Match score not available

AWS AI Architect

UNLIMITED HOLIDAYS - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Deep understanding of AI/ML concepts, Expert knowledge of AWS AI services, Proficiency in data integration technologies, Strong programming skills in Python, SQL, Bachelor's degree in a related field.

Key responsabilities:

  • Collaborate with stakeholders to design AI solutions
  • Serve as subject matter expert on AWS AI technologies
  • Lead project planning, execution and delivery
  • Ensure AI solutions adhere to best practices
  • Foster a culture of innovation through mentoring
Toast logo
Toast Startup https://www.trytoast.ca
2 - 10 Employees
See more Toast offers

Job description

Logo Jobgether

Your missions

This is a remote position.

Please note: Toast is recruiting on behalf of this company for potential future opportunities. While this role is not currently available, we are building a pipeline for upcoming positions. If you're interested in being considered for future openings, we encourage you to apply and stay connected with us for updates.

Description:
Toast is recruiting on behalf of this company for an experienced AI Architect to join the rapidly expanding AWS Alliance team. As a key member of the Cloud Computing and Networking practice, you will design and deliver advanced AI solutions that empower clients to achieve their business goals through cutting-edge technology. Your role will focus on transforming business requirements and large datasets into actionable AI models and solutions, while leading technical teams through project planning, execution, and delivery.

Key Responsibilities:

  • Solution Delivery: Collaborate with stakeholders to gather requirements, conduct discovery sessions, and design AI solutions that align with business objectives.
  • Technology Leadership: Serve as the subject matter expert (SME) on AWS AI technologies, leading teams and providing technical guidance on AI and machine learning projects.
  • Project Oversight: Lead project planning, execution, and delivery, ensuring timely completion while addressing any risks, blockers, or issues.
  • AI Best Practices: Ensure AI solutions are robust, scalable, and adhere to AWS best practices, promoting Agile and Scrum methodologies.
  • Team Development: Foster a culture of innovation, continuous learning, and technical excellence by mentoring and coaching AI delivery teams.
  • Stakeholder Communication: Translate complex AI concepts into understandable insights for stakeholders, maintaining regular reporting on engagement progress and team performance.
  • Practice Growth: Participate in hiring, sales support, marketing, and brand-building initiatives, such as creating thought leadership content and demos for events like AWS Summits.


Requirements
  • AI Expertise: Deep understanding of AI/ML concepts, including natural language processing, computer vision, and statistical modeling. Experience with AWS Well-Architected Framework (ML Lens) is preferred.
  • AWS Technologies: Expert knowledge of AWS AI services, such as Amazon SageMaker, Bedrock, MLOps, and related infrastructure (e.g., CDK, EC2, IAM, and AWS Step Functions).
  • Data Technologies: Proficiency in data integration, ingestion, and processing across structured and unstructured data sources, including technologies like AWS Glue, Amazon Redshift, Snowflake, and Databricks.
  • Technical Skills: Strong programming skills in Python, SQL, and machine learning libraries (e.g., scikit-learn, Keras, Pandas).
  • Leadership Experience: Proven ability to lead multi-workstream AI projects and manage teams in enterprise settings.
  • Communication Skills: Excellent verbal and written communication, capable of simplifying technical concepts for business stakeholders.
  • Education: Bachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD is a plus).
  • Certifications: AWS certifications are a bonus.




Benefits
This company offers a competitive compensation package, including flexible work arrangements, a supportive work environment, and opportunities for professional growth. Employees are encouraged to work in a hybrid model, with in-person collaboration expected at least 50% of the time to maximize team engagement and client outcomes.

This is a chance to lead impactful AI initiatives while working in a dynamic, diverse, and innovative organization that fosters inclusion and continuous learning.

Toast's Process:
  1. Application Review: Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!
  2. Vetting Call: If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.
  3. Profile Creation: Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.
  4. Client Submission: After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.




Salary:

TBA

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Soft Skills

  • Leadership
  • Team Building
  • Communication

Related jobs