Technical Presales Lead

Trantor; Abu Dhabi; On-site; AED 1,000,000 - 1,600,000; Full time

Job summary

Trantor is seeking an experienced lead presales architect to drive end-to-end Azure-based solutions from discovery to delivery handover. You will capture requirements independently and map them to cloud, data, and AI technologies, including open-source options.

This hands-on role collaborates with the BDM, founder and delivery specialists to build credible, achievable prototypes. You will design independently, present vendor-neutral options, and scope engagements with clear acceptance criteria,

Qualifications

• Typically 8+ years in software, data or AI engineering with 3+ years in architecture/leadership.
• Experience designing vendor-neutral architectures and presenting to business and technical audiences.
• Proven ability to translate ambiguous business needs into requirements and delivery scope.

Responsibilities

• Lead discovery and workshops; document workflows, outcomes and non-functional requirements.
• Design vendor-neutral architectures; map requirements to cloud, data and AI platforms.
• Build focused prototypes and define success measures for proofs of concept.
• Prepare proposals, architecture diagrams, estimates and statements of work.
• Coordinate with SI/MSP partners and validate estimates with specialists.

Skills

Azure architecture

Cloud solution design

Technical leadership

English communication

Education

Degree in CS/Engineering

Tools

Azure App Service

Azure Functions

Container Apps

API Management

Azure SQL

Azure Storage

Databricks

Microsoft Fabric

Snowflake

AKS

Job description

Lead technical presales from discovery through solution design, demonstration and delivery handover. Azure expertise is mandatory. You will capture requirements independently of any vendor and map them to suitable cloud, data and AI technologies, including alternative platforms and open-source frameworks. This is a hands-on architect role. You will work closely with the BDM, founder and delivery specialists, build focused proofs of concept and make recommendations that are technically credible and achievable.

KEY RESPONSIBILITIES

Discover the requirement

Lead business and technical workshops. Document workflows, users, outcomes, data sources, integrations and non-functional requirements, including scale, latency, availability, security, residency and operating constraints.

Design independently

Create a vendor-neutral logical architecture, then map requirements to platform services and AI frameworks. Present alternatives with traceable decisions, dependencies and trade-offs.

Build and present focused prototypes using approved data. Define success measures, test limitations and separate demonstration evidence from production readiness.

Scope the engagement

Produce solution proposals, RFP responses, architecture diagrams, effort estimates and statements of work. Agree assumptions, exclusions and acceptance criteria with delivery leads before making commitments.

Work through partners

Support SI and MSP discussions, technical objections and customer presentations. Respect agreed account boundaries and coordinate specialist input throughout the opportunity.

REQUIRED EXPERIENCE

Typically 8 or more years in software, data or AI engineering, including at least 3 years in architecture or technical leadership with customer-facing responsibilities. Equivalent evidence of capability will be considered.

• Applications and integration: Design and deliver Azure applications using appropriate combinations of App Service, Functions, Container Apps, API Management, messaging, Azure SQL and Storage. Assess modernisation choices and justify when AKS is appropriate.
• Data architecture: Strong SQL and data modelling skills. Assess data quality and readiness, ingestion, ETL/ELT, batch and streaming needs, warehouses or lakehouses, semantic layers, lineage, access controls and retention. Relevant platforms include Microsoft Fabric, Databricks and Snoflake.
• Software engineering: Proficiency in Python and at least one application stack such as .NET/C#, Java or TypeScript. Build APIs and integrations, work with relational and vector stores, use containers and infrastructure as code, and review automated tests.
• A record of delivering enterprise applications and practical AI solutions beyond a demonstration. Able to explain personal contributions, architecture choices, production issues and lessons learned.
• Experience translating ambiguous business needs into requirements, architectures and achievable delivery scopes. Strong written proposals and clear presentations to business and technical audiences.
• Ability to coordinate distributed delivery teams and validate estimates with specialists. Understand application support, release management, service transition and ongoing AI quality monitoring.
• A degree in computer science, engineering or a related discipline, or equivalent practical experience. Professional English communication is essential.