Technical Architect-1

Salesforce•Toronto, ON

1d•CA$179,130 - CA$229,130

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. AFD360 is Salesforce’s high-leverage 'agentic acceleration' function for Agentforce and Data Cloud in regulated industries. We sit at the intersection of pre-sales and delivery to help customers move from interest and pilots to production-grade agents with measurable usage and value—then scale what works through reusable assets and enablement.

Requirements

B.S. Computer Science, Software Engineering, MIS
7+ years customer-facing solution/technical architecture (pre-sales, consulting, implementation) with increasing scope/influence.
Hands-on Agentforce (AI) and Data Cloud builder who can prototype and unblock (deep expertise with platform patterns; building workflows/automation and guiding agent build and data 360 best practices).
Agentic + AI fluency: practical understanding of LLMs, RAG/grounding, evaluation concepts, and how agentic systems behave in production (safety, reliability, governance).
Deep discovery + MVP scoping: ability to run technical & business discovery to define MVP agentic use cases, success metrics, and a feasible execution plan.
Enterprise data/integration fundamentals: APIs/integration patterns, governance/security, and the ability to assess data readiness and architectural feasibility.
Executive + technical communication: able to lead whiteboards and communicate with developers and C-suite with equal fluency—translate architecture to outcomes/ROI.
Proven POC/pilot leadership: designs time-boxed proof points with measurable success criteria and clean transition to production lanes.
Growth mindset: willingness to continually sharpen technical/advisory skills through required enablement, labs, courses, and certifications.

Nice To Haves

Deep Data Cloud specialization: ingestion, modeling/harmonization, identity resolution, activation patterns; strong data architecture vocabulary (ETL/ELT, MDM, lake vs warehouse vs OLTP/OLAP).
Strong engineering depth: Apex and Lightning Web Components (or equivalent) and comfort operating across the SDLC; experience with “vibe coding” tooling is a plus.
SQL and/or Python proficiency (Jupyter/pandas helpful) and comfort with modern cloud data platforms/analytics tooling (Snowflake/Databricks/BigQuery; Tableau/Looker/Power BI).
Experience with other agent platforms (e.g., Gemini/Agentspace or similar) and broader AI automation implementations.
Consumption/business modeling: understands consumption levers and can map anticipated consumption spend from architecture/usage patterns (especially valuable for internal candidates).
Regulated industry background: HLS and/or FINS experience strongly preferred.
Salesforce certifications (AI Specialist, Data Cloud Consultant, Admin/Advanced Admin, App Dev).

Responsibilities

Design and run workshops, demos, and time-boxed POCs/pilots—scope the work, define success metrics, execute, and deliver a clean handoff to production lanes
Lead deep technical + business discovery to scope MVP agentic use cases—translate outcomes/ROI into an executable architecture and activation plan
Build secure, scalable Agentforce + Data Cloud solutions to validate technical feasibility and production readiness
Drive activation—partner with customers on agent definition, configuration, and deployment strategy to accelerate production readiness
De-risk the path to value—assess feasibility across data, security/compliance, orchestration, and operational readiness to ensure the selected use case can scale and be adopted by real users
Serve as an expert technical overlay for internal teams and customers—accelerate scalable agent builds while enabling a self-sufficient agentic capability through reusable patterns, guardrails, and enablement
Evangelize Agentforce enablement across REG—socialize current capabilities, roadmap updates, and best practices; capture and scale field learnings
Work closely with Product, FDE, and cross-OU AI SMEs to continuously sharpen technical depth, close skill gaps, and influence roadmap through structured feedback loops
Identify automation and process improvement opportunities—intake both process and technical requirements to remove friction and accelerate activation
Monitor early consumption/performance; advise on optimization and consumption plan updates
Understand consumption levers and model anticipated consumption spend based on architecture and usage patterns
Own a crisp POC→production transition—coordinate accountable delivery lanes (customer CoE, SI, ProServ, FDE, CS) and execute clean handoffs to ensure durable activation and scalable outcomes
Build reusable accelerators (POC assets, playbooks, best practices) and enable others to scale delivery
Drive Voice of the Customer into Product; inform messaging/plays with Product Marketing
Represent Salesforce at customer/industry events (Dreamforce, World Tours, etc.)