Agentforce/ai Deployment Strategist Multiple Levels jobs at Salesforce in United States, Bellevue

Job Category

Software Engineering

Job Details

About the Role:

As an Agentic Experience Specialist, you will be at the forefront of the evolution of user experience, specializing in crafting natural, effortless, and intuitive interactions between users and AI systems on the Salesforce platform. This role is pivotal in humanizing the power of AI by designing communication patterns that are clear, context-aware, and rooted in trust.

You will work directly with customers to design, implement, and optimize AI-powered solutions, ensuring every interaction feels like a natural extension of the customer relationship. Your goal is to create intelligent, brand-aligned behaviors for autonomous AI agents, enabling users to trust, understand, and confidently interact with AI-powered solutions that augment human productivity and creativity.

Your Impact:

• User Understanding & Customer Strategy:Collaborate directly with customers to understand their unique business needs and current experience to design AI-driven solutions that optimize workflows while maintaining high customer satisfaction. Conduct deep user research, including contextual inquiry, surveys, and analysis of existing chat and call transcripts, to understand user needs, behaviors, and pain points. Synthesize research findings into user personas and "as-is" journey maps to identify opportunities for improvement within the customer experience.

• Conversation & Interface Design:Lead the design of next-generation conversational AI interfaces for the Salesforce platform, ensuring they are intuitive, human-centered, and aligned with the brand's voice. You will define the AI agent's persona and design comprehensive dialogue flows and conversation maps. You will also focus on the design and implementation of voice interfaces, making them natural, empathetic, and responsive.

• Prototyping & Testing:Create conversational prototypes using tools like Voiceflow or Botsociety to visualize, test, and refine interaction flows early in the design process. You will design and executeconversation-specifictest cases covering primary flows, edge cases, and error scenarios. You'll also use a "Truth Curve" approach, using continuous testing and learning cycles to validate hypotheses with data rather than assumptions.

• Collaboration & Implementation:Work closely with cross-functional teams—including engineering, product management, and customer success—to ensure the successful implementation of conversational agents on the Salesforce platform. You'll also develop and maintain comprehensive design documentation to serve as a single source of truth for the AI's behavior.

• Monitoring & Optimization:Analyze user feedback and live conversational data to identify pain points and opportunities for continuous improvement. You'll use data analytics to continuously refine the user experience, ensuring AI models evolve with customer demands.
  

Required Qualifications

• Deep understanding of conversation design principles, NLU concepts (intents, utterances, entities), and human-to-human communication.

• Strong user research and empathy skills, with a proven ability to design customer-centric AI solutions that focus on personalization and usability.

• Experience with conversational prototyping tools (e.g., Figma, Botsociety, Voiceflow) and familiarity with prompt engineering for Large Language Models (LLMs).

• Experience with Salesforce products, particularly Service Cloud, Einstein, Salesforce Flow, and Salesforce Voice, with a strong understanding of AI-powered automation.

• Excellent writing and dialogue scripting abilities with a focus on clarity and brand alignment, paired with strong collaboration skills to work with cross-functional teams.

• Ability to interpret conversation data and analytics to measure the success of interfaces and drive improvements.
  

Preferred Qualifications

• Relevant certifications and/or experience in conversation design, AI voice interfaces, or Salesforce Voice.

• Experience engaging with C-level executives to define AI and UX strategies for large-scale projects.

• Proven ability to facilitate experience-based design workshops with customers to gather insights and shape product offerings.

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

, and our AI agents accelerate your impact so you can

If you require assistance due to a disability applying for open positions please submit a request via this.

Posting Statement

to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $172,000 to $334,600. For Washington-based roles, the base salary hiring range for this position is $157,600 to $306,600. For Maryland based roles, the base salary hiring range for this position is $157,600 to $306,600. For California-based roles, the base salary hiring range for this position is $157,600 to $334,600. For Illinois based roles, the base salary hiring range for this position is $157,600 to $306,600. For Massachusetts based roles, the base salary hiring range for this position is $157,600 to $306,600.

Job Category

Software Engineering

Job Details

About the Role:

You will not only connect agents to systems but also orchestrate a collaborative network of specialized AI agents, ensuring they work together seamlessly to solve complex business problems. If you are an expert in connecting disparate systems and are excited by the challenge of enabling AI to act upon its insights, this role is for you.

Your Impact:

• System & Agent Integration Architecture:Design and implement robust, scalable, and secure integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between different AI agents.

• Multi-Agent Orchestration:Design and manage a Model Context Protocol (MCP) to orchestrate, monitor, and govern a fleet of specialized AI agents. Ensure efficient task allocation and collaboration between agents.

• Agent-to-Agent Communication (A2A):Develop and implement protocols and standards for inter-agent communication, enabling different AI agents to collaborate, share information, and hand off tasks effectively.

• API Development and Management:Develop, deploy, and maintain custom APIs (REST, SOAP) to facilitate seamless data exchange and action execution between Agentforce and other systems.

• Workflow Automation:Collaborate with business analysts and AI specialists to translate complex business processes into automated, agent-driven workflows. Implement the technical logic that enables agents to perform tasks like creating records, triggering notifications, and updating systems.

• Authentication and Security:Implement and manage secure authentication and authorization protocols (e.g., OAuth, SAML) to ensure that all agent actions are secure and comply with enterprise security policies.

• Data Flow and Transformation:Manage the real-time flow of data to and from the AI agent. Implement necessary data transformations to ensure compatibility between different system formats and schemas.

• Troubleshooting and Optimization:Monitor the health and performance of integrations, proactively identifying and resolving issues. Continuously optimize integration workflows for speed, reliability, and efficiency.
  

Required Qualifications:

• 5+ years of hands-on experience in a technical integration role, such as an Integration Developer or API Specialist.

• Expertise in API design and development (REST, SOAP, webhooks).

• Proficiency with one or moreprogramming/scriptinglanguages (e.g., Python, Java, JavaScript).

• Hands-on experience with an enterprise integration platform (iPaaS) such as MuleSoft, Dell Boomi, or a similar technology.

• Strong understanding ofauthentication/authorizationstandards like OAuth 2.0, OpenID Connect, and SAML.

• Experience with data formats like JSON and XML and data transformation techniques.

• Familiarity with message queues, event-driven architecture, and distributed systems concepts.

• A solid understanding of how AI agents operate, with a conceptual grasp of multi-agent systems and how they use data to trigger actions. Direct experience working on AI or automation projects is a significant plus.

• Excellent troubleshooting skills with the ability to diagnose and resolve complex technical issues that span multiple systems.

• Strong communication skills to collaborate effectively with both technical and non-technical teams.

• A proactive and detail-oriented approach to building and maintaining systems.

• Ability to work independently in a dynamic, fast-paced environment.
  

Preferred Qualifications

• Experience integrating with the Salesforce platform, particularly using Salesforce APIs and Apex.

• Any MuleSoft Developer or Architect certification is highly desirable.

• Familiarity with the integration services offered by major cloud providers (AWS, Azure, Google Cloud).

• Experience in an Agile development environment.

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

, and our AI agents accelerate your impact so you can

If you require assistance due to a disability applying for open positions please submit a request via this.

Posting Statement

to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $172,000 to $334,600. For Washington-based roles, the base salary hiring range for this position is $157,600 to $306,600. For Maryland based roles, the base salary hiring range for this position is $157,600 to $306,600. For California-based roles, the base salary hiring range for this position is $157,600 to $334,600. For Illinois based roles, the base salary hiring range for this position is $157,600 to $306,600. For Massachusetts based roles, the base salary hiring range for this position is $157,600 to $306,600.

Job Category

Software Engineering

Job Details

About the Role:

As a trusted advisor, you will be the primary front-facing contact for Agentforce deployments, bridging customer strategic needs with our product innovation to ensure long-term success and value realization. You will play a critical role in defining and steering the Agentic AI strategy and roadmap for our customers, establishing guardrails, and ensuring responsible AI usage. You'll oversee complex deployments, fostering collaboration across various stakeholders, setting strategic goals, and proactively addressing challenges. You will also connect customer needs with product development, offering valuable field insights to influence enhancements and accelerate the product roadmap, ensuring the Agentforce platform remains at the forefront of AI solutions.

Your Impact:

• Strategic Solutioning & Design Leadership:Lead the analysis and strategic design of intelligent AI-powered agents within Salesforce environments, leveraging Agentforce, Data Cloud, Flow, and Salesforce APIs. Synthesize complex business challenges into clear, actionable solution architectures and strategic deployment plans, focusing on business impact rather than technical execution.

• Deployment Ownership & Program Management:Provide comprehensive oversight for the successful deployment of Agentforce solutions, ensuring seamless integration with existing customer infrastructure. Monitor project progress, identify potential roadblocks, and strategically guide the optimization for long-term reliability, scalability, and security, including the establishment and governance of agent behavior guardrails.

• Executive Customer Relationship Management:Serve as the primary front-facing contact for Agentforce deployments, building and nurturing strong, trust-based relationships with C-suite executives and key customer stakeholders. Act as a strategic partner, deeply understanding their operational challenges and strategic goals, and presenting proposals that drive measurable value and adoption.

• AI Strategy & Responsible AI:Lead discussions around Agentic AI strategy and roadmapping for customers. Drive the adoption of foundational Responsible AI principles, including risk mitigation, bias and toxicity testing, and the setup of robust guardrails to ensure ethical and safe AI usage.

• Facilitation & Workshop Leadership:Design and lead interactive facilitation and workshopping sessions, such as agent design workshops and jobs-to-be-done analysis, to collaboratively define optimal AI solutions and drive alignment across customer teams.

• Conversation Design & User Experience:Apply foundational Conversation Design skills to guide the creation of intuitive, effective, and user-centric conversational AI experiences.

• Organizational Readiness & Change Management:Assess customer organizational readiness for AI adoption and guide them through necessary process transformations and reengineering to maximize the benefits of intelligent agents.

• Product Evolution & Strategic Feedback:

Required Qualifications:

• 5+ years of experience in strategic solutioning and oversight of cloud-based technology deployments, with a proven track record of leading successful, impactful enterprise-level projects

• Experience leading and overseeing deployments of AI/LLM technologies, including end-to-end engagement management

• 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 strategic and technical concepts to non-technical stakeholders and C-suite executives, and translate business needs into strategic requirements

• Proven experience managing executive customer relationships in a strategic advisory or consulting role

• Demonstrated AI consulting abilities from experience in conversation design, responsible AI practices, and prompt engineering

• Ability to travel 25-50% of the time, as needed to customer sites
  

Preferred Qualifications:

• Understanding of the Salesforce platform and ecosystem

• 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)

• Salesforce platform certifications (e.g., Administrator, 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

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

, and our AI agents accelerate your impact so you can

If you require assistance due to a disability applying for open positions please submit a request via this.

Posting Statement

to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $184,000 to $334,600. For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600. For Maryland based roles, the base salary hiring range for this position is $184,000 to $306,600. For California-based roles, the base salary hiring range for this position is $200,800 to $334,600. For Illinois based roles, the base salary hiring range for this position is $184,000 to $306,600. For Massachusetts based roles, the base salary hiring range for this position is $184,000 to $306,600.

Job Category

Software Engineering

Job Details

About the Role

We're looking for a highly accomplished and senior-level Forward Deployed Engineer with 5+ years of experience to lead the charge on complex AI agentic deployments. This role demands a seasoned technologist and strategic partner who can not only design and develop bespoke solutions leveraging our Agentforce platform and other cutting-edge technologies but also lead technical engagements and mentor junior peers. You'll be the primary driver of transformative AI solutions, operating with deep technical mastery, unparalleled problem-solving prowess, and a relentless focus on delivering tangible value in dynamic, real-world environments, from initial concept to successful deployment and ongoing optimization.

As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting-edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands-on leader, shaping technical strategy and ensuring successful outcomes.

Your Impact

• Drive Tangible Outcomes through Hands-On Implementation:Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact.

• Build Transformative AI Solutions:Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems. A significant part of this will involve architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows, all built on top of the Salesforce platform.

• Engineer Bespoke Agentic AI Solutions:Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.

• Data Configuration & Integration :Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.

• Proactively Remove Technical Blockers:Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go-to expert for unblocking progress.

• Drive Agentforce Innovation:Become a foremost expert in our innovative Agentforce platform, pushing its capabilities to the limit. You'll lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences. Your insights from the field will directly influence future product enhancements and help shape the strategic direction of our platform, often representing the voice of the customer in product discussions.

• Become a Trusted Strategic Partner:Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements and solution designs, building strong relationships as their primary technical advisor and leading technical discussions.

• Conduct Deep-Dive Technical Debugging and Root Cause Analysis:Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance, ensure reliability, and prevent recurrence of issues.

• Lead Rapid Prototyping and Iteration:Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.

• Implement and Enforce Best Practices:Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model.
  

Required Qualifications

• 5+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment

• Strong background in Computer Science or a related engineering discipline

• Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex)

• Extensive hands-on experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic frameworks

• Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)

• Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus on fast, impactful delivery, with a proven ability to lead technical initiatives

• Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

• Proven ability to lead technical engagements, mentor junior team members, and oversee technical aspects of projects

• Ability to travel 25-50% of the time, as needed to customer sites
  

Preferred Qualifications

• Experience developing and deploying conversational AI solutions within highly regulated industries

• Expert-level experience with Apex and/or Python coding languages in a professional setting

• Prior experience in a customer-facing, hands-on technical lead or architect role

• Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect)

• Deep knowledge across Salesforce CRM (Service, Sales, and Marketing Clouds)

• Extensive experience with Salesforce Flows and Lightning Web Components (LWC), including complex custom development

• Experience contributing to open-source AI frameworks or libraries

• Experience with Salesforce preferred, not required

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

, and our AI agents accelerate your impact so you can

If you require assistance due to a disability applying for open positions please submit a request via this.

Posting Statement

to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $172,000 to $334,600. For Washington-based roles, the base salary hiring range for this position is $157,600 to $306,600. For Maryland based roles, the base salary hiring range for this position is $157,600 to $306,600. For California-based roles, the base salary hiring range for this position is $157,600 to $334,600. For Illinois based roles, the base salary hiring range for this position is $157,600 to $306,600. For Massachusetts based roles, the base salary hiring range for this position is $157,600 to $306,600.