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Bengaluru (Bangalore), Pune · 2 - 8 years · ₹15L - ₹22L / yr · Posted 7 Sep 2026
About the Role
We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.
This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.
As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.
This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.
Key Responsibilities
Customer Discovery & Solutioning
- Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
- Conduct discovery workshops, assessments, and technical discussions to identify cloud and AI opportunities.
- Translate business requirements into high-level cloud and AI solution architectures.
- Collaborate with Solution Architects and technical teams to develop scalable and cost-effective solutions.
Cloud Transformation Consulting
- Support customer initiatives across:
- Cloud Migration
- Application Modernization
- DevOps Transformation
- Managed Services
- Security & Compliance
- Resilience & Disaster Recovery
- Conduct cloud assessments and migration readiness evaluations.
- Prepare cloud cost estimates, modernization roadmaps, and optimization recommendations.
- Leverage AWS programs and frameworks such as:
- Migration Acceleration Program (MAP)
- AWS Well-Architected Framework (WAFR)
- Foundational Technical Review (FTR)
AI & GenAI Solution Consulting
- Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
- Participate in AI discovery workshops and business value discussions.
- Support solution design for AI-powered applications leveraging AWS AI services.
- Collaborate with Data & AI teams to position analytics, machine learning, and Generative AI offerings.
- Assist customers in identifying suitable use cases for:
- Generative AI
- AI Assistants
- Knowledge Management Solutions
- Intelligent Automation
- Conversational AI
Proposal Development & Technical Presales
- Collaborate with Solution Architects to create:
- Technical Proposals
- Architecture Diagrams
- Effort Estimates
- Statements of Work (SOWs)
- Technical Responses to RFPs/RFIs
- Present solutions, recommendations, and technical approaches to customer stakeholders.
- Support Proof of Concepts (PoCs), demonstrations, and technical validations.
- Participate in technical reviews and solution walkthroughs.
Customer Engagement & Thought Leadership
- Attend customer meetings jointly with Sales teams to provide technical expertise.
- Build credibility and trust with customer technical and business stakeholders.
- Contribute to webinars, workshops, technical presentations, and customer-facing events.
- Write blogs, case studies, solution briefs, and technical content that supports business growth.
- Maintain an active presence in cloud and AI communities.
Collaboration & Knowledge Management
- Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
- Maintain reusable presales assets, templates, assessment frameworks, and knowledge repositories.
- Continuously stay updated on AWS services, AI advancements, partner programs, and emerging technology trends.
- Contribute to internal capability building and knowledge-sharing initiatives.
Travel & Customer Interaction
- Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
- Represent Comprinno professionally during all customer-facing interactions.
Required Qualifications & Skills
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3–5 years of experience in Presales, Solution Consulting, Cloud Consulting, Technical Sales, or related customer-facing roles.
- Strong understanding of AWS cloud services across:
- Compute
- Networking
- Storage
- Security
- Databases
- Knowledge of cloud migration and modernization frameworks such as AWS MAP.
- Familiarity with AWS cloud assessment tools including Migration Evaluator and AWS Well-Architected Tool.
- Understanding of:
- Kubernetes
- Containerization
- Cloud-Native Architectures
- DevOps Practices
- Hands-on exposure to Infrastructure as Code using Terraform or CloudFormation.
- Ability to create:
- Solution Documents
- Architecture Diagrams
- Technical Proposals
- Effort Estimates
- Statements of Work
- Understanding of Generative AI concepts including:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Assistants
- Agentic AI Concepts
- Familiarity with AWS AI services such as:
- Amazon Bedrock
- Amazon SageMaker
- Amazon Q
- AWS Solutions Architect – Professional Certification.
- Experience positioning AI, GenAI, Analytics, or Data Engineering solutions.
- Familiarity with AI frameworks such as:
- LangChain
- LangGraph
- CrewAI
- OpenAI APIs
- Anthropic APIs
- Strong communication, presentation, and stakeholder management skills.
- Experience conducting AI assessments, GenAI workshops, or AI proof-of-concepts.
- Experience contributing to webinars, blogs, case studies, or technical marketing content.
- AWS Solutions Architect – Associate Certification (Mandatory).
- Customer-centric mindset with strong problem-solving abilities.
Desired Qualifications & Skills
- AWS Specialty Certifications such as:
- Security Specialty
- Advanced Networking Specialty
- Machine Learning Specialty
- DevOps Engineer Professional
- Understanding of compliance frameworks such as:
- ISO 27001
- SOC 2
- HIPAA
- MBA or equivalent business qualification.
- Contributions to industry blogs, webinars, conferences, technical communities, or open-source initiatives.
What We're Looking For
- Strong consulting mindset with the ability to understand customer business challenges.
- Excellent communication and presentation skills.
- Ability to balance technical depth with business value articulation.
- Passion for cloud technologies, AI, and emerging innovation.
- Collaborative team player who can work across Sales, Architecture, Delivery, and Product teams.
- High ownership and accountability.
- Curiosity and continuous learning mindset.
- Willingness to travel and work from customer locations across India and internationally as required by project engagements.
What Success Looks Like
- Consistently contributes to qualified pipeline creation and deal progression.
- Produces high-quality proposals, architecture recommendations, assessments, and Statements of Work.
- Builds credibility with customers through strong technical consulting and solution design.
- Successfully supports closure of Migration, Modernization, Managed Services, Security, and AI opportunities.
- Develops reusable presales assets, assessment frameworks, and solution accelerators.
- Contributes to thought leadership through blogs, webinars, technical presentations, and customer-facing content.
- Continuously expands expertise in AWS, Cloud, AI, and emerging technologies.
Why Join Comprinno
- Work at the forefront of Cloud, AI, and AWS innovation with one of the leading AWS Partners in APJ.
- Be part of real transformation initiatives involving Migration, Modernization, DevOps, Security, Managed Services, and Generative AI.
- Collaborate directly with enterprise customers and influence strategic technology decisions.
- Accelerate your growth through AWS certifications, mentorship, and hands-on customer engagements.
- Contribute to innovative solutions including Tevico and future AI-powered offerings.
- Build thought leadership through webinars, blogs, events, and community participation.
- Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.

