Sierra Engineer Experience 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. Strong programming background in TypeScript / JavaScript. Core Responsibilities Build and validate agents in Agent Studio using Journeys, Conditions, Rules, Policies, Tools, and Configuration. Implement code-defined agent behaviour in the Agent SDK (TypeScript/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., GitHub Actions) — running simulations and wiring release checks. Mandatory Skills (per Sierra platform)
Agent Studio:
conversational design, customer journeys, and the block-based editor (Journeys, Conditions, Rules, Policies, Tools, Configuration).
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. Good to Have 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. Band C1 / C2 — Senior Sierra Engineer / Lead Experience 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). Proven full-stack engineering in TypeScript/JavaScript and enterprise SDLC. Core Responsibilities 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., GitHub 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. Mandatory Skills (per Sierra platform) 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.
Sierra security/compliance model, token/permission management, secure integration with external systems. Good to Have 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. 5. Qualifications & Soft Skills 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. Ownership mindset across build → test → release → monitor.
