About the Role
The Solution Architect is the technical anchor of the Digital BU. This person designs and personally builds the core of every major solution — from agentic AI workflows and LLM orchestration to web apps, data pipelines, and integrations. You will set engineering standards, review code, mentor the team, and be the person we put on stage when a customer has a tough technical question. We need someone who still writes code every week, can ship a working POC in a weekend, and can explain a transformer-based pipeline to a CFO without making either party feel patronised.
Key Responsibilities
- Own end-to-end architecture for new solutions — data model, services, integrations, UI, AI layer, deployment, and observability.
- Hands-on build of core modules — especially LLM integration, agentic orchestration, workflow engines, and anything novel the team has not built before.
- Lead technical discovery with customers — run whiteboarding sessions, size integrations, and produce target-state architecture decks.
- Deliver technical demos to customers and partners — TimeCraft, Fingertips, document tampering detection, binder reconciliation, Kissflow flows, and any new product we launch.
- Run code review, engineering standards, and tech mentorship across the BU's engineers (junior to senior).
- Build reusable skills, prompts, Claude Code plugins, and internal tools that multiply the team's output.
- Own integrations with enterprise platforms — Kissflow, Zoho, Salesforce, QuickBooks, SAP, NetSuite, Microsoft Dynamics 365, Power Platform — and standardise the integration layer.
- Partner with the BU leader on the technical roadmap — what to build in-house vs. buy, what to productise, and when to deprecate.
- Operate deployed apps on the Pierian App Store (Node/React, PM2, Nginx, centralised SSO) — participate in incident response and post-mortems.
- Contribute to proposals and RFP responses as the technical authority — you should be able to write the solution architecture section of a 30-page RFP in a few hours.
Must-Have Requirements
- 9–11 years of engineering experience, with at least 3 years as a hands-on architect or tech lead on production AI or automation systems.
- Full-stack depth — React/Next.js + Node.js/Express on the front, Python (FastAPI, Pandas, LangChain/LlamaIndex) on the back, SQL + at least one NoSQL store, and one cloud (Azure preferred, AWS acceptable).
- Practical experience shipping LLM-powered features into production — including prompt engineering, RAG pipelines, function/tool calling, evaluation harnesses, and cost/latency trade-offs.
- Hands-on, daily usage of AI coding tools — Claude Code, GitHub Copilot, or Cursor — with shippable output. You should be able to show a public or internal repo where you used these tools to build something real.
- Strong fundamentals — data structures, system design, API design, authentication (OAuth/SSO/SAML), async processing, and observability.
- Excellent written and spoken communication — able to explain a design to a junior engineer, a CFO, and a vendor partner, all in the same afternoon.
- Disciplined engineering habits — source control hygiene, PR reviews, docs that stay current, and tests that actually run in CI.
Good to Have
- Experience building on Anthropic's Claude platform — skills, subagents, MCP servers, Claude Code plugins.
- Experience with Kissflow, Zoho Qntrl, Power Automate, or another workflow platform at production scale.
- Experience with document AI, OCR, or computer vision (tampering detection, KYC, classification).
- Experience deploying and operating apps on Linux VMs with PM2/Nginx, and building centralised SSO across apps.
- Open-source contributions, a personal portfolio, or a technical blog.
