Principal Data and AI Architect

Salesforce•Toronto, ON

6d•CA$179,130 - CA$229,130

About The Position

Salesforce is seeking a Principal Data and AI Architect to join their Data & AI Architects team. This role focuses on helping customers understand and implement the possibilities of the new AI era, requiring expertise in architecture, data foundations, operating models, and adoption paths. The architect will work closely with customers, sales teams, and internal product, engineering, and delivery teams. The ideal candidate will have a strong understanding of the broader ecosystem, a clear point of view, and the ability to guide architectural decisions that lead to trusted business outcomes through AI. This role is for individuals who enjoy solving complex problems, think in systems, and are energized by the transformative impact of AI across organizations.

Requirements

7+ years of experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments.
Proven ability to shape technical strategy with input from customers and/or stakeholders, validate solution approaches, and connect business needs to technology decisions.
Strong understanding of enterprise data, AI, integration, governance, security, privacy, and platform architecture concepts and patterns.
Experience collaborating with Sales, Product, Engineering, Support, and delivery or customer teams to bring solutions to fruition.
Ability to communicate complex technical ideas effectively to both executive and technical audiences.
Demonstrated curiosity and rapid learning in emerging technologies, particularly in AI, data, automation, and agentic systems.
Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, other STEM degrees, or equivalent work experience.

Nice To Haves

Experience with Salesforce Data 360 (Data Cloud), Agentforce, MuleSoft, Tableau, Informatica, or the broader Salesforce Platform.
Experience with Conversational AI, voice-enabled AI agents, real-time voice orchestration, telephony integrations, or multi-channel service experiences.
Experience with modern data platforms like Snowflake, Databricks, BigQuery, or RedShift, and their associated hyperscaler ecosystems.
Experience with AI agents, generative AI, AI governance and observability, external agent ecosystems, hyperscaler AI services, or enterprise automation.
Proficiency in programming languages such as Python, common data structures and tooling, and AI-assisted development pipelines.
Experience building demos, prototypes, proofs of concept, workshops, reference architectures, or field enablement assets.
Graduate study in a relevant field.

Responsibilities

Share a clear point of view on enterprise data and AI, including how agents, data platforms, CRM, trust, identity, workflow, governance, and adoption integrate to deliver value through Salesforce.
Deeply understand Salesforce's data and AI products and articulate the value of the Salesforce platform.
Partner with sellers and solution teams to identify customer challenges, shape technical strategy, and assess feasibility and cost-to-serve.
Lead customer architectural discussions covering Data 360, Agentforce, data structures and patterns, AI readiness, identity management, governance, integration, automation, and business value.
Build customer confidence through demos, prototypes, proofs of concept, reference patterns, and architectural walkthroughs.
Continuously research and evaluate emerging technologies in the data and AI space.
Translate field learnings into reusable assets, enablement materials, best practices, and product feedback.