Technical Architect (Pre-Sales) - All Levels

Salesforce•Chicago, WA

2d•$148,190 - $295,890

About The Position

The Salesforce Cloud Technical Architect is a customer-facing pre-sales enterprise domain expert who applies broad technical skills, industry knowledge, and business acumen to help sales teams develop Salesforce value propositions aligned with customers’ digital transformation and cloud adoption strategies. The architect is a subject matter expert in one or more areas such as business strategy, application architecture, data and information, integration, security, cloud computing, artificial intelligence, distributed platforms, mobile, and analytics. Using a consultative approach, the architect understands business and technical requirements and determines which Salesforce and third-party technologies to use in customer architectures. Decisions draw on product knowledge, industry experience, standard integration frameworks, and Salesforce architecture methodologies. The role applies a broad IT background—including solution and technical architecture, software and systems engineering, cloud computing, and governance—to lead discussions about business and technical considerations in change programs. The architect also helps sales teams develop repeatable propositions and go-to-market strategies, and contributes solution best practices, reference architectures, educational sessions, and industry summits for customers, partners, and internal audiences. The role includes domestic travel. Salesforce describes the position as supporting modern AI-powered solutions, including Agentforce, generative AI, Data360, and Flow orchestration.

Requirements

Ability to understand business and IT department requirements, translate needs into solutions, and present recommendations to executive, technical, and business audiences.
Deep knowledge of enterprise software applications and their delivery.
Some coding experience and willingness to work with code; examples include Apex, Node, Go, R, Java, C#, JavaScript, Python, and Ruby.
Knowledge of database and data-management fundamentals.
Knowledge of web and mobile application development and architecture.
Knowledge of application lifecycle management.
Knowledge of integration principles and tools.
Knowledge of enterprise data-management tools and methods.
Knowledge of process orchestration.
Knowledge of network, application, and information security principles.
Strong oral, written, presentation, interpersonal communication, and relationship skills.
Strategic problem-solving ability, thought leadership, and comfort communicating with executive audiences.
Excellent time-management skills and ability to support multiple concurrent projects.
Inquisitive, practical, passionate about technology and sharing knowledge, with a commitment to lifelong learning.
Willingness and ability to travel domestically.
Bachelor’s degree in Computer Science, MIS, Software Engineering, Electrical Engineering, Data Science, Management Information Systems, another STEM field, or equivalent work experience.

Nice To Haves

Graduate study.
Experience as an architect, solution engineer, IT consultant, or developer in a customer-facing role delivering differentiated software technology solutions.
Hands-on experience building, implementing, administering, or maintaining enterprise software, such as in a software engineer, implementation architect, or integration architect role.
Understanding of risk mitigation, compliance, and security.
Experience with design thinking, persona-based discovery, or other innovation techniques.
Proven experience in a specific field, vertical, or market segment.
Knowledge of the Salesforce platform, including Salesforce certifications and/or Trailhead Superbadges.
Hands-on experience developing, deploying, and managing agentic AI frameworks, including Agentforce and autonomous agents.
Prompt engineering and LLM experience, including chain-of-thought, few-shot, and retrieval-augmented generation techniques.
Experience architecting and integrating generative AI solutions into enterprise systems, including API gateways, model management platforms, and data pipelines for LLMs.
Deep understanding of Salesforce Data360 for unifying, harmonizing, and activating customer data, including preparing and enriching data for generative AI and agent-based applications.
Advanced proficiency with Salesforce Flow to orchestrate business processes involving AI agents and automated workflows.

Responsibilities

Understand business and IT requirements, translate business needs into compelling solutions, and present recommendations to executive, technical, and business audiences.
Determine which Salesforce and third-party technologies to use in customer-driven architectures.
Lead discussions about business and technical considerations related to change programs.
Help sales teams develop specific, repeatable propositions and go-to-market strategies.
Contribute to the delivery of solution best practices, reference architectures, educational sessions, and industry summits for customers, partners, and internal audiences.
Support multiple concurrent projects and travel domestically.
Design modern AI-powered solutions using relevant technologies such as agentic AI, generative AI, Data360, and Salesforce Flow.