Design and govern AI‑enabled, cloud‑native solutions across Azure, AWS and hybrid environments, establish architecture standards and a Center of Excellence.
Responsibilities
Design reference architectures for agentic AI
Define secure integration patterns for enterprise systems
Publish application and integration architecture standards
The AI Architect is responsible for maintaining architectural coherence across GCS AI and Frictionless Time to Value (FTTV) initiatives, shaping use‑case and initiative shaping, backlog review, and initial solution definition before significant engineering effort is committed.
Responsibilities
Participate in the review and maintenance of the complete GCS AI backlog and the shaping of FTTV initiatives
Assess whether proposed applications and FTTV solutions support GCS strategy, process direction, and the intended tooling landscape
Identify duplicate, overlapping, unnecessarily isolated, or technically unclear proposals across the GCS AI backlog and FTTV initiatives before significant engineering effort is committed
Work with business stakeholders and AI Engineering to refine use cases, clarify solution boundaries, and identify dependencies, integration points, and ownership
Provide architecture input into GCS AI backlog and FTTV initiative decisions without assuming ownership of business prioritization
Requirements
Nice to have: enterprise AI applications in production
Lead enterprise data transformation initiatives, shape modern cloud and data architectures, and strengthen the Data Engineering practice by connecting technical excellence, consulting leadership, and measurable business value.
Locations (2)
Toronto, Ontario, Canada
Montréal, Quebec, Canada
Compensation
The expected base compensation for this position ranges from $130,000 to $160,000 CAD, depending on experience, skills, location, and internal equity.
Responsibilities
Partner with clients to understand business objectives, define transformation roadmaps, and architect scalable enterprise data solutions across Databricks, Microsoft Fabric, Snowflake, Azure, and complementary technologies.
Lead end-to-end delivery of complex data engineering engagements, overseeing multidisciplinary teams, technical architecture, delivery quality, risk management, and commercial performance.
Define and govern architectural standards, reusable accelerators, modernization frameworks, and engineering best practices across the Data Engineering practice.
Lead sophisticated onboarding, integration, migration, configuration, readiness, and transition activities for enterprise Identity and Access Management platforms.
Responsibilities
Assess consumer needs, technical dependencies, security requirements, control obligations, and lifecycle stage before beginning enablement work.
Plan and lead sophisticated onboarding, integration, configuration, migration, and adoption activities across enterprise Identity and Access Management platforms.
Guide consumers in selecting and applying approved identity patterns for workforce, application, machine, privileged, and partner identities.
Enable the adoption of identity capabilities spanning identity governance, authentication, directory services, privileged access, federation, identity protection, digital trust, certificate services, and related infrastructure.
Coordinate with Engineering when a consumer need requires a platform change, new capability, architectural decision, or exception to an approved pattern.
Requirements
Bachelor’s degree or equivalent experience in computer science, engineering, cybefield, or a related discipline
Nice to have: Enabling Identity and Access Management platforms in a global, supervised, or compliance-intensive organisation
Nice to have: Producing implementation, migration, control-readiness, or service-transition evidence
Nice to have: Leading enterprise identity migrations, platform consolidations, or the retirement of legacy identity services
Design and integrate modern scalable systems for safety-critical maritime applications, including software defined defense, command and weapon systems and complex systems of systems.
Locations (4)
Wilhelmshaven, Niedersachsen, Germany
Kiel, Schleswig-Holstein, Germany
Rostock, Mecklenburg-Vorpommern, Germany
Hamburg, Hamburg, Germany
Responsibilities
Planning, steering, and technical leadership of maritime development and integration projects across all lifecycles with internal and external environments.
Continuous monitoring and assurance of project success/profitability (performance, quality, time, cost, revenue).
Planning, steering, and technical leadership of maritime development and integration projects across all life cycles with internal and external environments.
Locations (4)
Wilhelmshaven, Niedersachsen, Germany
Kiel, Schleswig-Holstein, Germany
Rostock, Mecklenburg-Vorpommern, Germany
Hamburg, Hamburg, Germany
Responsibilities
Planung, Steuerung und technische Führung von maritimen Entwicklungs- und Integrationsprojekten über alle Lebenszyklen
Stetige Kontrolle und Sicherstellung des Projekterfolges/der Projektprofitabilität (Leistung, Qualität, Zeit, Kosten)
Lead and grow the Data Engineering practice by developing technical capabilities, mentoring consultants, and establishing consistent delivery standards.
Drive technical pre-sales, solution design workshops, strategic proposals, and go-to-market initiatives, developing differentiated offerings and industry-specific use cases.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field