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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solution Engineer, Apromore - **Company:** Salesforce Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Salesforce.Com, SQL Databases, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Information Technology, Data Analytics, Virtual Agents, Data Pipelines - **Published:** August 7, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/solution-engineer-apromore-new-york-ny-usa-58832891 ## About the Role qualify across Automation/AI, Digital Transformation, and Risk & Compliance * De-risk Agentic AI deployments by defining context, handoffs, and governance criteria for safe usage * Deliver professional services and training to enable customer adoption of process intelligence methodologies * Scale engineering impact by creating reusable assets, reference architectures, and mentoring junior engineers Tasks * 5+ years in customer-facing technical selling or technical delivery roles * Process intelligence experience (analytics, mining, simulation, data-driven BPM) * Strong data engineering skills with SQL, Python and building data pipelines * AI fluency including LLMs, prompt engineering, and agent orchestration frameworks * Sales instinct and understanding of complex enterprise deal cycles * Excellent relationship-building with C-suite to IT teams * Bachelor in Computer Science or related field Key requirements * time off programs * medical, dental, vision * mental health support * paid parental leave * life and disability insurance * 401(k) and employee stock purchase program ## Description Experteer Overview As a Solution Engineer within the Apromore Specialist team, you bridge process intelligence with enterprise automation, turning deep technical insight into customer-ready AI solutions. You partner with Account Executives to qualify and close opportunities by delivering credible, data-backed technical strategies. You build PoCs and prototypes, validate feasibility, and guide clients through safe, scalable agentic AI deployments. You contribute to reusable assets and mentor peers, shaping how enterprises adopt AI-driven process optimization. Compensation / Benefits * Conduct comprehensive technical discovery with Account Executives to map problems to optimized to-be processes * Prototype PoCs and hands-on implementations to validate technical feasibility and ROI * Lead end-to-end data connectivity design, ETL pipelines, and integration with enterprise data ecosystems (e.g., Salesforce Data Cloud, Snowflake) * Translate prototypes into business cases for executive stakeholders across Automation/AI, Digital Transformation, and Risk & Compliance * De-risk Agentic AI deployments by defining context, handoffs, and governance criteria for safe usage * Deliver professional services and training to enable customer adoption of process intelligence methodologies * Scale engineering impact by creating reusable assets, reference architectures, and mentoring junior engineers Tasks * 5+ years in customer-facing technical selling or technical delivery roles * Process intelligence experience (analytics, mining, simulation, data-driven BPM) * Strong data engineering skills with SQL, Python and building data pipelines * AI fluency including LLMs, prompt engineering, and agent orchestration frameworks * Sales instinct and understanding of complex enterprise deal cycles * Excellent relationship-building with C-suite to IT teams * Bachelor in Computer Science or related field Key requirements * time off programs * medical, dental, vision * mental health support * paid parental leave * life and disability insurance * 401(k) and employee stock purchase program ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Building the Next Generation of Software](https://www.wearedevelopers.com/videos/100186-building-the-next-generation-of-software) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)