Presales Solutions Architect

Presales Architect - AI Solutions

Location: Bangalore

Experience: 12 to 15 years

Job Overview:

We are hiring a Presales Architect – AI Solutions. The ideal candidate will have strong client-facing and presales experience, particularly in handling RFPs,

proposals, infrastructure costing, and engaging with large enterprise clients.

Key Responsibilities:

• Drive RFP responses, proposals, and presales pursuits related to AI initiatives.

• Engage directly with enterprise clients to understand business needs and suggest relevant AI

use cases.

• Support use case selection and prioritization based on client requirements and business

impact.

• Provide guidance on AI infrastructure planning and GPU sizing, including coordination with

third-party vendors.

• Collaborate with internal teams to define solution approaches and ensure proposal alignment.

• Demonstrate strong business-layer thinking to contextualize AI solutions within client

environments.

• Work closely with delivery, sales, and commercial teams for a smooth transition from presales

to execution.

Required Experience & Skills:

• Strong presales and client-facing experience in large enterprise environments.

• Proven experience in handling RFPs, proposals, and complex pursuit cycles.

• Exposure to AI solutioning and familiarity with emerging technologies like LLMs, RAG,

Transformers, LangChain, etc.

• Understanding of AI governance, risk, and data lifecycle considerations.

• Experience with infrastructure and cost planning, especially GPU sizing and third-party

contracting.

• Ability to translate business needs into solution narratives—even without deep technical

implementation experience.

• Experience working with enterprise clients in a large setup.

Preferred Qualifications:

• Prior experience in a consulting or system integrator environment.

• Background in AI/ML engineering, data science, or enterprise technology strategy.

• Familiarity with AI ethics, regulatory considerations, and enterprise AI risk frameworks.

Preference would be given to deserving candidates who can join immediately or with very short lead time.