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Generative Ai Solutions Architect Jobs (NOW HIRING)

PB consulting

Senior AI Solutions Architect

Niles, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on ...

PB consulting

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on ...

PB consulting

Senior AI Solutions Architect

Techny, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on ...

PB consulting

Senior AI Solutions Architect

Cicero, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on ...

PB consulting

Senior AI Solutions Architect

Hines, IL · On-site

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on ...

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How much do generative ai solutions architect jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for generative 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 a generative AI solutions architect?

A Generative AI Solutions Architect is a professional who designs, develops, and implements solutions using generative artificial intelligence technologies, such as large language models and generative adversarial networks. They work with stakeholders to understand business needs, select appropriate AI models, and ensure integration with existing systems. Their role includes overseeing the entire AI solution lifecycle, ensuring scalability, compliance, and ethical use of AI. They also stay up-to-date with advances in generative AI to recommend the best tools and practices for their organization.

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

To thrive as a Generative AI Solutions Architect, you need expertise in machine learning, deep learning, and AI model development, typically backed by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, cloud platforms (such as AWS, Google Cloud, or Azure), and relevant certifications (e.g., AWS Certified Machine Learning) is highly valuable. Strong problem-solving, communication, and project management skills help you translate complex AI concepts into actionable business solutions and collaborate effectively with stakeholders. These skills are vital to successfully designing, implementing, and scaling generative AI systems that meet organizational goals.

What are some common challenges faced by generative AI solutions architects when integrating AI models into existing business systems?

Generative AI Solutions Architects often encounter challenges related to aligning advanced AI models with legacy systems, ensuring data privacy and security, and managing stakeholder expectations. Integration may require custom API development, thorough testing, and close collaboration with IT and data engineering teams. Successfully navigating these complexities typically involves a combination of strong technical expertise, clear communication with non-technical stakeholders, and continuous learning to stay abreast of rapidly evolving AI technologies.

What cities are hiring for Generative Ai Solutions Architect jobs?

Cities with the most Generative Ai Solutions Architect job openings:

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Infographic showing various Generative 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 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.

Senior AI Solutions Architect

Rosemont, IL • On-site

PB consulting
See more jobs at PB consultingexternal

Full-time

Posted 15 days ago

Job description

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on architecture, Python development, AWS, and production AI applications.

Responsibilities

*Own the end-to-end architecture and technical design of LLM and Generative AI solutions.
*Translate business requirements into scalable solution architectures, technical plans, and development tasks.
*Define architecture standards, integration patterns, technical decisions, and engineering best practices.
*Provide technical direction, mentor engineers, and lead design and code reviews.
*Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks.
*Architect and implement LLM applications, LangChain workflows, and RAG pipelines.
*Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation.
*Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or similar technologies.
*Establish monitoring and evaluation for quality, relevance, latency, reliability, safety, and cost.
*Design secure, scalable, and resilient AI services on AWS, including Lambda, EC2, S3, EKS, and RDS.
*Partner with DevOps/MLOps teams on CI/CD, infrastructure automation, observability, incident response, and production support.
*Ensure solutions meet enterprise requirements for security, governance, availability, scalability, fault tolerance, and operational readiness.

Required Qualifications

*Extensive software engineering experience with technical leadership responsibilities.
*Strong hands-on Python and backend development experience.
*Experience with FastAPI, Flask, or comparable frameworks.
*Proven experience delivering production LLM/Generative AI and RAG applications.
*Strong knowledge of LLM architecture, prompt engineering, embeddings, vector databases, retrieval, re-ranking, and evaluation.
*Experience with OpenAI, Anthropic, Hugging Face, LangChain, or similar platforms/frameworks.
*Strong AWS cloud architecture and deployment experience.
*Experience with microservices, APIs, cloud security, scalability, and distributed systems.
*Strong experience leading architecture/design reviews, code reviews, technical planning, and complex engineering initiatives.
*Ability to mentor engineers and influence technical decisions without formal management authority.

Preferred Skills

*Experience with MLOps, CI/CD, infrastructure as code, and observability.
*Experience with enterprise AI governance, security, and responsible AI practices.
*Experience optimizing AI applications for performance, reliability, and cost.
*Experience working with cross-functional application, data, cloud, security, DevOps, and platform teams.

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