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Salesforce

Principal Architect

  • Remote
  • 6+ years

Salary

Not stated

Similar roles pay $155K - 235K a year · our estimate

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Description

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

Sales

Job 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.

Principal, AI & Integrated Solutions Architect — Financial Services

Regulated Industries Architecture · Salesforce · Grade 8

About the role

Our Financial Services Industry Architecture team works on Salesforce’s largest and most complex banking, insurance, and wealth management customers. We don’t stop at showing customers what’s possible; we prove it by building it with them. Success here is a working prototype or a deployed asset, not a great deck.

As a Principal AI & Integrated Solutions Architect, you will be the trusted technical lead for a set of strategic FS accounts. You’ll help design agentic AI architectures that hold up under real scrutiny: governed multi-agent systems, headless and API-first experiences, and unified data and integration patterns that span Agentforce, Data 360, MuleSoft, and the customer’s existing systems. You’ll work across the full engagement. That means framing the problem with C-level and Chief Architect stakeholders, building the prototype that proves the value, and handing it off cleanly to partners and delivery teams so it scales into production and becomes a reusable play for the whole organization.

You’ll sit within an FS segment team and belong to the broader Regulated Industries architecture community. That gives you exposure to patterns and peers across financial services, healthcare, life sciences, and the public sector.

Responsibilities

  • Lead agentic AI architecture on strategic accounts (≈30%). Serve as the aligned architect for your accounts. Run discovery and org assessments, set the current- and future-state architecture, and own architectural direction from first conversation through production handoff. Shape decisions on agent orchestration, MCP and agent-to-agent interoperability, headless and composable design, data foundations, and the trust and governance layer.
  • Build to prove value (≈25%). Co-build working prototypes and proof-of-value assets on customers’ own data and objects, using modern AI-assisted development tools. Turn a hypothesis into something a business sponsor can see and use within weeks, not quarters.
  • Run and extend our engagement plays (≈15%). Deliver our defined engagement models. These cover the economics of an agentic operating model, headless experiences that keep governance intact, governed multi-agent systems at enterprise scale, and executive North Star architecture. Add new content and reusable components back to the shared library, so each engagement leaves the next one further ahead.
  • Own the handoff and the path to scale (≈10%). Package architecture, data dictionaries, process maps, and agent metadata so that partners, SIs, and delivery teams can take the work to production without losing the design intent. Hold clear entry and exit gates so delivery stays planned and predictable.
  • Advise executives on FS outcomes (≈10%). Translate architecture into business value for CIOs, CTOs, Chief Architects, and line-of-business leaders. Fit designs to FS regulatory, data residency, model risk, and operating-model constraints. Represent Salesforce at executive briefings, architecture review boards, and industry events.
  • Elevate the team and the field (≈10%). Mentor architects and account teams. Contribute points of view, reference architectures, and reusable assets. Work closely with AEs, SEs, Professional Services, forward-deployed engineers, partners, and product teams, with each role doing its own job well.
  • What success looks like
  • Architecture-sourced pipeline and measurable progression on priority opportunities in your accounts.
  • Agentforce and Data 360 consumption milestones reached and tied to customer outcomes.
  • Prototypes that convert into production commitments and reusable plays adopted by other architects.
  • Customers who treat you as their go-to architecture advisor, shown by repeat engagement and sponsorship from executive and Chief Architect stakeholders.
  • Disciplined engagement records, so your impact is visible and credited.
  • What you’ll bring
  • 10+ years in enterprise or solution architecture, including significant customer-facing work in financial services: banking, insurance, wealth/asset management, or payments.
  • Deep hands-on experience with the Salesforce platform (Financial Services Cloud, Service/Sales Cloud, Data 360) and enterprise integration, ideally MuleSoft and API-led design.
  • Practical, current experience designing and building AI solutions. This includes LLM-based agents, retrieval and grounding, agent orchestration, and emerging interoperability standards such as MCP and A2A.
  • Builder credibility. You personally prototype using code (Apex, JavaScript/Node, Python, or similar) and AI-assisted development tools, and you’re comfortable working in Git-based workflows.
  • Working knowledge of FS regulatory and risk requirements: privacy, data residency, model risk management, auditability, and AI governance. You also know how these requirements shape architecture decisions.
  • Executive presence. You can hold a contested architecture debate with a Chief Architect and move it to a decision.
  • A team-first operating style. You’re comfortable working within aligned coverage, sharing assets, and making others better.

Requirements

  • Salesforce certifications such as Agentforce Specialist, Data Cloud Consultant, Application/System Architect, or progress toward CTA.
  • Experience on the customer or SI side of large FS transformations.
  • Exposure to process intelligence or agentic operations tooling.
  • Published points of view, conference talks, or open reusable assets.
  • Required Qualifications
  • B.S Computer Science, Software Engineering, MIS
  • Knowledge of related applications, relational databases, and ERP technologies
  • Strong oral, written, presentation, collaboration, and interpersonal communication skills
  • Ability to work as part of a team to solve technical problems in varied political environments
  • Minimum of 4 years of professional experience.
  • 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.

Where you’d work

Fully remote

You can work from

  • United States

About the company

Salesforce

  • Industry: SaaS

Also hiring in Amsterdam, Netherlands, San Francisco, United States, Seattle, United States and 35 more places

34 of their 332 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Node.js
  • Python
  • JavaScript
  • LLMs
Seniority
Principal
Type
Full-time
Industry
SaaS
Specialty
Solutions Engineering
Region
United States
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Seniority
Principal
Experience
10+ years
Tech stack
  • Node.js
  • Python
  • JavaScript
  • LLMs

Location

Work model
Remote
Region
United States
Remote from
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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