Senior AI Engineer - Business Systems & Salesforce

LABUR; Denver (CO); A distancia; USD 158.000 - 193.000; Jornada completa

Descripción de la vacante

LABUR is partnering with a client to recruit a Senior AI Engineer focused on Business Systems and Salesforce. You will design and deploy production-grade AI agents, integrating with Salesforce and other enterprise apps, while ensuring governance and security.

You will work hands-on across AI engineering, API integrations, and data workflows, collaborating with business stakeholders to translate requirements into scalable, auditable solutions that impact forecasting, revenue, and operations.

Formación

• Proven hands-on experience building and deploying AI/GenAI solutions in production environments, including agentic AI architectures with tool/function calling and multi-step workflows.
• Experience integrating AI solutions with Salesforce or comparable enterprise business systems, with practical understanding of Salesforce architecture, object relationships, custom objects, and business-process dependencies.
• Background across Salesforce business processes involving sales, quoting, forecasting, service, marketing, financial operations, or partner/channel workflows.
• Strong software engineering background including Python, APIs, LLM APIs/SDKs, and enterprise integrations; familiarity with LangChain, MCP, or similar agentic AI frameworks is a plus.
• Ability to understand end‑to‑end business processes and anticipate the downstream consequences of automated actions, particularly in environments where incorrect system actions can impact forecasting, revenue, or operations.
• Experience gathering requirements directly from business stakeholders and working independently from discovery through design, development, testing, and implementation.
• Strong communication and interpersonal skills with the ability to engage effectively across both technical and business audiences; experience with OAuth, SSO, RBAC, enterprise authentication, and AI/data governance preferred.

Responsabilidades

• Design, build, and deploy production‑grade AI and agentic AI solutions integrated with Salesforce and other enterprise business systems, leveraging LLMs, APIs/SDKs, tool/function calling, and agentic architectures.
• Develop AI agents and multi‑step workflows that securely interact with enterprise data, APIs, and business processes across CRM, ERP, HRIS, data warehouse, and BI platforms.
• Integrate AI capabilities into Salesforce, accounting for standard and custom object relationships and downstream impacts to sales, forecasting, quoting, revenue, financial, service, and operational processes.
• Partner directly with business stakeholders to understand current‑state processes, gather requirements, challenge assumptions, and translate business needs into technically sound AI solutions.
• Evaluate the broader impact of AI-driven actions and establish appropriate guardrails, permissions, controls, and governance frameworks — including auditability, data protection, and security.
• Develop and extend enterprise integrations using APIs, OAuth/SSO authentication frameworks, and role‑based access controls, with attention to audit logging, data lineage, and PII protection.
• Collaborate with existing architects and technical teams while maintaining hands‑on ownership of AI solution delivery, and identify where AI can create meaningful business value beyond information retrieval and summarization.

Conocimientos

AI/GenAI

Salesforce integration

API integrations

Python programming

Stakeholder engagement

RBAC / IAM

Data governance

Herramientas

LangChain

LLM APIs

OAuth

SSO

RBAC tooling

Descripción del empleo

We respectfully request that 3rd parties refrain from contacting us regarding this posting.

Senior AI Engineer – Business Systems & Salesforce

Overview

LABUR is partnering with a client to bring on a Senior AI Engineer – Business Systems & Salesforce who will design and build AI-powered solutions across enterprise business systems, with a particular focus on Salesforce. This role is fully remote. Sitting at the intersection of AI engineering, Salesforce, enterprise applications, and business process automation, this is a hands‑on engineering position — not a traditional Salesforce architect or advisory role. The ideal candidate engages directly with business stakeholders, identifies the right technical approach and guardrails, and then builds and deploys production‑grade solutions that account for the downstream operational and financial impacts of AI agents acting on enterprise data.

Responsibilities

• Design, build, and deploy production‑grade AI and agentic AI solutions integrated with Salesforce and other enterprise business systems, leveraging LLMs, APIs/SDKs, tool/function calling, and agentic architectures.
• Develop AI agents and multi‑step workflows that securely interact with enterprise data, APIs, and business processes across CRM, ERP, HRIS, data warehouse, and BI platforms.
• Integrate AI capabilities into Salesforce, accounting for standard and custom object relationships and downstream impacts to sales, forecasting, quoting, revenue, financial, service, and operational processes.
• Partner directly with business stakeholders to understand current‑state processes, gather requirements, challenge assumptions, and translate business needs into technically sound AI solutions.
• Evaluate the broader impact of AI-driven actions and establish appropriate guardrails, permissions, controls, and governance frameworks — including auditability, data protection, and security.
• Develop and extend enterprise integrations using APIs, OAuth/SSO authentication frameworks, and role‑based access controls, with attention to audit logging, data lineage, and PII protection.
• Collaborate with existing architects and technical teams while maintaining hands‑on ownership of AI solution delivery, and identify where AI can create meaningful business value beyond information retrieval and summarization.

Qualifications

• Proven hands‑on experience building and deploying AI/GenAI solutions in production environments, including agentic AI architectures with tool/function calling and multi‑step workflows.
• Experience integrating AI solutions with Salesforce or comparable enterprise business systems, with practical understanding of Salesforce architecture, object relationships, custom objects, and business‑process dependencies.
• Background across Salesforce business processes involving sales, quoting, forecasting, service, marketing, financial operations, or partner/channel workflows.
• Strong software engineering background including Python, APIs, LLM APIs/SDKs, and enterprise integrations; familiarity with LangChain, MCP, or similar agentic AI frameworks is a plus.
• Ability to understand end‑to‑end business processes and anticipate the downstream consequences of automated actions, particularly in environments where incorrect system actions can impact forecasting, revenue, or operations.
• Experience gathering requirements directly from business stakeholders and working independently from discovery through design, development, testing, and implementation.
• Strong communication and interpersonal skills with the ability to engage effectively across both technical and business audiences; experience with OAuth, SSO, RBAC, enterprise authentication, and AI/data governance preferred.

Compensation

$175,000 per year - Dependent on fit and experience.