Lead Optimizely architect designing enterprise digital platforms and AI-enabled experiences for Valtech, an experience innovation company. Advising clients, leading delivery teams, and shaping digital transformation solutions.
Responsibilities
Design enterprise-grade Optimizely solutions aligned with business objectives, technical requirements, and best practices
Define scalable architectures for content management, integrations, personalization, analytics, and digital experience platforms
Provide technical leadership across concurrent projects and guide teams through complex implementation challenges
Produce architecture documentation, technical specifications, and executive-ready presentations
Lead technical discovery, feasibility assessments, and risk identification
Support engineering teams with proof-of-concepts, complex implementations, and critical technical decisions
Establish best practices for content modeling, headless delivery, security, performance, and maintainability
Design integrations across CRM, commerce, CDP, PIM, DAM, analytics, and identity ecosystems
Define data collection, event tracking, and analytics strategies
Design and deliver AI-enabled experiences using Optimizely Opal, LLM services, and emerging AI technologies
Define AI governance frameworks and guardrails covering privacy, compliance, content quality, and human oversight
Champion AI-assisted software delivery, including code generation, testing automation, and developer productivity tools
Advise enterprise clients on technology roadmaps, platform modernization, and MarTech ecosystems
Collaborate with Product Managers, Business Analysts, Delivery Leads, and Creative teams
Contribute to business development, solution shaping, client workshops, proposals, estimation, and pre-sales activities
Evaluate emerging technologies and improve Valtech offerings, accelerators, and delivery standards
Mentor architects and developers and manage a small team of direct reports
Requirements
10+ years of experience in enterprise web development, including at least 5 years in a Solution Architect, Technical Architect, or similar leadership role
Deep expertise with Optimizely CMS 12 and/or SaaS CMS, including multiple enterprise implementations delivered as lead architect
Strong .NET background, including C#, ASP.NET Core, MVC, and Optimizely APIs
Experience with headless and hybrid architectures using Optimizely Graph and/or Content Delivery API
Front-end integration experience with React, Next.js, or similar frameworks
Strong understanding of content modeling, personalization, multisite, and multilingual implementations
Experience designing analytics and data solutions using platforms such as Optimizely Data Platform, Google Analytics, Adobe Analytics, Snowflake, or BigQuery
Proven experience delivering production AI capabilities, including LLM integrations, agents, and RAG solutions
Experience with Optimizely DXP, Azure cloud services, CI/CD pipelines, and Git-based workflows
Experience supporting estimation, solution shaping, and pre-sales activities
Experience leading, mentoring, and developing engineering or architecture teams
Excellent communication and stakeholder management skills
Benefits
Comprehensive insurance plan with Gold, Silver, or Bronze modules; employer contribution up to 80% depending on module
Short- and long-term disability coverage
Dialogue via Sun Life virtual healthcare services
Employee and Family Assistance Program
Complete mental health support program
$500 Personal Spending Account for healthcare reimbursements, gym memberships, public transit passes, office supplies, or RRSP contributions
RRSP matching through a Deferred Profit Sharing Plan (DPSP), matching 100% up to a maximum of 4%
Flexible vacation policy, including 5 days during the probation period and prorated vacation for the remainder of the year
Personal Technology Reimbursement of $30/month, offered from day 1
Winter holiday office closure
Flexible scheduling throughout the year, including sunny Friday afternoons when weekly hours are completed
Reasonable accommodations during the interview process
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