The Salesforce ecosystem is changing – the jobs of yesteryear are evolving, thanks to the widespread disruption brought about by artificial intelligence tools.
Debate about AI replacing certain Salesforce roles – or at least making them harder to break into for newcomers – has been raging for some time now, but the advocates of AI typically fall back on the same argument, roughly summarized: ‘Sure, AI might eliminate some repetitive tasks, affecting some jobs, but new opportunities will be created!’
With Agentforce now approaching its second birthday, it’s time to examine precisely how AI has affected the Salesforce job market in particular – and examine the new roles which have been created.
1. Forward Deployed Engineer
Salesforce has posted advertisements for several Forward Deployed Engineer (FDE) positions, describing the job as that of a ‘technical builder’ who designs, builds, and deploys agentic AI solutions within customer environments.
Interestingly, in one such role, Salesforce specifically mentions AI-assisted engineering in the job description, saying the successful candidate will have modern AI tools like Cursor, Claude, and Vibes embedded “directly into your daily developer workflow” to move from architecture sketch to deployable code in “days, not months”. That role is also somewhat curiously categorized as a ‘Sales’ role.
Salesforce set up its FDE team in April last year to aid customers in Agentforce adoption, according to Jennifer Cramer, Senior Vice President, Forward Deployed Engineering at Salesforce. Earlier this year, she told MarketWatch: “Customers need our help prioritizing use cases, prioritizing their datasets… We need someone to start building with them and alongside them.”
She added that Salesforce is planning to grow its FDE team to 1,000 members.
Salesforce FDEs are oftentimes focused on specific use cases with individual data sets, like helping Engine – the business-travel booking platform – make a tool that handles cancellation requests. This, according to Cramer, is more effective than attempting to “boil the ocean with your entire data strategy”.
While some of the CRM company’s FDEs work individually, Salesforce has been deploying groups made up of one deployment strategist (see below) and two FDEs, reports say.
This appears to be a new, chimeric role combining elements from the job descriptions of Senior Developers, Technical Architects, Consultants and certain customer-facing Engineering roles.
The FDE is not a new role globally, but it’s becoming well-established in the Salesforce ecosystem – including at the ‘Mothership’ itself.
2. Deployment Strategist
Salesforce is looking to hire Deployment Strategists – described as ‘strategic builders’ who act as customer-facing advisors, defining AI strategy, shaping agentic solutions, and driving adoption for enterprise customers.
As mentioned above, Deployment Strategists work alongside FDEs to turn business needs into AI deployments. Engagements are focused and time-bound – ‘typically 12 weeks or less’, according to Salesforce – and might span one strategic account or several customers at the same time.
This role appears to take elements from the typical Business Analyst job description, but while remaining accountable for whether the agentic solution actually launches and produces value, instead of stopping at the roadmap, requirements, or recommendation stage.
3. AI Builder
Salesforce’s Futureforce University Recruiting program is looking to hire AI Builders, as part of its AI Builder New Grad cohort.
The role will include developing AI agents, designing how agents think, partnering with clients to build agentic solutions for business problems, using ‘consultative skills’ to make sure Salesforce’s technology meets real-world needs, and iterating and deploying solutions.
“Test it, break it, fix it, ship it. Repeat. You will own your work from day one,” Salesforce says in the advertisement.
Again, the role combines technical skills like working with JavaScript, Python, and Apex with commercial and stakeholder-facing skills. This is probably the clearest example of a genuinely new entry-level Salesforce job we have seen so far. And, like the company itself says in the job posting: “Nobody has 10 years of experience in this new frontier, which means your ideas carry real weight from day one”.
While ‘Agentforce Builder’ is something of a generic job description, Salesforce itself is using the title ‘AI Builder’ for its graduates. It combines elements from software engineering, consulting, and solution engineering.
4. Applied AI Coach
Another role at Salesforce itself. The Applied AI Coach is part of the new Outcome Acceleration team – which works with Agentforce to stay ahead of customer needs and make sure AI delivers real results.
The successful candidate will own the customer journey from the first sale until their AI deployment is stable and delivering value. They will design and execute success plans to measure whether AI agents are meeting their goals and matching the original business case.
The Applied AI Coach will also run “four-week sprints” to diagnose and resolve performance issues when AI results are lagging; lead business reviews with customer teams, showing real value through outcome data rather than simple usage reports; and track AI agent deployment and adoption weekly to ensure stability in production.
Another unusual early-career route into the world of Salesforce’s agentic push, this role was advertised earlier this year and required only 1-3 years of work or internship experience in technical roles like data analytics, engineering, or technical support.
The role appears to be a kind of value auditor, who makes sure that customers are actually getting value from their AI deployments. It’s a step beyond – or perhaps in simply a lateral direction from – your traditional Customer Success Manager, with the Applied AI Coach needing the technical and analytical fluency to understand why an AI system is behaving unexpectedly.
5. Agentforce Architect
Technology consulting company Accenture advertised a role for a ‘Salesforce Agentforce Architect’ for its Advanced Technology Centers (ATCs).
The Salesforce Agentforce Architect will lead the design and delivery of AI agent solutions for Agentforce, defining agent architecture and turning business requirements into reliable, governed, production-grade agents.
The role also involves owning the technical approach for agent build, integration, testing, monitoring, and continuous accuracy tuning.
Key Responsibilities include leading Agentforce solution design from discovery through go-live and hypercare, owning the end-to-end technical architecture. Also, leading complex Marketing Cloud development projects and technical initiatives from conception to completion, along with designing prompt strategies using Prompt Builder, Data Cloud/RAG, and retrieval patterns – engineering prompts for ‘accuracy and hallucination control’.
This is an adaptation of the traditional Salesforce Architect role, for the AI era. It’s curious to note that controlling prompts to minimize hallucinations is specifically built into the role.
Final Thoughts
The theme here is that, in 2026, the Salesforce professional is not so much defined by which Cloud they know, but rather by which part of the agentic lifecycle they can own.
While the AI advocates have a point about AI creating jobs, they’re not off the hook entirely when it comes to AI causing disruption for the average worker. Higher barriers to entry, falling demand for some traditional roles, and role consolidation all need to be considered, but the traditional administrator, developer, and architect are not disappearing.
Around them, a new layer of strategists, builders, and evaluators is being created. That’s where Salesforce seems to think the value in its ecosystem is moving.
