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Ai Solutions Architect Jobs (NOW HIRING)

PepsiCo

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data/AI, or related field. Experience : * 9+ years in solution architecture with consumer/commercial digital ...

Owens & Minor, Inc.

AI Solutions Architect

$180K/yr

The role combines business solution architecture, AI platform architecture and responsible AI governance into one accountable function. This architect partners with business leaders to identify high ...

Direct Supply

AI Solutions Architect

Milwaukee, WI · On-site

$62 - $81.50/hr

In the AI Solutions Architect position, you'll design and deliver scalable, AI-powered solutions that solve complex customer and business problems, acting as a technical leader and connecting various ...

Halyard Health

AI Solutions Architect

Los Angeles, CA · On-site

$162 - $198/hr

The role combines business solution architecture, AI platform architecture and responsible AI governance into one accountable function.This architect partners with business leaders to identify high ...

Owens & Minor

AI Solutions Architect

$180K/yr

The role combines business solution architecture, AI platform architecture and responsible AI governance into one accountable function. This architect partners with business leaders to identify high ...

Confluence Technologies

AI Solutions Architect

Boston, MA · Hybrid

$68.50 - $90.25/hr

At Confluence, we are looking for an AI Solutions Architect to help turn AI opportunities into practical, scalable solutions that improve how we work, serve clients and deliver business value. This ...

Marencor

AI Solutions Architect

New York, NY · On-site

$69 - $90.75/hr

AI/ML Architect (AI Solutions Architect) Location: New York, NY Role Summary: Design the architecture for deploying scalable, observable, and compliant AI/ML solutions integrated with clinical ...

Confluence Technologies

AI Solutions Architect

Pittsburgh, PA · Hybrid

$61.25 - $80.50/hr

At Confluence, we are looking for an AI Solutions Architect to help turn AI opportunities into practical, scalable solutions that improve how we work, serve clients and deliver business value. This ...

SkillNet Solutions Inc

AI Solutions Architect

Austin, TX · Remote

$64.50 - $85/hr

AI Solutions Architect Type: Contract / Consulting Duration: 6 months (extendable) Location: Remote (US time zone overlap required) Experience: 10+ years in software/ML architecture, 5+ years in ...

SkillNet Solutions, Inc.

AI Solutions Architect

Austin, TX · On-site +1

$62.50 - $82.25/hr

AI Solutions Architect Type: Contract / Consulting Duration: 6 months (extendable) Location: Remote (US time zone overlap required) Experience: 10+ years in software/ML architecture, 5+ years in ...

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Ai Solutions Architect information

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How much do ai solutions architect jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ai solutions architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What is an AI Solutions Architect?

AI Solutions Architects are professionals who design, develop, and implement artificial intelligence solutions to solve business problems. They work closely with stakeholders to understand requirements, select appropriate AI technologies, and ensure that systems are scalable, secure, and aligned with organizational goals. Their responsibilities often include overseeing the integration of AI models into existing infrastructures, collaborating with data scientists and engineers, and guiding the end-to-end lifecycle of AI projects. They also stay updated on the latest AI advancements to recommend innovative solutions. Overall, AI Solutions Architects bridge the gap between technical teams and business objectives to drive successful AI adoption.

What skills and qualifications are needed to be an AI Solutions Architect?

To thrive as an AI Solutions Architect, you need expertise in machine learning, data science, and software engineering, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud), AI/ML frameworks (like TensorFlow or PyTorch), and relevant certifications are highly valued. Strong problem-solving, stakeholder communication, and project management skills set top performers apart. These competencies ensure effective design, deployment, and integration of AI solutions that align with business objectives.

How does an AI Solutions Architect collaborate with cross-functional teams during a project lifecycle?

AI Solutions Architects play a central role in bridging the gap between technical teams, such as data scientists and engineers, and non-technical stakeholders like business analysts and project managers. They are responsible for gathering requirements, designing scalable AI solutions, and ensuring alignment with business objectives throughout the project. Regular collaboration involves facilitating meetings, providing technical guidance, and translating complex AI concepts into actionable plans for all team members. This collaborative approach ensures that projects are delivered efficiently and meet both technical and business needs.

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

AspectAi Solutions ArchitectData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in cloud platforms or AI toolsBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentDesigning AI solutions, collaborating with engineering teams, implementing AI models in productionAnalyzing data, building models, interpreting results to inform business decisions
Employer & Industry UsageTech companies, AI-focused firms, large enterprises integrating AI solutionsResearch institutions, tech companies, finance, healthcare, and marketing sectors

While both roles involve AI and data, an Ai Solutions Architect focuses on designing and deploying AI systems within organizations, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The architect role emphasizes solution architecture and implementation, often requiring knowledge of cloud platforms and engineering, while the Data Scientist concentrates on statistical analysis and model development.

How much does an AI Solutions Architect make?

An AI Solutions Architect typically earns between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and cloud platforms can earn higher salaries, often exceeding $180,000.

What does an AI Solutions Architect do?

An AI Solutions Architect designs and implements artificial intelligence solutions to meet business needs, often working with machine learning models, data pipelines, and cloud platforms. They analyze requirements, develop technical strategies, and collaborate with teams to deploy scalable AI systems, typically requiring knowledge of programming, data science, and AI tools. Their role ensures AI technologies are effectively integrated into organizational processes.
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Ai Solutions Architect jobs near you
Infographic showing various Ai Solutions Architect job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.

AI Solutions Architect

PepsiCo

Plano, TX • On-site

$110K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 896 frontline employees who took The Breakroom Quiz

153rd of 440 rated food and drinks producers

Job description

Overview
CAREERS TO SMILE ABOUT
At PepsiCo, you'll discover a place where our mission is to create smiles around the world. With a portfolio of more than 500 beloved brands including, Gatorade, Lay's and Quaker, our work touches millions of people every day.
At the heart of the company is a team of thinkers, creators, and problem-solvers who collaborate to innovate and turn ideas into action. Driven by innovation and a focus on creating joyful moments through food and drinks, our decisions are guided by consumer centricity, creating opportunities for our associates to do meaningful work and make a lasting impact in the communities we serve.
Whatever your role, you'll be part of a global community that values your ideas and empowers you to make an impact, on your career and on the world around you.
Responsibilities
Solution Architecture & Design - (40%)
  • Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence diagrams) for consumer/commercial agentic use cases and enabling services.
  • Define integration patterns with customer-facing platforms (CRM, commerce, marketing tech, customer data platforms), API ecosystems, and data platforms.

Governance & Architecture Review - (25%)
  • Review agentic solution designs for compliance with platform patterns, security guardrails, and enterprise architecture standards.
  • Document ADRs for key design choices, exceptions, and trade-offs; drive remediation actions for non-compliant designs.

Non-Functional & Production Readiness - (20%)
  • Define and validate NFRs: availability, latency, throughput, resilience, auditability, security, privacy, and cost controls.
  • Ensure observability and operational readiness are designed-in (logging, tracing, metrics, evals, runbooks, rollback patterns).

Stakeholder Collaboration - (15%)
  • Partner with product owners, engineering teams, data teams, platform teams, and vendors to deliver aligned architecture and unblock dependencies.
  • Facilitate architecture workshops and design sign-offs across cross-functional teams.

Decision-Making Autonomy - Moderate
  • Significant autonomy in the technical aspects of AI model development and implementation, working under the strategic direction provided by the Senior AI Solutions Manager.

Supervision Required - Moderate
  • Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support.

Complexity of Role - High
  • The role requires managing complex AI/ML projects, working with large datasets, and ensuring successful integration with existing systems while maintaining scalability.

Cross-Functional Interactions
  • Regular interaction with Data Science, Engineering, IT, digital products and business stakeholders to ensure effective AI solution deployment.

Compensation and Benefits:
  • The expected compensation range for this position is between $110,700 - $185,250.
  • Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
  • Bonus based on performance and eligibility target payout is 12% of annual salary paid out annually.
  • Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
  • In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications
Education:
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data/AI, or related field.

Experience:
  • 9+ years in solution architecture with consumer/commercial digital platform exposure.

Required Skills / Experience:
  • Proven experience producing solution architectures for enterprise initiatives, including HLD/LLD, architecture diagrams, interface specifications, and NFRs.
  • Strong integration architecture experience across APIs, event-driven patterns, data products, and customer platform ecosystems.
  • Practical understanding of agentic AI architecture: tool/action execution, orchestration, memory/state, retrieval/grounding, evaluation/quality, and human-in-the-loop controls.
  • Experience designing for security, privacy, and compliance in customer-facing contexts: IAM/RBAC, data classification/PII, consent considerations, auditability, and explicit trust boundary enforcement.
  • Experience with production readiness: observability (logs/metrics/traces), resilience (timeouts/retries/idempotency), runbooks, and controlled rollout/rollback patterns.
  • Strong understanding of consumer/commercial journeys and systems (at least 3-4): marketing workflows, sales processes, commerce checkout/order flows, customer identity, B2B portals, or D2C experiences.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Ability to drive adoption through clear documentation, reference implementations, and enablement of engineers and architects across teams.
  • Experience and working knowledge with Agentic AI frameworks (e.g., Langchain, CrewAi, MCP, A2A) and deployment of AI solutions on cloud infrastructures (AWS, Azure, or Google Cloud).
  • Strong understanding and experience in designing AI agents and integrating advancements in AI/ML technologies.

Differentiating Competencies
  • Strong stakeholder influence and ability to drive alignment across product, engineering, data, and security teams.
  • Ability to simplify complex systems into clear architectures and guide teams toward reusable patterns.
  • Bias for measurable outcomes: reliability, adoption, cost, and operational stability.

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Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.
Please view our Pay Transparency Statement.

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965

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