Partner Technical Architect - Agentforce
Salesforce is hiring a Partner Technical Architect - Agentforce in Dublin, Ireland. Level rates it ; you can apply on Level.
AI in this role
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.
Job Category
Customer SuccessJob Details
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.
Salesforce is hiring a hands-on Partner Technical Architect to help top SI partners build and ship production-grade Agentforce solutions at scale.
In this builder role you will work directly with Partner FDEs to turn ambiguous enterprise AI problems into working solutions, reference implementations, and evaluation harnesses, then use what you learn to raise quality and partner-led outcomes.
The best candidate is someone who can build, debug, explain trade-offs, and then package what they learned so many partner teams learn from it.
Salesforce and Agentforce experience are valuable, but they are not the whole profile. We are looking first for strong engineering judgment, applied AI fluency, builder instincts, and the ability to ramp quickly into the Salesforce platform.
What You'll Actually Be Doing
- Prototype quickly to validate ideas, expose platform gaps, and unblock first-of-kind implementation risks.
- Build reference implementations, starter kits, demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy.
- Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance.
- Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness.
- Coach Partner FDEs and architects through design clinics, office hours, portfolio reviews, and targeted technical walkthroughs.
- Translate recurring field blockers into clear product and engineering feedback.
- Help partners connect technical architecture choices to delivery quality, customer outcomes, and consumption economics.
You're Our Person If...
Builder Profile
- You have shipped or seriously prototyped real software, agents, automations, internal tools, or technical demos.
- You can show your work: GitHub repos, demo apps, notebooks, architecture docs, eval harnesses, demo orgs, open-source contributions, or equivalent artifacts.
- You learn new platforms by building with them, not by waiting for perfect documentation.
- You can move fast without losing production instincts around safety, reliability, observability, and maintainability.
- You naturally extract patterns from one-off work and turn them into reusable assets for others.
Applied AI and Agentic Systems
- Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems.
- Ability to reason about multi-agent, human-in-the-loop, and enterprise integration patterns.
- Comfort debugging agent behavior: traces, logs, failure modes, tool calls, bad context, bad data, latency, and user experience gaps.
- Practical understanding of prompt design, retrieval quality, evaluation, hallucination risk, guardrails, and cost/performance trade-offs.
Enterprise Architecture Judgment
- Ability to communicate clearly with engineers, architects, product teams, partner leaders, and executive stakeholders.
- Strong systems thinking across APIs, data flows, identity, security, integration, observability, and operational handoff.
- Strong product sense: you can distinguish a platform gap, a configuration issue, a partner delivery issue, and a pattern worth codifying.
- Comfort operating in regulated or complex enterprise environments where governance, trust, and delivery risk matter.
Even Better If...
- Hands-on Salesforce, Agentforce, Data Cloud, Apex, Flow, LWC, MuleSoft, or multi-cloud architecture experience is preferred.
- Salesforce certifications are helpful, but not required if you can demonstrate strong builder evidence and rapid platform learning.
- We value candidates who can learn the Salesforce stack quickly and translate broader engineering/AI experience into partner-ready Agentforce patterns.
- Experience working with system integrators, partner delivery teams, or complex enterprise implementation programs.
- Published technical work: open-source projects, internal platform docs, talks, blog posts, or reusable architecture patterns.
- Experience creating maturity models, readiness checks, production-readiness scorecards, or technical review frameworks.
- Familiarity with consumption economics, agent cost modeling, TCO, or outcome-based delivery models.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
How we rate this
Partner Technical Architect - Agentforce at Salesforce rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, and AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new software engineering jobs (Works on AI ●●●○ or higher) by email
One email a week with the new software engineering jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step