AI Engineer

$186,000 - $186,000/Yr

CGI - Austin, TX

Full-time - Mid Level

Hybrid - Austin, TX

Professional, Scientific, and Technical Services

About the position

The AI Engineer position at CGI involves working within the Emerging Technologies Practice to implement advanced data-driven applications and solutions. The role requires collaboration with cross-functional teams to design and manage microservice architectures, data pipelines, and machine learning models, ensuring that client needs are met through effective communication and technical documentation.

Responsibilities

• Collaborate with cross-functional teams to design, deploy, and manage microservice architectures for analytics, data pipelines, and machine learning models.
• Interpret customer and business needs to construct resilient, cloud-native data infrastructures.
• Maintain active engagement with client representatives and internal team members to adhere to project timelines and ensure effective communication.
• Articulate and document technical designs and solutions clearly for all stakeholders.
• Work closely with solution architects, senior data engineers, data analysts, and cloud engineering teams to align solutions with business objectives.

Requirements

• Over five years of experience in Cloud Data Engineering.
• Proficiency in designing, implementing, and maintaining RESTful APIs.
• Strong knowledge of JavaScript and related frameworks for both front-end and back-end development.
• Experience with designing and building scalable microservice architectures.
• Understanding of generative AI technologies such as foundational RAG solutions, vector databases, and Large Language Models.
• Familiarity with cloud services (AWS, Azure, GCP) and their data-related offerings.
• Ability to work with various databases, both SQL and NoSQL, and knowledge of database optimization techniques.
• Skills in building and maintaining robust data pipelines using Python, PySpark, and SQL.
• Experience creating streaming pipelines using technologies such as Kafka, Azure Event Hub, and AWS Kinesis.
• Experience with agile development methodologies and tools for version control, such as Git, Jenkins, or Azure DevOps.
• Experience with CI/CD pipelines for automated testing and deployment.
• Strong teamwork skills and the ability to communicate effectively with both technical and non-technical stakeholders.

Nice-to-haves

• Exposure to Docker, Kubernetes, or similar technologies for containerization and orchestration.
• Knowledge of security best practices, including secure coding, encryption, and access control.
• Experience in creating dashboards and visualizations utilizing popular BI tools such as Tableau, Power BI, or Looker.

Benefits

• Competitive base salaries
• Eligibility to participate in an attractive Share Purchase Plan (SPP)
• 401(k) Plan and Profit Participation
• Generous holidays, vacation, and sick leave plans
• Comprehensive insurance plans including medical, dental, vision, life, and disability coverage
• Back-up child care
• Pet insurance
• Member Assistance Program
• 529 college savings program
• Personal financial management tool
• Lifestyle management programs