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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr AI Data Engineer (Cloud) - **Company:** Akkodis group - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $166,400.0 - $170,560.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Lifecycle Management, Application Packaging, ARM Architecture, Mobile Application Development, Cloud Computing, Information Systems, Databases, Continuous Delivery, Customer Data Management, Data Deduplication, Information Engineering, Data Transformation, Amazon DynamoDB, Github, Python (Programming Language), Performance Tuning, Role-Based Access Control, Regression Testing, Release Management, Software Engineering, SQL Stored Procedures, SQL Databases, Management of Software Versions, Scripting, Large Language Models, Snowflake, Prompt Engineering, Software Security, State Machines, Generative AI, Cloudformation, Containerization, Information Technology, Deployment Automation, Data Management, Drift Detection, Terraform, Data Pipelines, Automation Anywhere, Human in the Loop, Jenkins, Data Generation - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-ai-data-engineer-cloud-chicago-il--7f49ebfd-5fd1-4370-81e9-5c6f3b181fc1 ## About the Role Software Engineering, Artificial Intelligence (AI), Cloud Computing, Information Technology & Information Systems, Database Programming, Artificial Intelligence (AI), Software Engineering, Data Management, Cloud Computing, Business Support, * Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical discipline, or equivalent practical experience. * Eight or more years of overall technology experience, including at least five years of hands-on Data Engineering experience. * Two or more years of experience developing, deploying, and supporting Generative AI solutions in production environments. * Extensive experience with Snowflake, including advanced SQL development, performance tuning, Streams, Tasks, stored procedures, and enterprise data architectures. * Hands-on experience implementing Snowflake Cortex AI or comparable enterprise-grade large language model (LLM) platforms. * Proven experience developing Snowflake Native Applications utilizing Snowpark, application packaging, release management, versioning, and secure deployment methodologies. * Strong AWS expertise with services including S3, Lambda, Glue, Step Functions, DynamoDB, EC2, CloudFormation, Kinesis, and related cloud-native technologies. * Advanced proficiency in Python, including development of production-grade applications, testing frameworks, packaging, and automation solutions. * Experience implementing CI/CD pipelines utilizing GitHub Actions, Jenkins, or similar platforms. * Experience utilizing Infrastructure-as-Code technologies such as Terraform and CloudFormation., * Experience within hospitality, customer profile management, personalization, loyalty, or customer preference domains. * Experience implementing human-in-the-loop workflows and taxonomy-driven classification solutions. * Familiarity with data privacy, security, and regulatory compliance requirements involving customer data. * Experience implementing Snowflake governance and security capabilities including RBAC, masking policies, row access policies, tagging, and compliance controls. * Experience developing automated regression testing frameworks for prompts, GenAI workflows, and LLM outputs. * Experience with Snowpark Container Services or containerized AI/ML deployment architectures. * Experience automating Windows-based operational processes using scripting and workflow automation technologies. * AWS, Snowflake, or related cloud and data engineering certifications are considered a strong plus. ## Description Akkodis is seeking a Sr AI Data Engineer (Cloud) for a Contract job with a client in Chicago, IL. The ideal candidate will be responsible for designing and implementing scalable data and AI solutions, building enterprise-grade data pipelines, and operationalizing AI capabilities that support key business initiatives., * Design, develop, and maintain scalable data ingestion pipelines that integrate multiple source systems into Snowflake utilizing AWS services and Python-based frameworks. * Build, optimize, and support SQL-based data transformation processes for free-text cleansing, normalization, validation, deduplication, and structured data generation. * Implement and operationalize Snowflake Cortex AI workflows to support classification, extraction, enrichment, and AI-driven business processes. * Develop robust Generative AI solutions including prompt engineering, prompt versioning, response validation, fallback logic, and output quality controls. * Design, develop, and deploy Snowflake Native Applications using the Snowflake Native App Framework while managing application lifecycle activities including versioning, upgrades, security, and release management. * Collaborate with Data Product Management, Data Science, and business stakeholders to design and implement enterprise AI and data capabilities. * Define, monitor, and improve data quality and AI model performance metrics including precision, recall, coverage, drift detection, and error rates. * Implement observability and monitoring solutions using Arize or similar ML/LLM monitoring platforms to support performance analysis and root cause investigations. * Develop CI/CD pipelines and Infrastructure-as-Code solutions to support automated deployment, testing, governance, and operational readiness.