Presales (Data, AI & Fullstack) - Senior Consultant

Job highlights

• Required Skills
• Relevant experience in Data / AI / Full Stack Presales or Solution Architecture is preferred. .
• Preferred
• . Job Summary . We are looking for a Presales professional with strong experience in Data,AI,and Full Stack technologies to support business development,solutioning,and client engagements
• Experience

Presales - Data / AI / Full Stack

Job Summary

We are looking for a Presales professional with strong experience in Data, AI, and Full Stack technologies to support business development, solutioning, and client engagements. The role will involve understanding client requirements, designing technical solutions, preparing proposals, and supporting sales teams during the complete presales cycle.

Key Responsibilities

• • Understand client business and technical requirements and translate them into effective technology solutions.
  • Develop solution approaches, architectures, and technical proposals across Data, AI, and Full Stack technologies.
  • Prepare RFP/RFI responses, proposals, presentations, SOWs, and solution documents.
  • Conduct client presentations, technical discussions, demos, and solution walkthroughs.
  • Collaborate with Sales, Delivery, Architects, and Engineering teams to create winning solutions.
  • Identify opportunities to leverage Generative AI, Machine Learning, Data Engineering, Cloud, and Full Stack technologies.
  • Provide effort estimates, high-level project plans, and technology recommendations.
  • Support proof-of-concepts (POCs) and technical demonstrations.
  • Stay updated with emerging technologies and industry trends in AI, Data, Cloud, and Full Stack development.
  • Participate in client workshops and requirement-gathering sessions.
  • Support the sales team in identifying new opportunities and strengthening existing client relationships.

Required Skills

• • Strong understanding of Data Engineering, AI/ML, Generative AI, and Full Stack development.
  • Knowledge of Python, Java/.NET, React/Angular, APIs, Microservices, and databases.
  • Good understanding of cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of data technologies such as Databricks, Snowflake, Data Lake, ETL/ELT, and BI tools.
  • Understanding of AI/ML frameworks, LLMs, GenAI, RAG, and AI application development.
  • Strong solution architecture and technical documentation skills.
  • Excellent communication, presentation, and client-facing skills.
  • Ability to work effectively with Sales, Delivery, and Technical teams.

Experience

• • 8+ years of overall experience in technology, solutioning, consulting, or presales.
  • Relevant experience in Data / AI / Full Stack Presales or Solution Architecture is preferred.

Preferred

• • Experience handling RFP/RFI/RFQ and large enterprise proposals.
  • Experience in client-facing roles and technical presentations.
  • Experience supporting sales pursuits in the US/global market.
  • Relevant cloud or AI certifications will be an added advantage.

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