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Ai Solutions Manager Jobs (NOW HIRING)

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Solution Architecture & Design - (40%) * Produce end-to-end solution architecture artifacts (HLD ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Solution Architecture & Design - (40%) * Produce end-to-end solution architecture artifacts (HLD ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Solution Architecture & Design - (40%) * Produce end-to-end solution architecture artifacts (HLD ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

AI Solutions Architect

Plano, TX · On-site

$110K - $185K/yr

Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

Produce end-to-end solution architecture artifacts (HLD/LLD, C4 context/container, sequence ... The role requires managing complex AI/ML projects, working with large datasets, and ensuring ...

Our cloud-first networking and security solutions already protect 70% of the Fortune 500, and we're ... AI Solution Manager We have an opportunity for an AI Solution Manager to join our Business Strategy ...

You will also drive the deployment of AI solutions across the CFO Org. Your work will directly ... to manage a portfolio of systems projects. * Strong communication skills with the ability to ...

Sr Agentic AI Engineer

Purchase, NY · On-site

$106K - $178K/yr

Supervision RequiredModerate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support. * Complexity of RoleHigh - The role requires ...

Sr Agentic AI Engineer

Plano, TX · On-site

$106K - $178K/yr

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 ...

Sr Agentic AI Engineer

Purchase, NY · On-site

$106K - $178K/yr

Supervision RequiredModerate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support. * Complexity of RoleHigh - The role requires ...

Sr Agentic AI Engineer

Purchase, NY · On-site

$106K - $178K/yr

Supervision RequiredModerate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support. * Complexity of RoleHigh - The role requires ...

Sr Agentic AI Engineer

Plano, TX · On-site

$106K - $178K/yr

Supervision RequiredModerate - Operates with general guidance from the Senior AI Solutions Manager, with regular updates for alignment and support. * Complexity of RoleHigh - The role requires ...

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Ai Solutions Manager information

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$49.5K

$94.2K

$151K

How much do ai solutions manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for ai solutions manager in the United States is $94,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What are AI Solutions Managers?

AI Solutions Managers are professionals responsible for overseeing the development, implementation, and management of artificial intelligence solutions within an organization. They work closely with technical teams, stakeholders, and clients to identify business needs and translate them into AI-driven strategies and products. Their duties often include project management, resource allocation, ensuring successful delivery of AI projects, and staying up-to-date with the latest AI technologies and trends. By bridging the gap between business objectives and technical execution, they help organizations leverage AI to achieve better outcomes.

How does an AI Solutions Manager typically collaborate with cross-functional teams during a project?

AI Solutions Managers play a pivotal role in bridging the gap between technical teams and business stakeholders. They regularly coordinate with data scientists, engineers, product managers, and clients to ensure AI solutions align with organizational goals and customer needs. This involves translating business requirements into technical specifications, facilitating project timelines, and addressing challenges that may arise during development and deployment. Effective communication and the ability to manage diverse viewpoints are essential for success in this collaborative environment.

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

AspectAi Solutions ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI project managementDegree in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentLeads AI projects, collaborates with cross-functional teams, manages AI solution deploymentAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI-focused firms, consultingResearch institutions, tech companies, finance, healthcare

The Ai Solutions Manager focuses on leading AI project implementation and managing teams, while Data Scientists primarily analyze data and develop AI models. Both roles require technical skills, but the manager role emphasizes project oversight and strategic deployment.

What are the key skills and qualifications needed to thrive as an AI Solutions Manager, and why are they important?

To thrive as an AI Solutions Manager, you need a strong background in computer science, data analytics, and project management, often supported by a relevant degree and experience in AI technologies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and certifications like PMP or AWS Certified Machine Learning are highly valuable. Exceptional communication, leadership, and problem-solving skills are crucial for coordinating teams and translating business needs into technical solutions. These skills ensure the successful delivery of AI-driven projects that meet organizational objectives and drive innovation.
More about Ai Solutions Manager jobs
What cities are hiring for Ai Solutions Manager jobs? Cities with the most Ai Solutions Manager job openings:
What are the most commonly searched types of Ai Solutions jobs? The most popular types of Ai Solutions jobs are:
What states have the most Ai Solutions Manager jobs? States with the most job openings for Ai Solutions Manager jobs include:
AI Solutions Architect

AI Solutions Architect

PepsiCo

Plano, TX • On-site

$110K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 842 frontline employees who took The Breakroom Quiz

126th of 381 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
Lead solution architecture for agentic AI solutions across Supply Chain programs such as DTV, Procurement, R2P, Warehousing, Manufacturing, Transportation, and Network Design, ensuring designs meet enterprise standards for security, scalability, reliability, and observability.
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
Minimum 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 enterprise supply chain technology exposure.

Required Skills / Experience
  • Proven experience producing solution architectures for enterprise initiatives including HLD/LLD, integration diagrams, and NFR specifications.
  • Strong integration design experience across APIs, events, batch processing, and data platforms; ability to define contract-driven interfaces (schemas, error handling, versioning).
  • Practical understanding of agentic AI architecture patterns: tool/action execution, orchestration, memory/state, retrieval/grounding, evaluation/quality, and human-in-the-loop controls.
  • Experience designing for security and compliance: IAM concepts (RBAC), data classification/PII considerations, auditability, and explicit trust boundary enforcement.
  • Experience with production readiness: observability (logs/metrics/traces), resilience (timeouts/retries/idempotency), operational runbooks, and change control.
  • Strong supply chain domain understanding across at least 3-4 areas: planning, procurement, warehousing, manufacturing, transportation, network design.
  • 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.

Preferred Skills / Experience
  • Experience integrating with SAP and/or supply chain planning platforms (or equivalent systems of record).
  • Familiarity with AI platform components (LLM providers, vector DB/RAG, model routing, evaluation frameworks).
  • Experience working with agile delivery at scale (PI planning, cross-team dependency management).

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.
  • Technical Proficiency: Deep understanding of new technologies, GenAI algorithms and Agentic tools.
  • Problem-Solving: Ability to translate business challenges into technical solutions.
  • Collaboration Skills: Effective at working within cross-functional teams.
  • Agility: Flexibility to adapt to changing requirements and new technologies.
  • Communication Skills: Capable of explaining complex technical concepts to non-technical stakeholders.

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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