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Remote Ai Architect Jobs (NOW HIRING)

AI Solutions Architect- Pre-sales

$64.50 - $85/hr

AI Solutions Architect- Pre-sales We are seeking a motivated AI Architect - Pre-sales to join our ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

AI Solutions Architect- Pre-sales

New York, NY ยท Remote

$69 - $90.75/hr

AI Solutions Architect- Pre-sales We are seeking a motivated AI Architect - Pre-sales to join our ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

AI Architect - GTM Systems

$248K/yr

As Lead AI Architect, GTM Systems, you will set the technical vision for how Samsara's GTM ... This is a remote role open to candidates in the US, except for San Francisco and New York. No ...

AI Solutions Architect- Pre-sales

$64.50 - $85/hr

AI Solutions Architect- Pre-sales We are seeking a motivated AI Architect - Pre-sales to join our ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

AI Solutions Architect- Pre-sales

Boston, MA ยท Remote

$68.50 - $90.25/hr

AI Solutions Architect- Pre-sales We are seeking a motivated AI Architect - Pre-sales to join our ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Sr Staff AI Architect

Carlsbad, CA ยท On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions ...

AI Architect Claude Code Senior Developer

NY ยท On-site +1

$160K - $220K/yr

AI Architect, US-Based (Remote) to build AI systems that work in production - not demos, not chatbots, not hype. We are conducting a confidential search for an experienced AI Business, Solutions and ...

Sr Staff AI Architect

Raleigh, NC ยท On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions ...

Sr Staff AI Architect

Pittsburgh, PA ยท On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions ...

Sr Staff AI Architect

Carlsbad, CA ยท On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define and govern the technical blueprint for enterprise AI and data ecosystems. This role ensures solutions ...

AI Architect - GTM Systems

$248K/yr

As Lead AI Architect, GTM Systems, you will set the technical vision for how Samsara's GTM ... This is a remote role open to candidates in the US, except for San Francisco and New York. No ...

Architect, Enterprise AI

$124K - $170K/yr

Navitus is unable to offer remote work to residents of Alaska, Hawaii, Maine, Mississippi, New ... The Architect, Enterprise AI is responsible for designing, governing, and advancing the enterprise ...

AI Data Architect

Rochester, NY ยท On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction

AI Data Architect

Rochester, NY ยท Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Architect document AI pipelines using Textract, Comprehend, and Bedrock for entity extraction

$87K - $149K/yr

Remote AI Automation Developer Summary: Build your Career. Make a Difference. Presbyterian is ... We are seeking an experienced AI Automation Architect to lead the design, development, and ...

Showing results 41-60

Remote Ai Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do remote ai architect jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote ai architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a remote AI architect?

Remote AI Architects are professionals who design, develop, and oversee artificial intelligence solutions for organizations while working from a remote location. They collaborate with teams to create AI strategies, select appropriate technologies, and ensure scalable, robust AI system architectures. Their responsibilities include planning the integration of AI tools, assessing system requirements, and guiding development teams, all without needing to be physically present in an office. This role typically requires advanced knowledge in machine learning, deep learning, and cloud platforms, along with strong communication and project management skills.

What are the key skills and qualifications needed to thrive as a remote AI architect?

To thrive as a Remote AI Architect, you need extensive experience in machine learning, deep learning, data modeling, and a strong background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), programming languages like Python, and relevant certifications (e.g., AWS Certified Machine Learning) is highly valuable. Strong problem-solving, collaboration, and communication skills are essential for designing scalable AI solutions and working with distributed teams. These skills ensure the effective development and deployment of AI systems that meet organizational goals while enabling seamless teamwork across remote environments.

How does a remote AI architect typically collaborate with cross-functional teams in a distributed work environment?

As a Remote AI Architect, you will frequently collaborate with data scientists, software engineers, and product managers through virtual meetings and shared documentation platforms. Effective communication and clear documentation are essential to align project goals, define system requirements, and review AI model designs. You may also participate in regular code reviews and brainstorming sessions, ensuring that AI solutions are seamlessly integrated into broader business applications. Adapting to asynchronous workflows and being proactive in providing technical guidance are key to success in this remote, team-oriented setting.

What is the difference between Remote Ai Architect vs Data Scientist?

AspectRemote Ai ArchitectData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; programming skills in Python/R
Work EnvironmentCollaborates with AI teams, software engineers, and product managers on AI solutionsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageUsed in AI development, machine learning projects, and AI-driven product designApplied across industries for data analysis, predictive modeling, and insights generation

While both roles require strong technical skills and familiarity with data and algorithms, Remote Ai Architects focus on designing and implementing AI systems, whereas Data Scientists analyze data to inform business strategies. The roles often overlap but serve different primary functions within AI and data-driven projects.

More about Remote Ai Architect jobs

What cities are hiring for Remote Ai Architect jobs?

Cities with the most Remote Ai Architect job openings:

What are the most commonly searched types of Ai Architect jobs?

The most popular types of Ai Architect jobs are:

What states have the most Remote Ai Architect jobs?

States with the most job openings for Remote Ai Architect jobs include:

Infographic showing various Remote Ai Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Enterprise Data & AI Architect

Bay Cities Container

Pico Rivera, CA โ€ข On-site, Remote

Full-time

Re-posted 20 days ago


Job description

Bay Cities Container has an exciting opportunity for an Enterprise Data & AI Architect for a remote based position. The ideal candidate will live anywhere in the United States but have the ability to travel to our corporate location as needed. Bay Cities is an Employee Owned (ESOP) corrugated packaging and display manufacturer. We design, manufacture, and deliver custom packaging, point-of-purchase displays, and fulfillment solutions for major national brands. We are in the middle of a CEO sponsored digital transformation- building an enterprise intelligence platform that connect our manufacturing, financial, sales, and operational systems through modern data architecture and AI. This is not a planning exercise. We have a functioning platform with proven results already in production.
The Role
We are hiring an Enterprise Data & AI Architect to own and extend the data intelligence and AI automation platform that drives our business transformation. You will report directly to the CIO and lead a small BI/analytics team (3-4 members).
This is a hands-on technical leadership role. You will write SQL, build semantic models, design data pipelines, configure AI-assisted workflows, and deliver measurable business outcomes- not just draw architecture diagrams. You'll inherit a functioning platform with real production workloads and be expected to keep it running while expanding its capabilities.
What You'll Do
Data Architecture & Warehousing
  • Own and extend a SQL Server analytics data warehouse with dimensional modeling (star schema, conformed dimensions, fact/dimension tables).
  • Design and maintain data pipelines from multiple legacy source systems (ERP, logistics, workflow management) through to Microsoft Fabric.
  • Handle complex temporal data challenges- reconciling multiple systems with incompatible time grains.
  • Maintain schema governance, documentation, and data lineage.

Business Intelligence & Reporting
  • Build and maintain Power BI semantic models deployed to Microsoft Fabric.
  • Develop DAX measure libraries for financial and operational reporting.
  • Deliver executive dashboards- P&L, Balance Sheet, Flash Reports, cost analysis, operational metrics.
  • Ensure data quality through validation and reconciliation between source systems and reporting layers.

AI & Automation
  • Design and orchestrate AI agent workflows for business process automation.
  • Build workflow automations for data pipelines, alerting, and system integration.
  • Implement agent-assisted analytics- where AI investigates, subject matter experts validate, and the system learns.
  • Manage prompt engineering, AI governance, and safety boundaries for production AI systems.

Manufacturing Cost Intelligence
  • Work with legacy ERP cost models (Activity-Based Costing, BOM structures, GL interaction).
  • Build margin analysis, vendor spend tracking, and cost-per-unit modeling.
  • Reconcile estimated costs against actuals across multiple systems.

Stakeholder Delivery
  • Translate business needs from executives (CFO, CRO, COO) into data products.
  • Manage a portfolio of concurrent analytics projects from intake through delivery.
  • Deliver iteratively- prove value in days, not months.

Team Leadership
  • Lead and mentor a small BI/Analytics team.
  • Distribute work to eliminate single-person bottlenecks and knowledge concentration.
  • Build team capability so institutional knowledge compounds across people, not in one person.
  • Ensure IT governance: proper secrets management, access controls, and security practices.

Requirements
Required
  • 5+ years SQL Server/T-SQL- complex analytical queries, views, stored procedures, dimensional modeling. This is a daily tool, not an occasional one.
  • 3+ years Power BI/DAX- Semantic model development, DAX measures, evaluation context. Experience deploying models to production environments.
  • Microsoft Fabric or equivalent cloud analytics platform- Data warehouse, pipelines, semantic models, workspace governance. Azure Synapse, Databricks, or Snowflake experience translates well.
  • Data Warehouse Design- Dimensional modeling, star schemas, ETL/ELT patterns, slowly-changing dimensions. You've built and maintained a production data warehouse.
  • Python- Data transformation, scripting, and automation. Experience with data science libraries (pandas, scikit-learn) is a plus.
  • Git Version Control- All code, models, and documentation are version-controlled. Comfortable with collaborative development workflows.
  • API Integration- Rest APIs, authentication flows, webhook patterns. You'll connect ERP, logistics, and cloud services.

Strongly Preferred
  • AI/LLM experience- Hands-on with Claude, OpenAI, or similar. Understanding of prompt engineering, agent orchestration, or agentic AI patterns.
  • Workflow Automation Platforms- n8n, Azure Logic Apps, Power Automate, Zapier, or Make. Building automated data flows and business process automation.
  • Manufacturing or industrial ERP systems- Any background with ERP platforms in a manufacturing context (SSAP, Oracle, Infor, Epicor, Amtech or similar). The specific system is learnable; the domain intuition is not.
  • Financial reporting concepts- GL structure, P&L, Balance Sheet, Cost Accounting. You'll partner closely with Finance.
  • PowerShell- Infrastructure scripting, automation, and diagnostics in a Windows/Azure environment.
  • Azure AD/Identity Management- Service accounts, credential lifecycle, gateway authentication.

Nice to Have
  • Experience in packaging, printing, or discrete manufacturing.
  • Change Management Awareness- understanding how technology adoption affects people.
  • Vector database experience (Chroma, Pinecone, Weaviate).
  • Data Vault 2.0 methodology.

What You Don't Need to Know (We'll Teach You)
  • Our Specific ERP system and its data structures- they're well-documented, and you'll have AI-assisted tooling to explore them.
  • Corrugated packaging manufacturing process- the domain is learnable and our platform captures institutional knowledge to help you ramp up.
  • Our specific AI agent framework- if you understand the fundamentals of LLMs and prompt engineering, you'll pick up our implementation quickly.
  • The history of how we got here- what matters is where we're going.

What Success Looks Like
  • First 30 days: Understand the data architecture end-to-end (source systems-data warehouse-Fabric-Power BI)- Take ownership of existing production models and dashboards- Meet with key business stakeholders to understand their priorities- Assess current security Posture.
  • First 90 Days: Deliver 2-3 projects end-to-end with measurable business impact. Reduce single-person dependencies on critical data paths. Implement proper secrets management and access controls. Ensure all platform assets are under enterprise IT governance.
  • First 6 months: Team is delivering analytics projects independently without bottlenecks. Data pipeline architecture is documented, monitored, and resilient. AI automation framework is maintainable by the team, not dependent on any one person. New projects are being triaged and delivered on predictable, repeatable cycles.

What We Offer
  • ESOP Ownership- You become an employee-owner. Your work builds your equity.
  • Direct Impact- Small team, big mandate, CEO-sponsored transformation with proven results.
  • Modern Stack- Microsoft Fabric, Power BI, AI Agents, Git-based development.
  • Autonomy- Build real systems that deliver real business outcomes, not proof-of0concepts that sit on a shelf.
  • Growth- This role expands as the platform expands. You'll shape what it becomes.

Other
  • US Persons Only (US citizens, lawful permanent residents, refugee or asylee - all require proper identification and documentation).
  • Up to 25% travel required.
  • Physical and Environmental Requirements: While performing the duties of this Job, the employee is regularly required to talk or hear. The employee is frequently required to stand and sit. The employee is occasionally required to walk and reach with hands and arms. The employee must occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision and color vision.
  • Work Environment: This is a full-time remote or Hybrid position, with occasional travel to Bay Cities Container offices or facilities as needed.
  • In this role, you will be instrumental in shaping Bay Cities Container's data landscape, driving innovation, and enhancing operational efficiency through data-driven insights and solutions.
  • Pre-Employment Verifications: Must pass background and reference checks, drug screen, and physical examination prior to employment.