Solution Builder

What you'll do

• Architect, build, and deploy AI agents, multi-agent orchestration, integrations, data pipelines, and production AI infrastructure.
• Partner with a Director to turn strategy and customer context into technical decisions, delivery progress, and production outcomes.
• Embed with customer engineering and data teams, guide technical decisions, and contribute reusable patterns and field insights.

What they ask for

• 4–8+ years of software engineering, AI delivery, or technical consulting, with hands-on ownership of production systems (Builder: 4–6 years; Senior Builder: 6–8+ years).
• Track record building and shipping production software; hands-on LLM integration, agent frameworks (LangChain, LlamaIndex, or equivalent), prompt engineering, and responsible AI practices in production.
• Fluency in Python, JavaScript/TypeScript, Java, or Apex; deep experience in data modeling, APIs, and integration patterns.
• Ability to work autonomously in ambiguous customer environments, communicate architecture decisions clearly, and willingness to travel ~25% of the time to customer sites.

Nice to have

• Salesforce platform expertise or Salesforce certifications.
• Experience with cloud data platforms, forward-deployed engineering, consulting, or professional services; familiarity with DevOps/CI-CD, observability, or data governance.

Pay

$157,640 - $210,910 annually (base salary); $173,460 - $231,980 per year (base salary)

Tools

Agentforce, LangChain, LlamaIndex, Python, JavaScript/TypeScript, Java, Apex, Snowflake

AI focus

Build and deploy production agentic AI systems, including AI agents, multi-agent orchestration, agentic workflows, LLM integrations, and responsible AI practices. Salesforce also states it uses AI tools to assist recruiter assessment; humans make selection and hiring decisions.