AI Architect

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Job Category

Software Engineering

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.

AI ARCHITECT
Deployment Strategist

Agentoforce

About The Role
We are seeking an Forward Deployed Engineer - Deployment Strategist, a pivotal hybrid role, leveraging technical expertise and strategic problem-solving to deploy AI-powered solutions on Salesforce, focusing on business impact and adoption. This trusted advisor role bridges customer needs with product innovation for long-term success and value realization. The Deployment Strategist will lead a peer group of FDEs, overseeing deployments, fostering collaboration, setting goals, and addressing challenges. They will also connect customer needs with product development, offering field insights to influence enhancements and accelerate the product roadmap, ensuring the Agentforce platform remains at the forefront of AI solutions. A successful Forward Deployed Engineer - Deployment Strategist will deeply understand our customers' most complex problems, crafting and deploying innovative, impactful solutions that leverage our Agentforce platform and beyond.

Your Impact

• Strategic Solution Architecture & Design: Lead the analysis, design, and hands-on solutioning of intelligent AI-powered agents within Salesforce environments, leveraging Agentforce, Data Cloud, Flow, Lightning Web Components (LWC), Apex, and Salesforce APIs. Synthesize complex business challenges into clear, actionable technical requirements and strategic deployment plans.
• AI & Data Mastery for Impact: Own the end-to-end data landscape, designing robust data models, building efficient processing pipelines, and establishing seamless integration strategies. Apply advanced AI orchestration frameworks, LLM integration, and prompt engineering techniques to build sophisticated, production-ready conversational AI solutions that optimize data for AI applications.
• Full-Lifecycle Deployment & Optimization: Oversee the successful deployment of solutions, ensuring flawless integration with existing customer infrastructure. Continuously monitor performance, identify bottlenecks, and implement optimizations for long-term reliability, scalability, and security, including building guardrails to govern agent behavior.
• Entrepreneurial Execution & Rapid Prototyping: Operate with a "get-things-done" mindset, focusing on rapid prototyping, iterative development, and quick delivery of impactful solutions. Thrive in dynamic, ambiguous environments, adapting swiftly to evolving customer priorities and technical challenges.
• Trusted Technical & Strategic Partner: Embed deeply with client teams (from analysts to C-suite executives) to truly grasp their operational challenges and strategic goals. Act as a primary technical advisor, providing expert guidance and presenting results and proposals that drive measurable value and adoption.
• Product Evolution & Feedback Loop: Serve as a vital feedback loop between customers and internal product/engineering teams. Field observations will directly influence future product enhancements, help shape the strategic direction of our platform, and contribute to broader scalable product improvements.
• Business Process Transformation: Analyze existing business processes and identify opportunities for automation and enhancement through intelligent agents, guiding customers through process transformation and reengineering.
• Team Leadership in Deployment Execution: Lead a group of peers in the execution of deployment initiatives, providing technical guidance, fostering collaboration, and ensuring successful project delivery against strategic objectives.

Required Qualifications

• 5+ years of hands-on solutioning experience, including design, implementation, and testing of cloud-based technologies and architecture principles, with a proven track record of end-to-end delivery of high-quality, scalable production solutions
• Hands-on experience building solutions with AI/LLM technologies
• Experience in data modeling, processing, integration, and analytics, with proficiency in data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks)
• Exceptional ability to confront open-ended problems in unstructured, ambiguous environments, demonstrating a curious, analytical, and solution-oriented approach
• Demonstrated entrepreneurial spirit, a "get-things-done" attitude, and a relentless focus on fast delivery and measurable customer impact
• Excellent collaboration and communication skills (written and verbal), with the ability to explain complex technical concepts to non-technical stakeholders and C-suite executives, and translate business needs into technical requirements
• Proven team leadership experience
• Prior customer-facing experience in a technical, implementation, or consulting role, acting as a trusted technical advisor
• Ability to travel 25-50% of the time, as needed to customer sites

Preferred Qualifications:
(must)

• Understanding of the Salesforce platform and ecosystem, including Flow, Lightning Web Components (LWC), and Salesforce APIs
• Experience with Salesforce Data Cloud and/or Agentforce platform
• Experience developing conversational AI solutions within regulated industries or highly sensitive environments (e.g., healthcare, finance)
• Proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex)
• Salesforce platform certifications (e.g., Administrator, Platform Developer I/II, Architect, Data Cloud Consultant, Agentforce Specialist)
• Knowledgeable across Salesforce CRM (Service, Sales, and Marketing Clouds)
• Experience with AI/ML concepts beyond LLMs, such as natural language processing
• Bonus points for experience deploying solutions in customer environments (e.g., custom scripts, middlewares, internal APIs)

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.

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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.