Role: Senior Solutions Architect - AI/ML/Gen AI Solutions

Location: Remote-Canada

Duration: 6-12+ Months

Job Description:

Overview

• We're seeking an experienced Solutions Architect to join our AI Automation team, focusing on designing and implementing AI/ML/GenAI solutions. This role combines technical leadership with hands-on development, requiring expertise in cloud platforms and artificial intelligence technologies.

Key Responsibilities:

• Design and architect end-to-end AI/ML solutions using GCP/Azure cloud platforms

• Lead technical teams in implementing AI/ GenAI automation solutions

• Accountable for removing roadblocks to delivery

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions

• Provide technical guidance to refine business requirements by deeply understanding customer needs and proposing impactful solutions.

• Provide technical guidance and mentorship to development teams

• Develop proof-of-concepts and prototype solutions

• Create and maintain technical documentation and solution architectures

• Evaluate new AI/ML technologies and recommend adoption strategies

Required Qualifications:

• 7+ years of experience in software architecture and development

• Proven experience with GCP and/or Azure cloud platforms

• Strong background in AI/ML solution development and implementation

• Strong experience in evaluating and utilizing LLMs and up to date with the latest evolutions in the GenAI space

• Experience leading technical teams and managing complex projects

• Expertise in modern software development practices and methodologies

• Strong problem-solving and analytical skills

• Excellent communication skills with ability to explain complex technical concepts

• Managerial experience a plus

Technical Skills:

• Cloud Platforms: GCP, Azure

• AI/ML Technologies: Machine Learning frameworks, GenAI platforms

• Software Architecture: Microservices, API design, distributed systems

• Development: Hands-on coding experience in relevant programming languages

• DevOps: CI/CD, Infrastructure as Code

Preferred Qualifications:

• Cloud certifications (GCP Professional or Azure Solutions Architect)

• Experience with large-scale AI/ML deployments

• Background in data engineering and analytics

• Agile methodology experience

• Open-source contributions

• The ideal candidate will combine technical expertise with leadership skills, demonstrating the ability to both architect solutions and guide teams through successful implementation.

• To apply, please submit your resume and a cover letter detailing your relevant experience in AI/ML solution architecture.

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