Agent Experience (AX) Engineer
$90,000–$100,000 year
RemoteToronto, Ohio, United States
Job Summary
Conduct structured discovery sessions with clients to translate user roles, SOPs, and enterprise workflows into technical specifications for ACTO SuperAgents. Identify backend dependencies across databases, APIs, and platforms like Veeva, Salesforce, and Snowflake, then design agent configurations with defined objectives, behavioral guardrails, and intent logic. Model agent skills using tools, actions, and knowledge frameworks while refining prompts to ensure accuracy and compliance. Apply evaluation techniques to test outputs, gather stakeholder feedback during UAT cycles, and support production deployments. Collaborate cross-functionally with IT, Customer Success, and Product teams to align agent configurations with backend systems.
Required Qualifications
- 1–2 years of experience designing or configuring AI agents, conversational systems, or AI-driven workflows
- Strong prompt engineering skills, including structured prompts and system-level instructions
- Understanding of LLM behaviour, strengths, limitations, and evaluation methods
- Familiarity with agent frameworks, orchestration concepts, or multi-step agent logic
- Ability to translate business requirements into logical agent configurations
- Experience participating in UAT cycles and structured testing
- Foundational understanding of backend databases (e.g., SQL-based systems), APIs, and data warehouse concepts
- Familiarity with enterprise platforms such as Veeva CRM, Salesforce Health Cloud, Veeva Vault, Snowflake, or Tableau
- Experience managing workstreams or projects from requirements gathering through implementation
- Bachelor's degree in Computer Science, Engineering, Cognitive Science, Human-Computer Interaction, Life Sciences, or related field (or equivalent practical experience)
- 1–2 years of experience in one or more of: Conversational or Agentic AI development; Product configuration or solution engineering; Workflow or UX design for digital systems; AI platform implementation or enterprise customer delivery
Desired Qualifications
- Experience in healthcare, life sciences, pharma, or other regulated industries
- Understanding of commercial, medical affairs, or patient services workflows
- Comfort working within compliance and content governance constraints
- Experience working at a startup or in an early-stage product environment
- Hands-on experience with Veeva, Salesforce, or Snowflake integrations
- Background in life sciences commercial or medical affairs operations
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