Gen AI Presales Solution Architect

Accenture Global

Melbourne

On-site

AUD 180,000 - 240,000

Full time

2 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Accenture is seeking a Gen AI Presales Solution Architect in Australia to lead end-to-end solution blueprinting and roadmaps, bridging client vision with technology execution across cloud platforms, AI, and agents. You will craft architectural diagrams, define staffing models, and prepare compelling client proposals for global delivery teams.

The role requires deep experience in AI and Gen AI, strong stakeholder management, and the ability to translate business needs into technical

Qualifications

Strong AI and Gen AI experience in systems integration or application development projects.
Working knowledge of cloud ecosystems, including Azure, AWS, or Google Cloud.
Ability to identify, drive, and quantify productivity improvements within solutions and clearly justify the approach.
Ability to incorporate agentic and future-focused ways of working into AI projects.
Experience designing solutions using Model Context Protocol (MCP), Agent-to-Agent (A2A), and other relevant protocols.
Minimum 12 years of relevant IT industry experience in AI / Data delivery or presales.
Ability to understand business processes and convert them into agentic workflows.
Ability to determine when to use traditional AI models versus a modern AI technology stack.
Understanding of token economics and the ability to design solutions that manage its cost and performance impacts.
Commitment to staying current with advanced AI initiatives and emerging technologies.
Basic proficiency in Microsoft Excel, including pivot tables, filters, and VLOOKUP.
Willingness and ability to travel for work as required
Exceptional stakeholder management and communication skills.
Experience working in cross-functional and global environments.

Responsibilities

Understand RFPs and RFIs and translate business needs into technical architectures spanning data engineering, data visualisation, AI, Gen AI, and agents.
Define end-to-end application architecture diagrams, from data ingestion and consumption through to AI and agent-based solutions.
Align technology components, including LLMs, vector databases, graph databases, agents, and APIs, with business use cases.
Prepare detailed ADM effort estimates and obtain validation from AI and Data capability subject matter experts.
Design optimal staffing models based on the appropriate onshore, offshore, and nearshore mix and pyramid structure.
Build solution plan PowerPoint decks to support sales and delivery alignment.
Participate in solution and delivery reviews with leadership across geographies.
Act as the strategic link between sales and delivery teams.
Contribute to client-facing proposals, statements of work, and contracting documents.
Present and defend the proposed solution in internal and external forums.
Seamlessly transition the solution to the delivery team following deal closure.
Travel may be required. The amount of travel will vary from 10% to 25%, depending on business needs and client requirements.