AI Solution Architect

About Us

Groundbreaker. Game changer. Pioneer.

TRC has consistently set the standard for clients needing more than just engineering services by blending scientific expertise with cutting-edge technology to create innovative, enduring solutions. From pipelines to power plants, roadways to reservoirs, schoolyards to security solutions, clients look to TRC for breakthrough thinking backed by the innovative follow-through of an industry leader.

Our team works with a diverse range of commercial, industrial and government clients and the communities they serve. We are dedicated to delivering creative solutions that meet local needs, helping our clients thrive in a rapidly changing world. Together, we tackle challenges and strive to make the Earth a better place to live, community by community and project by project.

Joining TRC means engaging in interesting, meaningful projects. We pride ourselves on our collaborative spirit, entrepreneurial zeal and agile corporate structure. We recognize that the expertise of our staff is our strongest asset, so we generously reward employees for successful performance and invest in their careers through training and the development of new skills and certifications. At TRC, we believe in the power of diverse perspectives and are committed to fostering an inclusive environment where every team member can thrive. We offer a range of People Programs designed to support our employees growth and well-being. Explore our programs here: TRC People Programs

At TRC, every voice is valued, every individual has the opportunity to make a difference, and together we shape a brighter, more sustainable future.

Overview

TRC is a global consulting firm providing environmentally advanced and technology-powered solutions for the oil and gas, power and infrastructure industries. TRC has over 7,000 employees in over 150 offices globally, including Canada, China, India and the UK.

We are seeking an experienced and highly skilled AI Solution Architec to join our dynamic team. The ideal candidate will design, develop, and deploy a cloud-based application using a range of AWS services and technologies, demonstrating expertise in backend development with a focus on serverless architecture.

This full-time position provides a unique opportunity to work at the forefront of cloud-based application development. If you have a passion for AWS services and are excited about pushing the boundaries of cloud technologies, we'd love to hear from you.

Responsibilities

The AI Solution Architect will be responsible for the end-to-end design, development, and deployment of data lake solutions, focusing on efficient data ingestion, transformation, and storage strategies. The role also involves designing robust data pipelines to support machine learning (ML) and generative AI models, ensuring scalable and maintainable architecture. You will work closely with stakeholders to estimate resources, timeframes, and to ensure that all solutions align with business needs and best practices., You will also design solution from inception to completion, demonstrating technical excellence and ownership.

Key Responsibilities

• Data Lake Architecture Design: Design and develop a comprehensive data lake solution on AWS, ensuring seamless data ingestion from various sources such as APIs, databases, and cloud storage. Implement storage strategies across the bronze, silver, and gold layers to ensure efficient data management.
• Data Ingestion and Transformation: Develop and manage data ingestion processes using AWS Glue, AWS Lambda, and other relevant services. Design data transformation workflows that ensure data quality, consistency, and availability for downstream analytics and ML models.
• Data Pipeline Development for ML and AI Models: Design, implement, and optimize data pipelines to support both traditional machine learning and generative AI models. Ensure that data pipelines are scalable, robust, and capable of handling large volumes of data.
• Resource and Time Estimation: Accurately estimate resources, time, and effort required to build and deploy data solutions, balancing efficiency with quality. Collaborate with project managers to align project timelines with business goals.
• Security and Compliance: Ensure that all data solutions comply with relevant data privacy, security regulations, and best practices. Implement access controls, encryption, and other security measures to safeguard sensitive data.
• Performance Optimization: Continuously monitor and optimize the performance of data lake and pipeline architectures. Identify bottlenecks and implement improvements to ensure high availability and reliability of data services.
• AWS Boto3 Utilization: Utilize AWS Boto3 for programmatically managing AWS resources, automating tasks, and integrating AWS services into the data solutions. Develop custom scripts and tools using Boto3 to enhance automation and efficiency.
• Collaboration and Stakeholder Management: Work closely with business stakeholders, data scientists, and other engineers to understand data requirements and translate them into effective technical solutions. Provide technical expertise and ensure alignment with business objectives.
• Documentation and Knowledge Sharing: Prepare detailed technical documentation, including data architecture diagrams, design decisions, and operational guidelines. Share knowledge with peers and provide insights on best practices.
  
  

Additional Responsibilities

• Innovation and Best Practices: Stay up-to-date with the latest trends and best practices in data architecture, cloud computing, and AI/ML. Propose and implement innovative solutions that leverage new technologies and methodologies.
• Disaster Recovery and Backup: Design and implement disaster recovery strategies and backup solutions to ensure business continuity in the event of data loss or system failure.
• Cost Management: Analyze and optimize the cost of data solutions on AWS, ensuring that resources are used efficiently and that the overall cost aligns with the budget.
  
  

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
• Experience:
• Minimum of 10 years of professional experience in data architecture, data engineering, or a related role, with a focus on AWS cloud platforms.
• Proven experience in designing and implementing data lakes and data pipelines on AWS using services such as AWS Glue, AWS Lambda, AWS DMS, AWS S3, AWS SageMaker, AWS Lambda and AWS Athena.
• Extensive hands-on experience with AWS Boto3 for automating AWS services and managing resources programmatically.
• Technical Skills:
• Proficiency in Python for developing data pipelines, automation scripts, and data processing tasks.
• Strong understanding of data storage and management in cloud environments, including the design of bronze, silver, and gold data layers.
• Expertise in developing scalable data pipelines to support ML and AI models.
• Deep knowledge of AWS services such as AWS Glue, Athena,EMR, RDS, DynamoDB, and others relevant to data solutions.
• Experience with serverless computing and microservices architecture.
• Familiarity with infrastructure as code (IAC) tools like AWS CloudFormation or Terraform.
• Soft Skills:
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently in a fast-paced, dynamic environment and manage multiple projects simultaneously.
• Strong ownership mentality, with the ability to take full responsibility for delivering complex solutions from concept to production.
  

Preferred Qualifications

• Experience with containerization technologies such as Docker and Kubernetes and their integration with AWS services.
• Familiarity with CI/CD best practices and tools, including AWS CodeDeploy, Jenkins, and other relevant technologies.
• Knowledge of machine learning frameworks and libraries, and experience working with data scientists to deploy ML models in production environments.
  
  

EEO Statement

TRC is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business needs. We celebrate diversity and are committed to creating an inclusive environment for all employees.

The complete job description and application are available on TRC's career site.

TRC accepts applications for this position on an ongoing, rolling basis and reserves the right to cancel this posting at any time.