AI Architect

AI Architect

We are seeking an AI Architect to embed with our largest, most complex enterprise clients and lead the deployment of cutting-edge Salesforce Agentforce solutions. This high-impact role combines deep hands-on AI systems engineering, enterprise platform architecture, and high-visibility client leadership.

You will bridge the gap between business strategy and autonomous AI execution. You will "command the room" with C-suite stakeholders, dive deep into code and data pipelines, and build scalable, production-grade Agentforce architectures that deliver immediate, measurable business transformation.

Role Responsibilities:

• Field Engineering & Autonomous AI Execution

• Embed directly with client engineering and business leadership to rapidly prototype, architect, and deploy custom Agentforce autonomous agents, topics, actions, and guardrails.

• Design and implement complex agent workflows utilizing Einstein 1 Platform, Data Cloud, and custom API actions (Apex, Flow, MuleSoft, and external REST endpoints).

• Establish robust evaluation, testing, and observability frameworks (evals) to monitor agent accuracy, hallucination rates, latency, and business performance in production.

• Unblock critical deployment bottlenecks in real-time, functioning as the high-velocity engineering engine on $2M+ strategic engagements.

• Enterprise Architecture & Data Strategy

• Own the end-to-end technical architecture for multi-cloud, AI-driven implementations, ensuring enterprise-grade scalability, security, context grounding, and compliance.

• Architect real-time data pipelines using Salesforce Data 360 to power Agentforce context engines, unifying disparate data lakes (Snowflake, Databricks, BigQuery) with CRM data.

• Produce clear architectural artifacts, including system sequence diagrams, agent action flows, data schemas, and security/governance frameworks.

• Evaluate emerging AI/LLM models, prompt engineering patterns, and Agentforce features to build reusable assets, agent templates, and internal accelerators.

• Strategic Client Leadership & Practice Growth

• Serve as a trusted technical advisor to C-suite, VP, and Enterprise Architecture stakeholders, framing complex AI paradigms into clear business outcomes.

• Lead high-stakes discovery sessions, live agent demonstrations, and architectural design reviews.

• Partner with Delivery Leadership and Account Executives to scope, estimate, and technically validate high-value Agentforce proposals.

• Share field-tested insights and deployment patterns with internal teams to help mature our Agentforce Center of Excellence.