Technical Architect

Incedo Inc.; Gurugram District; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

Incedo Inc. seeks an experienced AI Architect to design an Agentic AI-led Project Setup Automation for a global Life Sciences client.

This dual-track role combines Azure application architecture with hands-on AI, LLM, and RAG capabilities, including governance reviews and client engagement. The candidate will own end-to-end architecture across React/TypeScript SPA, Node/NestJS, databases, and AI services, while ensuring compliance with GxP and SOX and managing enterprise security and

Qualifications

• 10+ years in application and solution architecture.
• 3+ years architecting AI or GenAI solutions.
• Proven delivery of Azure-based enterprise apps and AI apps.
• Experience in GxP and SOX regulated Life Sciences settings.

Responsibilities

• Own end-to-end solution architecture: Azure services, integration layer, and AI services.
• Design workflow and action management services with versioned state machines.
• Architect AI services layer: deterministic defaulting, retrieval grounding with citations, evaluation rails.
• Define agent runtime with tool registry on OIC and Oracle REST endpoints.
• Set tiered autonomy and approval classes with risk and human-in-the-loop controls.
• Map Oracle Fusion PPM fields to templates and APIs.
• Collaborate with OIC team on orchestration, fault handling, and retries.
• Oversee security, identity, observability, and CI/CD with regression tests.
• Lead client architecture reviews and AI governance with hands-on prototyping.

Skills

Azure architecture

GenAI solutions

AI governance

Client-facing

Tools

Azure App Service

AKS

Oracle Fusion PPM

Oracle Integration Cloud (OIC)

OpenAPI

PostgreSQL

Redis

React

TypeScript

Node/NestJS

Entra ID SSO

Key Vault

Job description

We are seeking an experienced AI Architect with 10+ years of technology experience to architect an Agentic AI led Project Setup Automation program for a global Life Sciences / CRO client. This is a dual-track architect role: the candidate owns the traditional Azure application architecture — a React and Node workspace with its workflow, rules and action management services — and the AI architecture on top: deterministic defaulting, retrieval-grounded suggestion with citations, and a tool-using agent writing to Oracle Fusion PPM through Oracle Integration Cloud. The ideal candidate will combine deep Azure application and integration architecture with hands-on LLM, RAG and agentic design, and a working functional understanding of Oracle Fusion and OIC. Hands-on and client-facing, accountable for autonomy tiers, accuracy thresholds, the audit evidence record, and clearing client architecture and AI governance reviews under GxP and SOX.

Role and responsibilities

• Own the end-to-end solution architecture — Azure application services, the integration layer and the AI services — bound by one versioned canonical request schema, and architect the application stack: React and TypeScript SPA, Node / NestJS BFF with an OpenAPI contract, PostgreSQL, Redis, containerised on Azure App Service or AKS.
• Design the workflow and action management services — versioned state machine, gap-typed routing, SLA and tiered approvals, typed idempotent commands, and an immutable evidence record.
• Architect the AI services layer — deterministic defaulting via frequency tables with tie-break rules and reason codes, hybrid retrieval (dense plus BM25) with re-ranking and citations, and the evaluation rails: golden set, accuracy thresholds, model registry and drift monitoring.
• Architect the agent runtime and planner with a tool registry over Oracle Integration Cloud REST endpoints: plan, confirm, execute, verify, write evidence.
• Define tiered autonomy and approval classes per tool — read auto-executes, low-risk on user confirmation, high-risk on named approval — with confidence banding and human-in-the-loop escalation.
• Apply functional understanding of Oracle Fusion PPM (project creation, templates, key members, DFFs, project-contract link) to field mapping, template selection rules and API coverage assessment.
• Work with the OIC team on orchestration flow contracts, mapping, fault handling, dead-letter queues and idempotent retries keyed on a workspace-issued correlation key.
• Own security, identity and observability — Entra ID SSO, OAuth 2.0 on-behalf-of with Fusion duty-role inheritance, secrets in Key Vault, OpenTelemetry tracing, and CI/CD with automated regression.
• Lead client architecture, security and AI governance reviews (ARB, AI Council, EIG), mentor the delivery POD, and stay hands-on through prototypes, the phase gate and handover.

Preferred Skills

• 10+ years in application and solution architecture, including 3+ years architecting AI or GenAI solutions.
• Proven delivery of both traditional enterprise applications and AI applications on Azure.
• Pharmaceutical, CRO, Healthcare or Life Sciences experience in GxP and SOX regulated settings.
• An agentic or RAG solution taken from proof of concept to production against measured accuracy.