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Entry Level Ai Solution Architect Jobs (NOW HIRING)

Kasisto

Solution Architect, Agentic AI Delivery

New York, NY · On-site +1

$120K - $140K/yr

At least 3 years of hands-on experience in solution architecture and integration, preferably in the financial services industry. * Experience implementing solutions incorporating AI, ideally agentic ...

Faurecia

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Design scalable AI solution architectures for manufacturing, engineering, and enterprise use cases ... Knowledge of cloud platforms, data architecture, and AI deployment practices What we can do for you

Faurecia

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

... AI solution architectures for manufacturing, engineering, and enterprise use cases Lead AI ... architecture, and AI deployment practices What we can do for you At Forvia, you will find an ...

Confluence Technologies

AI Solutions Architect

Pittsburgh, PA · On-site

$61.25 - $80.50/hr

Experience in Solution Architecture, Engineering, Product Management, Technology Consulting, Business Transformation or a related discipline. * Experience implementing AI solutions within a regulated ...

Innova Solutions, Inc

AI Solutions Architect

Chicago, IL · On-site

$180K - $190K/yr

AI Frameworks & Orchestration (LangChain, LangGraph, CrewAI, Semantic Kernel) * RAG (Retrieval ... Strong solution architecture, design thinking, and technical leadership capabilities * Excellent ...

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Entry Level Ai Solution Architect information

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How much do entry level ai solution architect jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for entry level ai solution 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 are the key skills and qualifications needed to thrive as an Entry Level AI Solution Architect, and why are they important?

To thrive as an Entry Level AI Solution Architect, you need a solid background in computer science, data analysis, and machine learning concepts, often supported by a relevant degree such as computer science or engineering. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms (like AWS, Azure, or Google Cloud), and basic certifications in these technologies are typically expected. Strong problem-solving abilities, effective communication, and a willingness to learn enable you to collaborate with technical teams and explain complex AI concepts to stakeholders. These skills are crucial for designing practical AI solutions that meet business needs and for progressing in the rapidly evolving field of artificial intelligence.

What are some common challenges faced by entry level AI Solution Architects, and how can they overcome them?

Entry level AI Solution Architects often encounter challenges like bridging the gap between technical AI solutions and business requirements, as well as keeping pace with rapidly evolving technologies. Collaborating with experienced team members, participating in cross-functional meetings, and seeking mentorship can help build confidence and clarify expectations. Proactively engaging in continuous learning and hands-on projects is also key to overcoming knowledge gaps and adapting to new tools or methodologies. Open communication and willingness to ask questions can greatly ease the transition into this dynamic role.

What is an Entry Level AI Solution Architect?

An Entry Level AI Solution Architect is a professional who helps design and implement artificial intelligence solutions for businesses, typically under the guidance of senior architects. They assist in analyzing client requirements, selecting appropriate AI technologies, and supporting the integration of AI models into existing systems. While they are early in their careers, they often collaborate closely with data scientists, software engineers, and other stakeholders to ensure successful project delivery. Their role is crucial for bridging the gap between business needs and technical solutions in the field of AI.

What is the difference between Entry Level Ai Solution Architect vs Data Analyst?

AspectEntry Level Ai Solution ArchitectData Analyst
Required CredentialsBachelor's in CS, AI, or related field; familiarity with AI toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentDesigning AI solutions, collaborating with developers and stakeholdersAnalyzing data sets, creating reports, supporting decision-making
Employer & Industry UsageTech companies, AI startups, consulting firmsBusiness, finance, healthcare, marketing sectors

While both roles require analytical skills and familiarity with data tools, the Entry Level Ai Solution Architect focuses on designing AI systems and solutions, whereas the Data Analyst primarily interprets data to inform business decisions. The architect role involves understanding AI frameworks and collaborating on technical implementations, making it more technical than the data analyst position.

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What cities are hiring for Entry Level Ai Solution Architect jobs? Cities with the most Entry Level Ai Solution Architect job openings:
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What job categories do people searching Entry Level Ai Solution Architect jobs look for? The top searched job categories for Entry Level Ai Solution Architect jobs are:
Entry Level Ai Solution Architect jobs near you
Infographic showing various Entry Level Ai Solution Architect 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, with an average salary of $145,963 per year, or $70.2 per hour.

Solution Architect, Agentic AI Delivery

Kasisto

New York, NY • On-site, Remote

$120K - $140K/yr

Full-time

Re-posted 15 days ago

Job description

Kasisto is seeking a creative and resourceful Solution Architect to work with customers on the design, development, and deployment of agentic applications for financial services. This hands-on role will include integration with enterprise systems, knowledge sources, communication channels, and analytics tools as part of the end-to-end solution.
We will consider only candidates who reside in New York, New Jersey, Massachusetts, Georgia, or Texas.
Key Responsibilities
  • Act as a trusted advisor, guiding customers on implementation options and deployment activities.
  • Lead the discovery process with customers to capture their technical requirements and business objectives.
  • Drive consensus with the customer on the proposed approach and timeframe.
  • Identify and craft requirements for capabilities that need to be created as part of the recommended solution.
  • Participate in project-specific development activities, either as the primary developer or contributing to a team effort.
  • Assist with validation of the complete solution in development, staging, and production environments.
  • Monitor and optimize deployments in response to evolving business needs.
  • Create and maintain the documentation archive specific to each implementation.
Required Skills
  • At least 3 years of hands-on experience in solution architecture and integration, preferably in the financial services industry.
  • Experience implementing solutions incorporating AI, ideally agentic AI in a production environment.
  • Working knowledge of the regulatory, security, and governance needs of financial institutions.
  • Strong ability to communicate clearly with technical and non-technical stakeholders from the trenches to the C-suite.
  • Proficiency with AWS and Azure environments.
  • Capable of building production-ready scripts or code for data manipulation and API integration, either directly or using AI tools.
  • General knowledge of Java or Python sufficient for building, enhancing, and debugging proprietary tools.
  • Comfortable with solving problems in a complex and ambiguous context.
  • Willingness to "wear many hats" and "roll up your sleeves" as is common in a fast-paced, nimble company such as ours.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
Desired Skills
  • Experience with banking platforms such as Candescent, Q2, FIS, and Jack Henry.
  • Familiarity with voice systems and modern telephony.
  • Understanding of contact center architecture and operations.
  • Conversational Spanish fluency, ideally as a native speaker.
What We Offer
  • Base salary of $120,000 to $140,000, commensurate with experience.
  • Comprehensive benefits package.
  • Collaborative work environment within a small team focused on delivery projects.
  • Hands-on experience with leading AI technology.
  • Unfortunately, we are unable to provide visa sponsorship now or at any time in the future, and relocation assistance will not be provided.
About Kasisto
Kasisto delivers AI you can bank on. We enable financial institutions around the world to deploy intelligent digital agents that are trusted, compliant, and deeply knowledgeable about assisting both employees and customers. Our agentic AI platform, KAIgentic, allows organizations to tap into a wide range of knowledge sources and integrate with their operational infrastructure, enabling conversational assistance through websites, mobile apps, and voice communications.

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