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Enterprise Solution Architect

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Onsite

Enterprise Solution Architect

Uplers

Enterprise Solution Architect

Skills

Data ScienceMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


Enterprise Solutions Architect

Experience: 4 - 10 Years Exp

Salary : Competitive

Preferred Notice Period: Within 30 Days

Opportunity Type: Onsite (Bengaluru, Residency Road)

Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Pre-sales, AI/LLM/RAG, client management, sales, strong communication

Job description

A full-time, on-site role in Bengaluru. You'll design and own end-to-end AI solution architectures for large enterprises and public sector organizations spanning infrastructure, data, application, and security layers.

What you'll do

  • Engage with C-level and technical stakeholders to understand business objectives and translate them into scalable AI Factory and agentic system designs
  • Create detailed architecture documents, reference blueprints, and integration patterns
  • Work closely with product, data science, engineering, and partner teams to validate solution designs
  • Lead technical workshops, guide proofs of concept, and ensure successful deployment on on-prem, edge, or hybrid cloud environments
  • Provide technical leadership in RFP responses and support pre-sales engagements
  • Contribute to best practices, governance frameworks, and reusable assets for future implementations
  • Lead and manage the engineering team post-deal to ensure delivery aligns with client commitments

What we're looking for

  • Strong verbal communication and executive presence able to hold a room with CXOs, BFSI decision-makers, or public sector leaders
  • Demonstrated pre-sales or client-facing solution selling experience has independently led client pitches and contributed to deal closures
  • Working knowledge of AI/ML concepts LLMs, agentic AI, data pipelines, and model deployment
  • Experience engaging with large enterprises or public sector organizations understands how these organisations think, procure, and decide
  • Background from a product-based company (any domain)
  • Demonstrated leadership experience — has led, managed, or mentored an engineering or technical team

Good to have

  • Prior experience in BFSI-specific technology sales or solutioning
  • Exposure to on-prem, air-gapped, or private cloud deployments
  • Experience working in an early-stage startup (Series A and below preferred)
  • Experience with RFP or tender responses for government or defence clients
  • Prior role as Solutions Architect, Pre-Sales Consultant, or COO/CTO at a startup

Education

No specific education requirement — practical experience and demonstrated skills take precedence.

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