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Job Description

Description :


A Client-facing Pre-Sales leader responsible for opportunity qualification, discovery, solution shaping, proposal creation, and achieving technical closure across AI/ML/NLP/GenAI opportunities. Works closely with Sales, Engineering, Delivery, and Product teams.

Key Responsibilities :


- Lead discovery workshops, qualify technical feasibility, and map business needs to AI/ML/GenAI solutions.


- Define high-level solution architectures for ML, NLP, GenAI, RAG, and Data Engineering use cases.


- Develop value propositions, ROI models, and adoption roadmaps aligned with customer KPIs.

- Own technical sections of RFP/RFI, solution documents, SoWs, and proposal decks.

- Conduct client demos, technical presentations, and solution walkthroughs.

- Ensure alignment with Engineering/Delivery for estimation, scope, and feasibility.

- Drive the technical close-resolve queries, defend solutions, and finalize architecture.


- Support Sales in opportunity qualification, competitive positioning, and deal strategy.

- Track industry and GenAI trends to strengthen go-to-market storytelling.

- Mentor junior pre-sales members on solutioning, proposal writing, and client engagement.

Skills & Experience :


- 10+ years in AI/ML+Data+Cloud with strong experience in Pre-Sales, Solution Consulting.


- Strong understanding of ML/NLP/GenAI (LLMs, RAG, Document AI, use cases, prompt engineering).

- Strong understanding of Data Engineering, Data Pipelines, APIs, cloud AI solutions (AWS/Azure/GCP).

- Familiarity with project scoping, estimation, delivery models, risks, governance.

- Strong communication, storytelling, proposal writing, and executive presentation skills.

- Experience with proposals, RFPs, SoWs, demos, POCs, and technical validations.

Preferred Qualification :


- Experience in AI for automation, observability/log intelligence, predictive maintenance, personalization, or contact center solutions.

- Industry exposure : Telco, BFSI, Retail, Manufacturing, Energy, Datacentre Operations.

- Prior role as a TPSE (Technical Presales Engineer), AI Architect, or Solution
Architect.


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