Presales Technical Consultant

Role & Responsibilities:

This job description is for a Cloud Computing & Data & AI Technical Presales Consultant with 57 years of experience in India. This role is a critical link between the sales team, technical delivery team, and the client. The consultant's primary responsibility is to understand a client's business challenges and technical needs, and then architect and present compelling, data-driven cloud and AI solutions.

Key Responsibilities

Solution Design & Strategy

• Partner with the sales team to understand customer requirements and design tailored, end-to-end cloud, data, and AI solutions.

Client Engagement & Presentations

• Conduct in-depth discovery sessions with clients to identify business problems.
• Deliver impactful technical presentations and demonstrations of proposed solutions.

Proof of Concepts (PoCs)

• Lead the technical aspects of PoC engagements, validating the solution's capabilities and value to the customer.

Proposal & RFP Management

• Prepare and write detailed technical proposals, solution documentation, and responses to RFPs (Request for Proposals) and RFIs (Request for Information).

Technical Authority

• Act as the technical subject matter expert during the sales cycle.
• Provide expert guidance on data strategy, cloud architecture, and the technology stack.

Market & Competitive Analysis

• Stay updated on emerging trends, technologies, and the competitive landscape in cloud computing, data, and AI to enhance solution offerings.

Internal Collaboration

• Work closely with delivery and engineering teams to ensure a smooth transition from presales to project execution.
• Guarantee that proposed solutions are feasible and can be successfully implemented.

Required Skills & Qualifications

Technical Skills

• Cloud Platforms: Extensive hands-on experience and deep knowledge of at least one major public cloud provider (AWS, Azure, or GCP). Cloud certifications are highly preferred.
• Data & AI/ML: Strong understanding of data engineering principles, data platforms (e.g., Databricks, Snowflake), and the end-to-end lifecycle of machine learning models.
• Programming & Tools: Proficiency in relevant programming languages (e.g., Python, R, SQL). Familiarity with big data frameworks (e.g., Hadoop, Spark) and ML frameworks (e.g., TensorFlow, PyTorch).
• Architecture: Experience designing scalable and resilient cloud and data architectures, including data lakes, data warehouses, and ETL/ELT pipelines.

Soft Skills

• Communication & Presentation: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders, including C-level executives.
• Consultative Approach: A customer-centric mindset with the ability to translate business problems into data-driven technical solutions.
• Problem-Solving: Strong analytical and problem-solving skills to diagnose client challenges and propose effective solutions.
• Teamwork: Proven ability to work collaboratively in a fast-paced, cross-functional environment.

Education & Experience

• Education: Bachelors or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Experience: 5–7 years of experience in a technical presales, solutions consulting, or solutions architect role, preferably within the IT services or consulting industry in India.