Solution Architect

Prodapt Solutions; Chennai District; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Prodapt Solutions seeks an experienced enterprise AI architect to design and deliver AI copilots and agentic apps across CRM, ERP, and service management. You will leverage contextual data from Context Substrate and live enterprise sources to drive end-to-end workflows.

You will translate business requirements into scalable AI workflows, design integrations, and establish secure, observable, and compliant systems while guiding engineering teams and engaging stakeholders.

Formación

• 10+ years in software engineering or solution architecture with hands-on delivery of AI/GenAI applications.
• Strong architecture and integration expertise in two enterprise platforms (preferably Salesforce and ServiceNow).
• Ability to analyze enterprise application dependencies and design AI workflows across systems of record.
• Hands-on Python, backend/API development, LLMs, RAG, agent orchestration and tool calling.
• Experience with context services, vector databases and knowledge graphs for grounding AI responses.
• Strong knowledge of REST/SOAP APIs, webhooks, event-driven integration, middleware, OAuth 2.0 and RBAC.
• Experience deploying scalable apps on Azure/AWS/GCP with containers, CI/CD and monitoring.
• Strong problem-solving, customer communication and technical leadership.

Responsabilidades

• Architect and build AI copilots, assistants and agentic apps using contextual data from the Context Substrate and live enterprise sources.
• Translate business requirements into end-to-end AI workflows across CRM, service management, ERP and other enterprise apps.
• Design integrations to retrieve information, update records and execute workflows through enterprise APIs and tools.
• Define context retrieval, prompt construction, agent orchestration, tool calling and human approval mechanisms.
• Develop reusable connectors and API services; address data mapping, synchronization, API limits, failures and transaction consistency.
• Ensure permission-aware access, secure credential handling, auditability, reliability and observability.
• Lead discovery, architecture reviews, proofs of value and production delivery; guide engineering teams and communicate with stakeholders.

Conocimientos

AI/GenAI applications

Enterprise integration

Solution architecture

Technical leadership

Problem solving

Customer communication

Architectural leadership

Herramientas

Salesforce

ServiceNow

Python

LLMs

RAG

REST APIs

OAuth 2.0

Cloud platforms (Azure/AWS/GCP)

CI/CD

Containers

Descripción del empleo

Role & responsibilities

Architect and build AI copilots, assistants and agentic applications using contextual knowledge from the Context Substrate and live enterprise data.

• Translate business requirements into end-to-end AI workflows spanning CRM, service management, ERP and other enterprise applications.
• Design integrations to retrieve information, update records and execute business workflows through enterprise APIs and tools.
• Define context retrieval, prompt construction, agent orchestration, tool calling and human approval mechanisms.
• Develop reusable connectors and API services; address data mapping, synchronization, API limits, failures and transaction consistency.
• Ensure permission-aware access, secure credential handling, auditability, application reliability and observability.
• Lead discovery, architecture reviews, proofs of value and production delivery; guide engineering teams and communicate with stakeholders. Evaluate retrieval relevance, response accuracy, action correctness, latency, cost and business outcomes.

Required Skills & Experience

10+ years in software engineering, enterprise integration or solution architecture, with demonstrated hands-on delivery of AI/GenAI applications.

Strong architecture and integration expertise in at least two enterprise platforms, preferably Salesforce and ServiceNow. Understand their data models, workflows, security models, extension mechanisms and API capabilities.

Ability to analyze enterprise application dependencies and design AI workflows across systems of record.

Hands-on expertise in Python, backend/API development, LLMs, RAG, agent orchestration and tool calling.

Experience consuming context services, vector databases and knowledge graphs to ground AI responses and decisions.

Strong knowledge of REST/SOAP APIs, webhooks, event-driven integration, middleware, OAuth 2.0 and role-based access controls.

Experience deploying scalable applications on Azure, AWS or GCP, using containers, CI/CD and monitoring.

Strong problem-solving, customer communication and technical leadership skills.