Sr. Developer, AI and Agentforce

Accountabilities

AI Agent Development: Design, build, test, and enhance intelligent agents, workflows, and automations using Salesforce Agentforce. Develop AI-powered experiences for customer-facing applications and internal business processes, ensuring reliability, scalability, and alignment with business objectives.
Salesforce Data Architecture: Design and implement secure, scalable data solutions using Salesforce Data 360. Configure Data Lake Objects (DLOs), Data Model Objects (DMOs), identity resolution strategies, and real-time data activation patterns to support intelligent applications and AI-driven workflows.
Advanced AI and Retrieval Solutions: Work with unstructured data models, retrievers, and search indexes to enable effective information retrieval and AI-powered experiences. Explore approaches that improve the relevance and usefulness of AI-generated outputs.
Emerging Technology Exploration: Prototype, test, and evaluate AI technologies adjacent to the Salesforce ecosystem, including large language model APIs, agent frameworks, and emerging development tools. Assess technical feasibility and recommend appropriate solutions for strategic customer initiatives.
Salesforce Application Development: Develop and maintain custom applications and integrations using Apex, Lightning Web Components (LWCs), and JavaScript. Apply established software engineering principles and platform best practices to deliver high-quality, maintainable code.
Customer Engagement and Solution Design: Work directly with customers to understand business requirements, clarify ambiguous challenges, and recommend effective technical approaches. Translate strategic objectives into practical solutions that combine Salesforce capabilities with complementary AI technologies.
Cross-Functional Delivery: Collaborate with project teams, architects, and other technical specialists to translate business and technical requirements into scalable implementations. Contribute to solution design, development, testing, deployment, and ongoing optimization.
System Integration: Integrate Salesforce applications with third-party platforms and services through REST APIs and other appropriate integration patterns. Explore complementary cloud technologies, including AWS and Google Cloud Platform, when they support customer requirements.
AI-Assisted Development: Use modern AI tools and coding assistants to accelerate implementation, improve productivity, support experimentation, and streamline development workflows while maintaining code quality and security.
Continuous Learning and Technical Excellence: Stay current with Salesforce releases, Agentforce enhancements, Data 360 capabilities, software development practices, and developments across the broader AI landscape. Pursue relevant certifications aligned with professional growth and evolving project needs.
Community Engagement and Knowledge Sharing: Contribute technical insights, share best practices, and represent the organization within Salesforce and AI communities. Support a collaborative culture that encourages innovation, continuous improvement, and collective success.
Client Project Participation: Travel up to 25% for customer engagements and company events, as required by project needs.
Requirements
Professional Experience: At least 3 years of hands-on Salesforce development experience, including practical work with Apex, Lightning Web Components (LWCs), and JavaScript.
Salesforce Development Expertise: Strong knowledge of Apex programming, Salesforce coding patterns, platform best practices, and object-oriented programming (OOP). A solid foundation in general software development principles is essential.
Agentforce Experience: Practical experience building Salesforce Agentforce agents, workflows, and automations, with an understanding of how to develop intelligent solutions that address real business needs.
Salesforce Data 360 Knowledge: Experience building solutions on Salesforce Data 360, including data modeling, data integration, and data activation. Familiarity with advanced data capabilities is highly desirable.
AI Technology Curiosity: Demonstrated interest in and hands-on experimentation with AI technologies beyond core Salesforce, including large language model APIs, agent frameworks, and emerging AI development tools.
Integration Skills: Experience integrating Salesforce with third-party systems through REST APIs and related integration approaches.
Development Lifecycle and Version Control: Strong understanding of continuous integration and continuous delivery (CI/CD), Git-based source control, testing practices, and reliable software deployment processes.
Analytical and Problem-Solving Abilities: Ability to learn new technologies quickly, investigate unfamiliar technical challenges, and develop effective solutions to complex or ambiguous business problems.
Communication and Collaboration: Strong written and verbal communication skills, including the ability to explain technical concepts clearly to non-technical stakeholders, collaborate across disciplines, and engage confidently with customers.
Adaptability and Continuous Learning: A proactive, curious mindset and willingness to experiment with new tools, explore emerging technologies, and adapt to evolving project requirements.
Preferred Salesforce Certifications: Salesforce Platform Developer I or II, Salesforce Data Cloud Consultant, Salesforce Agentforce Specialist, Claude Certified Architect, or other relevant technical certifications.
Additional experience that would be advantageous includes:
Advanced Salesforce Data 360 capabilities, including unstructured DMOs, retrievers, search indexes, retrieval-augmented generation (RAG), and identity resolution.
Experience with Agentforce Agent Script or other next-generation agent authoring approaches.
Prototyping with large language model providers such as Anthropic or OpenAI, vector databases, and agent orchestration frameworks outside the Salesforce ecosystem.
Experience with additional Salesforce products, including Service Cloud, Sales Cloud, and Experience Cloud.
Familiarity with Salesforce Enhanced Chat and Omni-Channel capabilities.
Experience with Amazon Connect or other telephony platforms.
Experience writing, testing, and deploying AWS Lambda functions.
Proficiency with Claude Code or comparable AI-powered coding assistants.
Previous experience in consulting, professional services, or customer-facing technology delivery environments.
Benefits
Competitive Compensation: Annual salary ranges vary by location, experience, technical expertise, and role level:
California: $94,400–$266,300
Cleveland: $87,400–$213,000
Colorado: $94,400–$230,000
District of Columbia: $100,500–$245,000
Illinois: $87,400–$230,000
Maryland: $94,400–$230,000
Massachusetts: $94,400–$245,000
Minnesota: $94,400–$230,000
New York and New Jersey: $87,400–$266,300
Washington: $100,500–$245,000
Remote Work Flexibility: Work remotely from anywhere in the United States, with opportunities to connect with colleagues through regional hubs, headquarters, and in-person events.
Flexible Working Environment: A culture that values outcomes, trust, and accountability rather than rigid working hours, supporting employees in balancing professional and personal commitments.
Professional Development: Opportunities to pursue relevant technical certifications, deepen Salesforce expertise, and expand knowledge of AI, cloud platforms, and emerging technologies.
Cutting-Edge Technology: Work with Salesforce Agentforce, Data 360, generative AI, cloud services, and modern AI-assisted development tools.
Client Impact and Technical Ownership: Contribute to strategic customer initiatives, solve complex business challenges, and help deliver innovative solutions at enterprise scale.
Collaborative Culture: Work alongside experienced technical professionals in an environment that encourages knowledge sharing, experimentation, and continuous improvement.
Community and Team Engagement: Participate in team meetings, company events, knowledge-sharing initiatives, and activities that celebrate collective achievements.
Travel Opportunities: Potential travel of up to 25% for client projects and company events, offering opportunities for direct customer engagement and collaboration.
Benefits and Additional Perks: Specific healthcare coverage, retirement benefits, paid leave, bonuses, and other employee benefits have not been fully detailed in the available job description and should be confirmed during the recruitment process.