Senior Solution Builder

Salesforce • New York, NY

8d • $201,110 - $269,080 • Hybrid

About The Position

Salesforce is hiring Solution Builders — senior individual contributors who are the technical engine of a 2-person delivery pod. You partner with a Director who owns strategy and customer relationships; you own the build. You design and deploy production-grade agentic AI systems directly at customer sites, working hands-on every day. No overhead, no managing other builders — just you, your pod partner, and the work in front of you. This is a hands-on IC delivery role. Your output is working software in production at the customer.

Requirements

• 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)
• Proven track record building and shipping production software — not prototypes, not demos, but systems that run in the real world.
• Hands-on LLM integration experience: agent frameworks (LangChain, LlamaIndex, or equivalent), prompt engineering, and responsible AI practices in production.
• Fluency in Python, JavaScript/TypeScript, Java, or Apex — and the range to add to that list as the work demands.
• Deep experience in data modeling, APIs, and integration patterns — able to design them, not just consume them.
• Ability to work autonomously in ambiguous, fast-moving customer environments with real delivery accountability.
• Strong enough communication skills to engage technical stakeholders and explain architecture decisions clearly.
• Ability to operate effectively as the sole builder in a small, high-trust pod.
• Willingness to travel ~25% of the time, working directly at customer sites.

Nice To Haves

• Salesforce platform expertise: Agentforce, Apex, LWC, Data Cloud, Salesforce APIs
• Salesforce certifications (Platform Developer I/II, Agentforce Specialist, System Architect)
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery)
• Prior experience in forward-deployed engineering, consulting, or professional services
• Familiarity with DevOps/CI-CD, observability tooling, or data governance frameworks

Responsibilities

• Architect, build, and deploy production-grade Agentforce and agentic AI solutions end-to-end.
• Design and implement AI agents, multi-agent orchestration, agentic workflows, and the integration patterns that hold up in enterprise environments.
• Own data pipelines, system integrations, and production AI infrastructure across Salesforce, Snowflake, Databricks, and customer platforms.
• Build rapidly from ambiguous requirements — prototype to validate, then engineer to last.
• Resolve complex technical blockers: data integration failures, orchestration breakdowns, model deployment issues.
• Drive solutions from first commit through production handoff and active customer consumption.
• Operate as the technical execution half of a 2-person pod — the Director shapes what gets built and why; you own how it gets built and make sure it ships.
• Translate strategy and customer context from the Director into concrete technical decisions and daily delivery progress.
• Communicate blockers, risks, and architecture tradeoffs clearly and early so the pod stays in sync.
• Represent technical depth in customer-facing sessions — architecture reviews, demos, working sessions, production readouts.
• Flag patterns, gaps, and opportunities you see in the field back to the Director and to Agentforce product teams.
• Embed directly with customer engineering and data teams — not remotely, not occasionally, but as a consistent presence.
• Build trust with customer technical counterparts through delivery quality and technical credibility, not just relationship management.
• Guide customer teams through the technical decisions required to operationalize AI at scale.
• Surface expansion signals and customer feedback to the Director.
• Contribute reusable patterns, reference implementations, and field insights back to the broader Builder org.
• Stay sharp on Agentforce platform evolution, agentic delivery patterns, LLM advances, and the competitive AI landscape.
• Codify what you learn — reusable components, playbooks, and lessons from the field that raise the bar for the whole org.
• Bring a growth mindset to hard problems: when something breaks or doesn't work, you dig in rather than escalate.

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed