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Senior Python Ai Jobs in Itasca, IL (NOW HIRING)

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable ... Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar ...

Showing results 41-60

Senior Python Ai information

See Itasca, IL salary details

$53.6K

$138.2K

$189.9K

How much do senior python ai jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior python ai in Itasca, IL is $138,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $159,200.00 per year, depending on experience, location, and employer.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the most commonly searched types of Python Ai jobs in Itasca, IL?

The most popular types of Python Ai jobs in Itasca, IL are:

What are popular job titles related to Senior Python Ai jobs in Itasca, IL?

For Senior Python Ai jobs in Itasca, IL, the most frequently searched job titles are:

What cities near Itasca, IL are hiring for Senior Python Ai jobs?

Cities near Itasca, IL with the most Senior Python Ai job openings:

Infographic showing various Senior Python Ai job openings in Itasca, IL as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $138,236 per year, or $66.5 per hour.

Senior AI Solutions Architect

PB consulting

Berwyn, IL โ€ข On-site

Full-time

Posted 11 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.