Technical Presales - IT

Futran Tech Solutions; Pune District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Futran Tech Solutions in Pune seeks an Experienced Presales Lead to bridge sales, delivery and technology practices across Cloud, Data, Analytics, Generative AI, and Agentic AI. You will own opportunities end-to-end from qualification to handoff, engage CIO/CTO stakeholders, design cloud architectures, and lead RFP/RFI responses, demos, and POCs, shaping technology strategies with business outcomes.

The role requires strong storytelling and presentation skills, deep hyperscaler knowledge, and a

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Responsibilities

• Qualify opportunities and define solution and win strategies.

Skills

Presales leadership

Solution architecture

Cloud (AWS/Azure)

Generative AI

RFP/RFI responses

Stakeholder engagement

Proposals & presentations

End-to-end deal ownership

Education

Bachelor's degree in CS/IT/Engineering

Tools

Salesforce

HubSpot

Job description

Position Summary

• Experienced Presales Lead responsible for serving as the technical and strategic bridge between sales, delivery, technology practices, and customers.
• Primary focus on translating business challenges into winning solutions across Cloud, Data, Analytics, Generative AI, and Agentic AI engagements.
• Strong expertise in one hyperscaler is required, with AWS or Azure preferred as the primary cloud platform for this role.
• Working exposure to AWS, Microsoft Azure and Google Cloud Platform is desirable, but equal depth across all three hyperscalers is not required.
• Expected to own opportunities end-to-end from qualification and discovery through solution design, estimation, proposal development, presentation, technical defense, and handoff to delivery.
• Must be comfortable engaging both business stakeholders and technical architects and translating technical solutions into measurable business outcomes.
• Prior experience in an IT services, systems integration, or consulting organization is strongly preferred.

Key Responsibilities

• Partner with Sales, Account Management, and Business Development teams to qualify opportunities, understand customer pain points, and define solution and win strategies.
• Lead presales solutioning for Cloud, Data, Analytics, GenAI, and Agentic AI opportunities.
• Lead RFP, RFI, and proposal responses covering requirements understanding, scope definition, solution approach, architecture, effort estimation, resource planning, assumptions, risks, dependencies, pricing inputs, and delivery approach.
• Conduct discovery sessions and technical workshops with customer stakeholders to translate business requirements into practical solution architectures and implementation approaches.
• Design high-level cloud architectures and recommend appropriate native services, managed services, partner technologies, accelerators, and reusable frameworks.
• Develop solution approaches for cloud migration, application modernization, data engineering, analytics, data platforms, enterprise AI, GenAI, RAG, intelligent document processing, enterprise search, copilots, and agentic workflows.
• Prepare compelling proposals, solution decks, architecture narratives, case studies, technical presentations, and executive-level solution summaries.
• Work with engineering and delivery teams to define and execute demos, Proofs of Concept, Proofs of Value, assessments, and technical validations.
• Develop effort estimates, delivery timelines, team structures, assumptions, dependencies, and risks in collaboration with delivery and practice leads.
• Support commercial discussions by ensuring that proposed technical solutions are feasible, scalable, supportable, and aligned with customer budgets and business objectives.
• Lead proposal defense and technical presentations with CIOs, CTOs, CDOs, business executives, enterprise architects, engineering leaders, and procurement stakeholders.
• Identify opportunities to use hyperscaler-native capabilities and existing SDKs, services, accelerators, and reference architectures instead of unnecessary custom development.
• Collaborate with Cloud, Data, AI, and engineering practices to maintain current knowledge of offerings, reusable assets, reference architectures, and implementation capabilities.
• Maintain awareness of technology developments across AWS, Azure, GCP, Databricks, Snowflake, and major GenAI platforms.
• Support partner-led opportunities, cloud assessments, workshops, co-sell motions, migration programs, POCs, and funding-supported engagements where applicable.
• Contribute to reusable presales assets such as discovery questionnaires, proposal templates, estimation models, reference architectures, RFP libraries, case studies, battle cards, and solution accelerators.
• Track competitor positioning, market trends, customer buying patterns, and emerging cloud and AI technologies relevant to the organizations services portfolio.
• Mentor junior presales consultants and solution architects and contribute to improving presales governance, quality, and repeatable processes.

Required Skills & Qualifications

• Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5 + years of overall IT experience with strong experience in presales, solution consulting, solution architecture, technical consulting, or a similar customer-facing role.
• Strong IT services or consulting background with experience selling and solutioning services rather than only product-based offerings.
• Deep expertise in at least one major hyperscaler, preferably AWS or Azure, with the ability to design and present enterprise cloud solutions.
• Working exposure to AWS, Microsoft Azure and Google Cloud Platform is preferred and should be sufficient to participate in multi-cloud discussions.
• Strong understanding of cloud migration, modernization, cloud-native application architecture, integration, security, observability, cost optimization, scalability, and resiliency.
• Strong understanding of data engineering, data lakes, lakehouse architectures, analytics platforms, business intelligence, data governance, and modern data platforms.
• Experience with data technologies such as Databricks, Snowflake, Amazon Redshift, Microsoft Fabric, BigQuery, or comparable cloud-native data services.
• Strong understanding of Generative AI solution patterns including LLM applications, Retrieval-Augmented Generation, vector search, enterprise knowledge assistants, copilots, AI agents, agentic workflows, prompt engineering, guardrails, evaluation, and human-in-the-loop workflows.
• Experience with one or more enterprise GenAI platforms such as Amazon Bedrock, Azure OpenAI, Google Vertex AI, Gemini, or comparable platforms.
• Ability to create high-level solution architecture diagrams and explain architecture decisions, tradeoffs, dependencies, security considerations, and implementation approach.
• Experience building effort estimates, resource plans, project timelines, solution assumptions, risk registers, and commercial inputs for technology engagements.
• Proven experience supporting or leading opportunities from initial qualification through proposal, technical defense, negotiation support, and technical closure.
• Strong experience preparing and responding to RFPs, RFIs, statements of work, technical proposals, and customer presentations.
• Ability to quickly understand customer needs and convert them into technically feasible, commercially viable, and outcome-oriented solutions.
• Strong business communication, storytelling, proposal writing, and presentation skills.
• Ability to simplify complex Cloud, Data, and AI concepts for business and executive audiences.
• Comfortable presenting to technical teams, enterprise architects, business leaders, and CXO-level stakeholders.
• Strong stakeholder management skills across Sales, Delivery, Engineering, Practice, CoE, Partner, and customer teams.

Primary Cloud / Hyperscaler Expectation

• Candidate must demonstrate strong expertise in one primary hyperscaler rather than shallow expertise across all three major cloud platforms.
• AWS or Azure is the preferred primary hyperscaler for this position.
• Strong understanding of Cloud, Data, Analytics, AI, and GenAI services is highly desirable.
• Exposure to AWS, Azure and GCP is considered an advantage for supporting multi-cloud customers and identifying equivalent services or architectural options.
• Equal hands-on or architectural expertise across AWS, Azure, and GCP is not required.

Preferred Qualifications

• Cloud architecture or specialty certifications from the candidate’s primary hyperscaler are preferred.
• AWS or Azure certifications such as Solutions Architect, Data Engineer, AI Practitioner, Machine Learning Engineer, or equivalent certifications are desirable where AWS or Azure is the candidate’s primary platform.
• GCP certifications are beneficial as secondary cloud credentials.
• Experience working within an AWS, Microsoft, or Google Cloud partner organization is preferred.
• Experience supporting hyperscaler co-sell motions, cloud assessments, migration programs, partner funding, POCs, and joint customer engagements is an advantage.
• Experience with CRM and opportunity-management platforms such as Salesforce, HubSpot, or Microsoft Dynamics is preferred.
• Experience contributing to or leading a Cloud, Data, AI, or GenAI Center of Excellence, innovation lab, or presales solution team is desirable.
• Domain expertise in one or more industries such as BFSI, Healthcare and Life Sciences, Insurance, Retail, Manufacturing, or Public Sector is preferred.