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Solution Architect

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Onsite

Solution Architect

Prodapt Solutions

Solution Architect

Skills

Google Cloud PlatformPythonAIAWSCRMSalesforceServiceNowAzure

8 days ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


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.

Preferred candidate profile

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.

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