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AI Strategy & Transformation Architect

Canada Full-time AI Solutions Lead
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Original posting on LinkedIn

Why NeuraFlash, Part of Accenture

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you're ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

The AI Strategy & Transformation Architect is a senior advisory role within NeuraFlash's Agentic practice. The core focus is guiding clients through AI transformation, moving beyond high-level strategy to implementation by turning ambiguous business problems into working software and structured roadmaps.

The work is at the intersection of AI strategy and delivery. Our clients are trying to figure out where AI belongs in their business, what it takes to get there, and how to make change stick. Your job is to guide them through that, not with a slide deck and a handoff, but with a structured, repeatable approach that turns ambiguity into a roadmap and a roadmap into working software.

The right person for this role is equally comfortable in a C-suite strategy session and a backlog grooming meeting. They understand Agentforce and Einstein at a level of depth that earns technical credibility, and they've seen enough AI deployments — successful ones and ones that struggled — to advise clients honestly.

What You'll Do

Lead Client Advisory Engagements

Serve as a trusted advisor across paid advisory engagements — sometimes as the primary client lead, sometimes co-leading alongside an account or delivery partner
Facilitate working sessions and interviews with executive and cross-functional stakeholders to surface business priorities, pain points, and transformation ambitions
Shape ambiguous problems into structured problem statements with clear scope and defined success criteria
Produce strategy-grade artifacts: capability models, AI use case portfolios, prioritized roadmaps, operating model designs, and governance frameworks

Design AI-Infused Business Processes

Lead end-to-end business process analysis and redesign with AI as a core design input — not a bolt-on
Identify where agentic AI, automation, and human-in-the-lead models create the most durable business value
Map current-state workflows to future-state operating models, surfacing gaps in data readiness, governance, and organizational capability
Translate process and capability findings into AI use cases scoped for delivery — with clear owners, dependencies, and success metrics

Bridge Strategy to Delivery

Stay connected to the delivery team through build helping to translate strategic intent into user stories, agent design patterns, and acceptance criteria
Serve as the connective tissue between business architecture and technical architecture on the Salesforce platform
Partner with Solution and Technical Architects to pressure-test what's been designed before it gets built
Own the handoff from advisory to implementation in a way that doesn't lose the 'why' behind every decision

Build the Practice

Contribute reusable IP: frameworks, playbooks, assessment tools, discovery accelerators — that the broader practice can use
Bring a point of view on where agentic AI is headed and help NeuraFlash stay ahead of it
Support proposal development and SOW scoping for advisory engagements where your domain expertise is needed

What You Bring

Experience

10+ years in management consulting, enterprise strategy, or digital transformation
3+ years leading Salesforce-based engagements at a delivery or architecture level (not just recommending it from the outside or from a presales perspective)
Hands-on experience designing and operationalizing agentic AI use cases — you've built the business case and watched it get built
Track record of leading executive-level workshops and strategic decision sessions, not just presenting in them
Experience designing future-state operating models, not just documenting current-state processes

Platform & Technical Depth

Strong functional and conceptual understanding of the Salesforce platform — Agentforce, Service Cloud, Sales Cloud, Field Service, Data Cloud, Einstein — deep enough to speak credibly with solution architects and challenge design decisions, without needing to be a developer or hands-on configurator
Familiarity with how agentic AI constructs (actions, topics, instructions, grounding) map to real business use cases
Working knowledge of AI/LLM ecosystems (Salesforce Agentforce, OpenAI, AWS, Azure) and how they apply to enterprise transformation
Understanding of data readiness, integration architecture, and governance requirements for AI deployment — you know what makes or breaks an AI rollout

Craft & Communication

Strong facilitation skills — you can run

Listing structured with AI support from LinkedIn. Always confirm the conditions with the company before applying.
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This is a ai solutions lead position on a full-time basis in Canada. The exact schedule and conditions are in the original posting from the company.

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