Deployment Strategist at Insait

Sofia, Sofia-City, Bulgaria -

Full Time

Start Date

Immediate

Expiry Date

03 Oct, 26

Salary

0.0

Posted On

05 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deployment Strategy, Prompt Engineering, Solution Design, Conversation Design, Client Relationship Management, Technical Delivery, JSON Configuration, Risk Management, Change Management, Executive Communication, Financial Services Knowledge, Project Management

Industry

technology;Information and Internet

Description

INSAIT builds conversational AI agent platforms for banks, insurers, lenders, and investment houses across Israel, Australia, and the US. We're looking for a Deployment Strategist to own the bridge between what our AI agents can do and what our clients actually need in production. This is not a classic onboarding or support role. You'll sit at the intersection of client strategy, prompt/flow engineering, and delivery ownership — translating a bank's or insurer's operational reality into a working, production-grade AI agent, and translating field learnings back into product and platform improvements. You'll work across our client base in Israel, Australia, and the US. What You'll Own Deployment ownership end-to-end. Take a client engagement from kickoff through go-live and into steady-state, owning the outcome — not just the handoff. Solution design with clients. Run discovery and design workshops with client stakeholders (product owners, compliance, ops leads) to translate business requirements into agent flows, node logic, and conversation design. Hands-on configuration. Work directly in the INSAIT platform — flow JSON, conversation/collect/end nodes, prompt engineering — to build and refine agents, rather than only spec'ing requirements for someone else to build. Executive-level communication. Present progress, risk, and roadmap to client stakeholders ranging from project leads to C-suite, across our Israeli, Australian, and US accounts. Organizational readiness. Help clients (often regulated financial institutions) navigate the process and change-management side of adopting an AI agent — not just the technical rollout. Field-to-product feedback loop. Be the connective tissue between what clients need and what INSAIT builds — surfacing patterns across accounts to Product and Engineering. Risk and escalation management. Identify delivery risk early (timeline, scope, technical blockers) and manage it proactively with both client and internal stakeholders. Reusable playbooks. Build documentation, QA frameworks, and implementation patterns that make the next deployment faster than the last. Requirements 3–6 years in a client-facing, technical delivery role — implementation, deployment, solutions engineering, or technical customer success — ideally at an AI/LLM, SaaS, or enterprise software company. Experience that maps to one of these profiles: Delivery/deployment lead at a company shipping AI or data products into production for enterprise clients. Solutions engineer or technical PM who moved toward the client and business side. Strategy or process consultant who wants to own outcomes rather than hand off recommendations. Comfort with ambiguity and technical depth. You don't need to write production code, but you should be comfortable getting into flow logic, JSON configs, and prompt structure yourself. Financial services familiarity is a strong plus — understanding of banking, insurance, or investment workflows, or regulatory/compliance context (KYC, SLAs, risk sign-off processes). English fluency required; Hebrew a strong plus. You'll work across Israeli, Australian, and US accounts — most client-facing work happens in English, with Hebrew needed for Israeli engagements. Executive presence — able to run a room with a client's VP or C-suite as comfortably as a technical working session. Bias toward ownership. Low ego, high follow-through; you take feedback directly and don't need things handed to you fully scoped. Nice to Have Prior experience with LLM prompt engineering or conversational AI design specifically (not just general software implementation). Experience working with regulated industries beyond finance (healthcare, insurance) where compliance and audit trails shape delivery.

Responsibilities

Own the end-to-end deployment of AI agents for financial institutions, translating business requirements into production-grade technical flows. Act as the bridge between client needs and product development to drive platform improvements and organizational readiness.