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AI Forward Deployed Engineer (Senior/Lead/Principal)

9 Locations💼 Full-time💰 $117,200–$117,200🗓 2026-06-15 → 2026-07-31

Seniority

Senior/Lead/Principal (5+ years experience)

Domain

AI, CRM, Agentic AI, Salesforce

Technologies

Agentforce, LLMs, LangChain, LlamaIndex, Apex, Python, JavaScript, Salesforce Data Cloud, Snowflake, Databricks, BigQuery, Lightning Web Components (LWC), Salesforce Flows

Responsibilities

Lead technical engagements, design and develop bespoke AI agentic solutions, architect intelligent agents and automated workflows, manage data lifecycle and integration, troubleshoot complex technical issues, mentor junior peers, conduct root cause analysis, build proofs-of-concept, integrate with customer ecosystems

Required skills

Computer Science background, expert-level programming, AI/LLM integration, data modeling and analytics, leadership and mentoring, communication skills

Preferred skills

Experience in regulated industries, Apex/Python expertise, customer-facing technical lead experience, Salesforce certifications, knowledge of Sales/Service/Marketing Clouds, open-source AI contributions

Rewrite
## Responsibilities - 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. ## Requirements - 5+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment. ## Nice to Have - Not explicitly mentioned in the provided text. ## Benefits - Not explicitly mentioned in the provided text.
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