Software Engineer
Principal Solution Engineer focused on delivering AI-powered Salesforce CRM solutions, driving cloud architecture and integration strategies to transform business operations and enhance customer success.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
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About Salesforce
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 .
The Principal Solution Engineer in Strat FINS will interact with the largest insurance and financial firms to demonstrate and deliver the latest Salesforce capabilities to meet business needs. This includes a heavy emphasis on AI and Vibe coding in workshop and collaborative environments.
Key Responsibilities:
As a Solution Engineer in Strat FINS, your core focus will be driving technical alignment and showing concrete value through hands-on execution:
Lead AI & AgentForce Workshops: Create, deliver, and manage high-impact, interactive customer workshops. You will guide executive stakeholders through the art of the possible, focusing heavily on AI capabilities and AgentForce deployment.
Build PoCs and PoTs: Design and develop sophisticated Proof of Concepts (PoCs) and Proof of Technology (PoTs) . You will be hands-on in development orgs and customer sandbox environments to validate architecture and prove feasibility.
Co-Innovate with Customers: Collaborate directly with customer technical and business teams to build prototype solutions, ensuring a deep sense of co-ownership and technical validation.
Translate Value: Articulate complex AI architectures and Agentic Use Cases into tangible business value summaries that resonate with C-level financial executives.
Required Skills & Qualifications:
AI Fluency & Technical Execution
Deep AI Expertise: Strong fluency in modern AI paradigms, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), and autonomous agent architectures.
Hands-on Builder: Proven experience building with modern AI tools, low-code/pro-code AI builders, and specifically AgentForce or equivalent autonomous agent frameworks.
Environment Management: Comfort working within complex development orgs and customer sandbox environments; ability to safely configure, test, and deploy prototype solutions.
Domain & Consultative Expertise
FINS Acumen: Deep understanding of the Banki
Posted June 20, 2026