Sierra Engineer
Job in
Dallas, Dallas County, Texas, 75215, USA
Listed on 2026-10-20
Listing for:
Horizon Industries International Limited
Full Time
position Listed on 2026-10-20
Job specializations:
-
Software Development
DevOps, Backend Developer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
- 4–6 years total in Conversational AI / agentic or virtual-assistant development (e.g., Dialogflow CX, Amelia, Kore.ai, Rasa, LLM-based agents).
- 1–2 years hands‑on Sierra, with at least one delivered/production Sierra project.
- Build and validate agents in Agent Studio using Journeys, Conditions, Rules, Policies, Tools, and Configuration.
- Implement code-defined agent behaviour in the Agent SDK (Type Script/JSX on Sierra's custom runtime) using hooks, tool registration, and lifecycle events.
- Author instruction-driven and scenario-based simulations (Studio and code) and keep them stable and meaningful.
- Integrate agents with APIs and enterprise/contact‑centre systems, including transfer/routing to queues and numbers with attached data.
- Participate in workspace‑based development: merge requests, snapshots, and workspace reviews.
- Execute releases under guidance, respecting critical‑simulation gates and approvals.
- Contribute to CI/CD (e.g., Git Hub Actions) — running simulations and wiring release checks.
- Agent Studio: conversational design, customer journeys, and the block‑based editor (Journeys, Conditions, Rules, Policies, Tools, Configuration).
- Simulations: writing instruction‑driven and scenario‑based tests; critical‑simulation enforcement; stabilising flaky simulations.
- Git & CI/CD: branching, merging, code reviews; running simulations and release enforcement in pipelines.
- Ghostwriter (AI‑assisted authoring): prompting, reviewing, validating, and merging AI‑generated journeys/simulations.
- Basic observability (traces/alerts) and analytics (CSAT, resolution/containment rate).
- Contact‑centre / IVR and telephony transfer (Genesys or similar) exposure.
- Minimum 9 years total in Conversational AI / agentic‑bot design and delivery, including solution/technical leadership.
- 1–2 years hands‑on Sierra with a senior/lead contribution on at least one Sierra project (Sierra is new; depth is valued over tenure).
- Own end‑to‑end agent/solution architecture on Sierra: agent/skill decomposition (Root and sub‑agents), guardrails, tool contracts, state and context model, and orchestration.
- Define integration contracts (auth, APIs, telephony/transfer, attached data) and failure‑handling strategy.
- Own the LLD - detailed journey/intent flows, tool contracts, state/context model, prompt/instruction design, error/edge‑case handling, routing/transfer logic.
- Set standards for simulation coverage, critical‑simulation gates, and test strategy across the team.
- Own release management: workspace reviews, merge governance, snapshot/release scheduling, approvals, and release APIs for automation.
- Design and govern Git migration and CI/CD pipelines (e.g., Git Hub Actions) with simulation and release enforcement.
- Establish observability (monitoring, alerts, trace export to Datadog/Honeycomb) and drive analytics‑based optimisation and experiments.
- Ensure security and compliance: API-token and permission management, secure external integrations, and adherence to enterprise controls.
- Mentor B‑band engineers, run code/design reviews, and interface with client stakeholders.
- All B‑band mandatory skills, at an advanced/lead level.
- Release Management: workspace development, merge requests, snapshots, release workflows (scheduling, approvals, critical‑simulation gates), and release APIs for CI/CD.
- Git Migration & CI/CD: strong Git and migrations; building pipelines; wiring simulation runs and release enforcement end‑to‑end.
- Quality & Observability: monitoring/alerts, trace export (Datadog/Honeycomb), agent documentation, comprehensive simulation coverage.
- Security & Compliance:
Sierra security/compliance model, token/permission management, secure integration with external systems.
- Advanced Ghostwriter usage and review governance for AI‑generated changes.
- Analytics & optimisation: interpreting CSAT, resolution/containment, running experiments and reporting.
- BFSI / healthcare regulated‑environment delivery experience.
- Bachelor's in Computer Science / Engineering or equivalent practical experience.
- Strong problem‑solving, debugging, and comfort with discovery‑driven, evolving scope.
- Clear written and verbal communication for design docs, reviews, and client interaction.
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