Sr AI Data Engineer (Cloud)

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. Rate Range: $80/hour to $82/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Sr AI Data Engineer (Cloud) job responsibilities include:

• 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.

Desired Qualifications:

• 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.

Preferred Qualifications:

• 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.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at Nitish.Kumar2@akkodisgroup.com.

Pay Details: $80.00 to $82.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.