

This is a hands on architecture role, not a purely advisory position. In addition to owning solution architecture and technical direction, you will actively design, develop, validate, and deploy production ready AI capabilities, reference implementations, integrations, and workflow automation solutions.

You will establish architecture patterns, guide platform and technology decisions, evaluate buy versus build opportunities, and ensure AI is embedded into governed and auditable legal processes. Success in this role requires deep technical expertise, strong solution architecture capabilities, and the ability to influence stakeholders across Legal, IT, Security, Compliance, Procurement, and enterprise technology teams.

What you will do

Solution Architecture & Technical Leadership

  • Architect end-to-end AI enabled legal solutions spanning intake, contract lifecycle management, compliance workflows, legal operations, document intelligence, and post signature insights.
  • Translate business challenges into scalable technical architectures, including application design, workflow orchestration, integration patterns, data flows, security controls, AI services, and deployment models.
  • Define solution blueprints, reference architectures, reusable design patterns, and technical standards for Legal AI initiatives.
  • Lead architecture reviews and technical decision making across legal technology platforms, enterprise systems, and AI capabilities.
  • Drive technology strategy and roadmap recommendations for legal workflow automation and AI enabled legal operations.

AI Solution Design & Delivery

  • Design and deliver production ready AI agents, copilots, orchestration services, APIs, and automation solutions that solve legal business challenges.
  • Develop AI enabled capabilities supporting contract analysis, clause extraction, obligation tracking, document summarization, compliance validation, legal intake, risk identification, and workflow acceleration.
  • Design and implement agentic and multi agent architectures that integrate intelligence services into governed legal workflows.
  • Establish evaluation frameworks, monitoring patterns, observability standards, and performance metrics to ensure reliable AI solution operation.
  • Lead architecture decisions regarding model selection, orchestration approaches, retrieval strategies, and enterprise AI integration patterns.

Enterprise Integration & Platform Architecture

  • Design secure, scalable integrations between AI capabilities, CLM platforms, workflow tools, enterprise applications, and systems of record.
  • Define integration patterns that maintain proper separation between:
    • AI reasoning and intelligence layers
    • Workflow orchestration platforms
    • Business applications
    • Data services
    • Systems of record
  • Ensure legal systems retain authoritative ownership of records, approvals, contracts, and compliance workflows while AI capabilities augment decision making and productivity.
  • Collaborate with enterprise architecture, platform engineering, and security teams to establish scalable solution patterns.

Buy vs. Build & Vendor Evaluation

  • Lead buy versus build assessments for Legal AI capabilities and workflow solutions.
  • Evaluate vendors, platforms, and emerging technologies against business requirements, integration complexity, risk, security, scalability, and total cost of ownership considerations.
  • Provide technical due diligence, architecture recommendations, implementation estimates, and adoption strategies for legal technology investments.
  • Partner with vendors and implementation teams to ensure solutions align with enterprise architecture standards.

Governance, Security & Responsible AI

  • Establish architecture standards supporting Responsible AI, security, privacy, regulatory compliance, auditability, and enterprise governance requirements.
  • Design controls and guardrails that ensure AI solutions operate safely within regulated legal and compliance processes.
  • Partner with Security, Risk, Compliance, and Legal stakeholders to incorporate governance requirements into solution designs.
  • Ensure solutions meet enterprise standards for data protection, access control, monitoring, resiliency, and operational support.

Technical Leadership & Team Enablement

  • Provide architecture leadership, technical mentorship, and implementation guidance to engineers, data scientists, and solution teams.
  • Lead technical design reviews and establish engineering best practices for AI development and deployment.
  • Drive adoption of reusable components, reference implementations, and enterprise solution standards.
  • Influence cross functional teams through technical expertise, strategic thinking, and collaborative leadership.
  • Serve as the primary technical authority for Legal AI architecture and solution design.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field.
  • 8 years of software engineering experience with the ability to personally design, develop, test, and deploy production ready solutions.
  • 5 years of experience architecting and delivering enterprise software, workflow, integration, or AI enabled solutions in production environments.
  • 5 years' experience serving as a Solution Architect, Lead Engineer, Technical Architect, or comparable technical leadership role.
  • Experience building AI enabled applications leveraging large language models, agentic architectures, retrieval systems, orchestration frameworks, and enterprise AI services.
  • Demonstrated experience architecting enterprise workflows that span multiple business systems, applications, data sources, and organizational stakeholders.
  • 5 years' experience with Python, API design, integration patterns, cloud native development, and modern software architecture principles.
  • Experience leveraging AI assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate software delivery and solution development.
  • Proven ability to make architecture tradeoff decisions balancing business value, technical complexity, security, scalability, maintainability, and total cost of ownership.
  • Strong communication and facilitation skills with the ability to engage technical teams, business stakeholders, legal professionals, and executive leadership.
  • No immigration sponsorship is available for this role at this time.

Preferred Qualifications

  • Experience implementing or architecting solutions for Contract Lifecycle Management (CLM), legal operations, compliance, procurement, regulatory affairs, or enterprise workflow automation.
  • Familiarity with platforms such as Agiloft, Eudia, ServiceNow, GEP, Harvey AI or similar legal technology ecosystems.
  • Experience designing AI solutions for:
    • Contract review and analysis
    • Clause and obligation extraction
    • Legal research support
    • Compliance validation
    • Legal intake and matter routing
    • Marketing compliance workflows
    • Procurement contracting
  • Knowledge of enterprise architecture frameworks, integration platforms, API management, and workflow orchestration platforms.
  • Experience implementing Responsible AI, AI governance, model evaluation, and enterprise AI monitoring practices.
  • Familiarity with security, privacy, auditability, and risk management requirements associated with regulated business processes.
  • Experience influencing platform, vendor, and architecture decisions at enterprise scale.

Annual or Hourly Compensation Range

The base salary range for this position is $153,900.00 - $230,800.00. This position is eligible for annual bonus pay based on performance, per plan terms. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws.

Benefits

Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families.Click here to see our benefits.

If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.


Potential Customer Requirements Notice

To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to:

- Undergo additional background screens and/or drug/alcohol testing for customer credentialing.


Americans with Disabilities Act (ADA)

Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.


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About Ecolab

Sourced by ZipRecruiter

Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Saint Paul, MN, US

Year founded

1923