AI Solution Orchestrator

About the role

Ai Strategy, Build & Experimentation
Technical-to-Experimental Pivot: Transition from traditional technical execution into a forward-thinking, experimental role at the cutting edge of AI — operating at the forefront of what's possible.
Rapid POC Cycling: Quickly design, test, and iterate on Proofs of Concept with a tinkerer's mindset — identifying creative ways to weave emerging technologies into real business needs and presenting findings to inform high-level strategic decision-making.
AI Solution Development: Take ownership of building end-to-end AI solutions — from concept to production.
AI Industry Awareness: Maintain a deep, current pulse on the broader AI landscape — spanning tools, frameworks, and trends well beyond any single platform or ecosystem.

Responsibilities

• Prompt Engineering Context-Driven Prompt Design: Craft precise, business-grounded prompts that leverage the company's specific Salesforce data structures — including custom objects, fields, and metadata — to minimize hallucinations and maximize agent reliability.
• Prompt Best Practices: Apply established prompt engineering techniques (chain-of-thought, few-shot, role prompting, retrieval-augmented generation) to optimize response outputs across varied use cases.
• Iterative Prompt Testing & Evaluation: Continuously test, evaluate, and refine prompts using structured evaluation frameworks to measure accuracy, relevance, and consistency of responses over time.
• Awareness of LLM Limitations: Understand and proactively account for model limitations such as token constraints, context window management, and prompt injection risks.

Requirements

• 8+ years of technical experience, with at least 2 years focused on complex Agentic AI Salesforce implementations and custom data modelling.
• Strong Business Acumen: Ability to sit with business stakeholders and translate a vague "business need" into a specific "technical data requirement" for an AI prompt.
• Prior experience building AI Solutions and adopts an Agentic mindset when doing this work.
• Expertise in "Context Engineering": Proven ability to curate business processes and metadata into high-performing prompts that reduce hallucinations and improve CSM trust.
• Deep Mastery of the Salesforce Platform: You must know the platform well enough to understand where the "cleanest" data lives and how to expose it to an agent.
• AI Tooling Proficiency: Proficiency in the latest AI Tooling and best practices.
• Excellent Communication Skills: You must be able to explain to the product teams why a specific data point is being used to ground an agent's reasoning.

Preferred Requirements

• Experience with CI/CD pipeline management and deployment governance.

Skills

None specified in the job posting.

Benefits

See here for details.

Pay

Not specified in the job posting.

Schedule

Not specified in the job posting.