Solution Architect, Machine Learning Applications

Travel is not just about the destination; it's about every memory made along the way. We are dedicated to shaping the future of travel by partnering with 250+ airline, hospitality, cruise, passenger rail, and financial services companies to create new, meaningful revenue streams through incredible customer experiences. Rooted in our core values of being ambitious, innovative, and collaborative, we are driven to continuously raise the bar, exceed expectations, and bring out the best in everyone, fostering a culture where we believe we are better together, working towards an extraordinary future in travel. Come help us transform everyday travel into extraordinary experiences.

ABOUT THE ROLE:
As the Solution Architect for the Machine Learning Applications team, you will be the architectural cornerstone of our ML ecosystem. You will be responsible for designing and overseeing the deployment of innovative platform solutions that solve complex business problems. This role requires a deep foundation in software development, high-level problem-solving skills, and the ability to align cross-functional teams across Data Science, Data Engineering, and Enterprise Architecture.

WHAT YOU WILL BE DOING:
Reporting to the Director, ML Applications, Product Intelligence, you will:
•Lead the end-to-end architectural design for machine learning applications, ensuring all solutions are highly-available, low latency, scalable, robust, and reusable.
•Partner closely with the Data Science team to ensure models are production-ready and aligned with application requirements.
•Collaborate with the Data Engineering Architect to synchronize data pipelines, storage solutions, and feature delivery.
•Work with the broader community of organization architects to reach consensus and ensure consistency across technology standards.
•Design "Full-Stack" solutions that encompass both complex back-end ML logic and intuitive front-end delivery layers.
•Actively contribute to the codebase by developing core Python application components and integration logic.
•Manage technical delivery by adhering to the team roadmap and ensuring all solutions are feasible to deliver by designated due dates.

YOU ARE SOMEONE WITH:
•7+ years of experience in software engineering or systems architecture, with a significant focus on Machine Learning systems.
•Expert-level proficiency in Python and its associated ecosystem for application development.
•Proven experience designing and implementing full-stack architectures (Back-end APIs and Front-end frameworks).
•Strong knowledge of distributed systems and scalable infrastructure (e.g., Docker, Kubernetes, AWS).Experience managing the lifecycle of production-grade machine learning applications.
•Effective communicator and collaborator, capable of aligning technical strategies between data scientists, engineers, and stakeholders.
•Self-disciplined, motivated, and a problem-solver mindset.

NICE TO HAVES:
•Knowledge of Data Science principles and experimental workflows.
•Experience with ML Ops frameworks, preferably SageMaker.
•Familiarity with Vector Databases and Large Language Model (LLM) orchestration.
•AWS Solution Architect certification.
•Experience with UI/UX optimization for data-heavy applications.

OUR TECH STACK:
• Languages: Python, SQL, Spark, PySpark
• Tools: Snowflake, SnowPark, Splunk
• AWS Services: EKS, SageMaker, Bedrock, DynamoDB, Kinesis, RedShift, Lambda and others
• Containerization: Kubernetes, Docker
• Version Control: GitLab
• Data & Analytics: Dataiku, Tableau

WHAT YOU’LL LOVE ABOUT US:
🏦 RRSP Matching
🏥 Comprehensive Health Plans
📅 Flexible Paid Time Off
✈️ Travel Experience Perk
🧘 Annual Wellness Perk
🚆 Commuter Perk
🌅 Tenure-based Work From Anywhere Program
🍼 Parental Leave Top Up
🌍 Adventure Pass
🎓Learning Allowance

OUR PROCESS:
Plusgrade is an equal-opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunities regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request we will provide accommodation for applicants with disabilities. If you have a preference regarding the language of your interviews, please inform our Talent Team when they reach out to you.

We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. We may utilize technology-assisted/ artificial intelligence tools to help us screen, assess, and select applicants for this position. This job posting is for an existing vacancy.

All applications will be reviewed from our Talent Team and the successful candidate(s) will go through the following recruitment process:
-Recruiter Phone Interview
-Hiring Manager Interview
-Test or case study or take-home assessment (if applicable)
-Team Interview
All candidates will be provided with feedback regardless if they pass or didn’t pass any of our interview stages. All your information will be kept confidential.

The base salary range is tailored to the advertised location and determined by several factors, including candidate expertise and internal peer equity. Final placement is based on a candidate’s specific skill set and experience relative to the role's requirements.