Data and AI Customer Solutions Architect

Softchoice • San Diego, CA

11d • $143,000 - $180,000

About The Position

Softchoice is seeking a Data and AI Customer Solutions Architect to help strategic customers plan and execute AI transformations. The role combines executive-level solution sales with consulting and technical coordination, guiding customers from AI vision to implementation across Microsoft, AWS, and Google Cloud ecosystems. The architect develops AI strategies, roadmaps, business cases, and adoption plans that connect workplace AI, intelligent agents, data platforms, and governance to measurable business outcomes.

The position owns the executive sales cycle from discovery through close, facilitates C-level discussions, and coordinates account executives, solution architects, engineers, delivery teams, and partners. It also supports partner co-selling and funding motions, maintains pipeline discipline, and promotes responsible AI practices. The role reports to the regional leader of technical sales and involves frequent travel within a designated Sales District, up to 25% of the time.

Requirements

• 5 to 10 or more years of demonstrated success in solutions sales focused on data platforms, analytics, or artificial intelligence.
• A proven track record selling multi-workload programs and professional services.
• Proficiency with Microsoft Fabric, Azure AI, M365 Copilot, and Copilot Studio/Agents.
• Familiarity with AWS Bedrock, SageMaker, data analytics services, and patterns for Amazon Q and related guardrails.
• Experience with Google Cloud Vertex AI, Dialogflow/CCAI, and BigQuery analytics patterns.
• Ability to translate executive objectives such as growth, margin, risk, and customer or employee experience into AI roadmaps and adoption plans.
• Ability to present a clear narrative linking agents, data, and governance to desired business outcomes.
• Capability in leading virtual pursuit teams and coordinating partner co-selling and funding efforts.
• Familiarity with agentic patterns, including Retrieval-Augmented Generation (RAG), tool use, and orchestration, and how these intersect with line-of-business applications and data estates.
• Willingness and ability to travel frequently within a designated Sales District, up to 25% of the time.

Nice To Haves

• Awareness of Databricks and Snowflake lakehouse patterns.
• Familiarity with business intelligence platforms such as Power BI, Looker, or QuickSight, as applicable.

Responsibilities

• Own the executive sales cycle from discovery to close, including mapping business problems to offers, coordinating virtual pursuit teams, shaping proposals and statements of work, and negotiating agreements.
• Build business cases, success metrics, and adoption plans that demonstrate productivity gains, cost savings, and compliance or risk outcomes.
• Facilitate C-level conversations to improve understanding of AI and align customers on specific AI initiatives.
• Partner with Microsoft and other hyperscalers on co-selling and funding opportunities, including workshops, AMMP/MDF, and proof-of-concept funding.
• Maintain accurate Salesforce records and weekly pipeline cadence, using Sales Ops dashboards to monitor funnel additions and sufficiency.
• Promote responsible AI adoption by positioning governance, identity, Purview, DLP, and Center of Excellence patterns.
• Lead and coordinate virtual pursuit teams, including account executives, solution architects, engineers, delivery teams, and partners.
• Translate executive objectives into AI roadmaps and adoption plans that connect agents, data, and governance to business outcomes.
• Travel frequently within a designated Sales District, up to 25% of the time.

Benefits

• Medical, dental, and vision care
• Flexible Spending Account
• Employee Assistance Program
• 401k plan with company matching
• Life and disability insurance
• Paid time off and sick leave, starting at 20 days per year
• Holidays
• Parental leave
• Volunteer days
• Bereavement leave
• Employee discount program
• Competitive benefits available starting on day one

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed