Presales Consultant(AIML Solutions)

Job Title: Business Analyst (Pre-Sales) AI/ML

What you will do in this role:

• Act as a key bridge between business stakeholders and technical teams for AI/ML and custom software solutions.

• Work closely with clients to gather requirements, define business needs, and document functional and technical specifications.

• Lead pre-sales activities, including preparing proposals, presentations, RFP responses, and proof of concepts (PoCs).

• Collaborate with sales and technical teams to develop AI/ML-driven solutions that align with business objectives.

• Conduct market research, competitor analysis, and feasibility studies for AI/ML and custom application projects.

• Assist in defining solution architecture, pricing models, and go-to-market strategies.

• Develop business cases, ROI analysis, and solution roadmaps to support sales teams.

• Engage with clients for demos, technical discussions, and requirement clarifications. • Work with product and development teams to ensure alignment between business needs and technical feasibility.

• Stay updated on AI/ML advancements, industry trends, and emerging technologies to enhance solution offerings. What qualifications you will need:

Experience:

o Overall 10+ years of experience as a Business Analyst.

o Minimum 4+ years of experience in Pre-Sales for AI/ML solutions-custom applications. Technical & Business Skills:

o Impeccable communication skills in English o Has consulted US businesses

o Understands ML/AI universe inside out - tracks and tinkers with latest developments in AI universe o Has hands-on AI dev experience

o Should be comfortable in discussing technical-level problems with the customers and the internal team

o Razor-sharp focus on business use cases o Ability to converse with customers to get them to open up about their challenges, aspirations, and priorities

o Ability to research and develop a solution outline

o Ability to identify and articulate the value proposition of the proposed solution o Ability to create implementation plans with an Agile SDLC