Data and AI Customer Solutions Architect

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Data and AI Customer Solutions Architect

We are a software-focused IT solutions and services provider that equips organizations to be agile and innovative, and for their people to be engaged, connected, and creative t means moving them to the cloud, helping them build the workplace of tomorrow, and enabling them to make smarter decisions about their technology. By doing these things we help them create success for their customers and their people.

We stand proudly for our people and support their success through career development and advancement. We are recognized and respected for our culture of inclusion and belonging, continuously striving to do what’s good for our people and communities.

The impact you will have:

Are you ready to be at the forefront of the AI revolution, shaping the future of how organizations harness cutting‑edge technology to drive real, measurable results? As a pivotal member of our team, you won’t just be selling solutions—you’ll be empowering our customers to unlock the full potential of workplace AI, intelligent agents, and robust data platforms, regardless of the cloud ecosystem they prefer.

At Softchoice, your influence will reach far beyond pilots and proofs of concept. You’ll have the unique opportunity to architect and deliver AI strategies that become the backbone of our customers’ success, transforming how they work, innovate, and compete. Through our integrated consulting and engineering approach—leveraging deep alliances with Microsoft, AWS, and Google Cloud—you’ll help organizations move from vision to execution, making AI practical, durable, and truly impactful.

Imagine being the trusted advisor who brings clarity to complex challenges, guiding senior executives to align on a transformative AI roadmap. You’ll be instrumental in shaping business cases that deliver productivity gains, reduce operational costs, and strengthen compliance—while mapping out the tangible ROI that drives executive buy‑in and long‑term adoption.

In this role, you’ll quarterback a high‑performing team of account executives, solution architects, and technical experts, orchestrating seamless collaboration to deliver AI solutions tailored precisely to each customer’s unique needs. You’ll facilitate boardroom‑level discussions, influence strategic decision‑making, and see your recommendations come to life in ways that redefine what’s possible for your clients.

What you will do:

• Own the executive sales cycle from discovery to close: map business problems to offers, orchestrate virtual teams (pre‑sales architects, delivery, partners), shape proposals/SOWs, and negotiate to signature.

• Lead with value/ROI: build business cases (productivity, cost to serve, compliance/risk), success metrics, and adoption plans for measurable impact.

• Facilitate C‑level conversations to enhance understanding of AI and bring alignment at customers to specific AI initiatives.

• Partner co‑sell & funding: align with Microsoft (and other hyperscalers) to unlock workshops, AMMP/MDF, and POC funding motions that accelerate deals.

• Pipeline discipline: maintain accurate Salesforce hygiene and weekly cadence on funnel adds and sufficiency; leverage Sales Ops dashboards.

• Evangelize responsibly: position governance, identity, Purview, DLP, and COE patterns to reduce risk while scaling value.

What you bring to the table:

Professional Experience

• The ideal candidate will bring 5 to 10 or more years of demonstrated success in solutions sales, specifically focused on data platforms, analytics, or artificial intelligence. This experience should include a proven track record in selling multi‑workload programs and professional services.

Cloud and Platform Expertise

• Microsoft:
Proficiency with Microsoft Fabric, Azure AI, M365 Copilot, and Copilot Studio/Agents.

• AWS:
Familiarity with Bedrock, Sage Maker, and a range of data analytics services, including an understanding of patterns for Amazon Q and related guardrails.

• Google Cloud:

Experience with Vertex AI, Dialogflow/CCAI, and Big Query analytics patterns.

• Ecosystem:
Awareness of Databricks and Snowflake lakehouse patterns, as…