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About the Role

As a Data & AI Technical Architect, you are the expert thought leader and senior field specialist for customers evaluating, implementing, and expanding their use of Salesforce Data 360 (Data Cloud), Agentforce, and the broader enterprise data and AI ecosystem. Your work sits at the intersection of technical architectural, solution engineering, applied data and AI, and delivery-aware judgment on what it takes to make a solution succeed. You help customers translate their data and AI ambitions into practical, actionable architectures. This role asks you to go both deep and wide: deep on the trusted data and agent foundation that everything else depends on, and wide across the ecosystem on which your customers actually run their business — because real architecture lives at the seams between systems, not inside any single product.

Responsibilities

Share a clear point of view on enterprise data and AI — how agents, data platforms, CRM, trust, identity, workflow, governance, and adoption come together into something that delivers value through Salesforce.
Deeply understand our data & AI products and articulate the value of the Salesforce platform.
Partner with sellers and solution teams to uncover customers' real problems, shape technical strategy, and pressure-test feasibility and cost-to-serve early.
Lead customer architectural discussions around Data 360, Agentforce, data structures and patterns, AI readiness, identity management, governance, integration, automation, and business value.
Build customer confidence through demos, prototypes, proofs of concept, reference patterns, and architectural walkthroughs that demonstrate what's real as well as what it will take to operationalize and scale.
Continuously scan the horizon and tinker to refine your judgement on what's worth building and how to build within the data and AI space.
Turn what you learn in the field into reusable assets, enablement, best practices, and product feedback that extend your impact beyond your immediate teams and stakeholders.

Requirements

You are a builder as much as an advisor.
You are comfortable picking up new tools and technology, and are not afraid to get hands-on.
You can craft and deliver an engaging story and also pressure-test the architecture behind it.
You go deep without getting lost and wide without getting shallow.
You bring field presence and credibility across a range of levels with your ability to effectively engage customer executives, enterprise architects, data platform owners, security and governance leaders, technical practitioners, sellers, partners, and delivery stakeholders.
7+ years experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments.
A track record of shaping technical strategy with input from customers and /or stakeholders, validating solution approaches, and connecting business needs to technology decisions.
Strong understanding of enterprise data, AI, integration, governance, security, privacy, and platform architecture concepts and patterns.
Experience working across Sales, Product, Engineering, Support, and delivery or customer teams to move solutions from idea to execution.
The ability to distill and communicate complex technical ideas to executive and technical audiences.
Demonstrated curiosity and learning velocity in emerging technologies — especially within the AI, data, automation, and agentic systems space.

Skills

Salesforce Data 360 (Data Cloud)
Agentforce
MuleSoft
Tableau
Informatica
Salesforce Platform
Conversational AI
voice-enabled AI agents
real-time voice orchestration
telephony integrations
multi-channel service experiences
Snowflake
Databricks
BigQuery
RedShift
AI agents
generative AI
AI governance and observability
external agent ecosystems
hyperscaler AI services
enterprise automation
Python
common data structures and tooling
AI-assisted development pipelines
Building demos
prototypes
proofs of concept
workshops
reference architectures
field enablement assets

Location

California
New York
Boston
Chicago
Seattle
Washington DC

Work Type

Onsite
Remote
Hybrid

Experience Level

7+ years experience in technical architecture, enterprise architecture, solution engineering, consulting, implementation, software engineering, product development, or related work in complex enterprise environments.

Education Level

Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, other STEM degrees or equivalent work experience.
Graduate study a plus.

Salary/Compensations

$148,190 - $231,980 annually
$162,960 - $255,150 per year

Benefits

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

About the Company

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?
Agentforce is the future of AI, and you are the future of Salesforce.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment.
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.