AI Solutions Architect leading design and implementation of AI - powered solutions for Innovecs. Shaping AI architecture strategy and driving automation across product and engineering landscape.
About the role
- Senior Solution Architect at Intact evolving Data and AI platforms. Collaborating across teams to deliver secure and scalable solutions that impact business.
Responsibilities
- Evolve the Enterprise Data Platform and AI platform architectures, including integrations with corporate systems and market tools
- Contribute to and execute the Data & AI Strategy while defining and refining the Architecture patterns
- Deliver architecture blueprints and implementation strategies that meet enterprise security and data protection standards; ensure alignment to corporate vision and objectives while proposing innovative approaches
- Collaborate with members of various technical teams, business teams and delivery teams to develop solutions that address key customer needs while adhering to EA principles and guidelines
- Execute and evolve architecture processes; create and maintain architecture models, roadmaps, and strategies (platform, application, data, integration, security)
- Lead risk and cost analyses, including build vs buy strategies and recommendations
- Lead and facilitate research and assessments of new approaches and technologies (e.g., serverless, event-driven, GenAI, MLOps, IaC) for potential use
- Design AI/ML solution architectures and model-serving/hosting patterns; evolve ML platform capabilities (feature stores, experimentation tracking, pipelines/orchestration)
- Promote event-driven and serverless patterns where beneficial; enable DevSecOps, MLOps, and Infrastructure as Code with strong observability (monitoring, logging, alerting)
- Lead cross-team dependency management for complex migrations and platform transitions, drive standards and best practices
Requirements
- 10+ years in a Solution Architecture role
- Experience architecting Data and AI platforms in the cloud (e.g., AWS Lambda, S3, EC2, ECS, RDS, DynamoDB, API Gateway, ALB, CloudWatch, Amazon SageMaker)
- Agile delivery experience
- Secure architecture principles (compliance, authentication, authorization, monitoring, alerting)
- Experience with AI/ML solution and platform architecture: model lifecycle, hosting/serving patterns, experimentation, and pipelines into Databricks and/or SageMaker
- Familiarity with generative AI platforms (e.g., AWS Bedrock, Mosaic AI, OpenAI) and frameworks (e.g., LangChain, LangGraph)
- Familiarity with ML technologies and ecosystems (e.g., Spark, PyTorch)
- Experience with container-based technologies and orchestration (Docker, Kubernetes/OKE)
- Data modeling and analytics tooling: Snowflake, Data Vault, Informatica IICS, Power BI, PowerDesigner
- Architecture frameworks/certifications: TOGAF or similar; CGI RCDA experience
- AWS certifications: Solutions Architect Associate (preferred); Developer Associate; SysOps Associate; Machine Learning Specialty; Terraform Associate
- Knowledge of the insurance business is an asset (e.g., policy, billing, claims, sales, self-serve, telematics, customer experience, document processing, analytics)
Benefits
- Flexible work arrangements and a hybrid work model
- Possibility to purchase up to 5 extra days off per year
- Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
- Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
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