AI Solution Architect

Addify; Riyadh; Presencial; SAR 350 000 - 700 000; Tempo integral

Resumo da oferta

Addify is seeking an experienced AI GTM strategist to lead go-to-market initiatives for major clients in Financial Services and Retail. You will build executive relationships, shape AI opportunities, and craft compelling business cases and narratives to win high-value engagements.

The role requires deep AI knowledge, strong cross-functional leadership, and proven success in presales, proposals, and deal shaping within a fast-paced, matrixed organization.

Qualificações

• Bachelor's degree or equivalent practical experience in a relevant field.

Responsabilidades

• Define, own, and execute the AI go-to-market strategy for assigned mega accounts or regional portfolios within Financial Services and Retail.
• Build and maintain relationships with C-suite and senior executive stakeholders.
• Identify, qualify, and shape AI transformation opportunities aligned to client priorities and industry trends.
• Develop compelling AI value propositions, business cases, and solution narratives addressing industry-specific challenges.
• Partner with Client Partners, Sales teams, and Industry Leaders to originate, position, and close AI-driven engagements.
• Lead and coordinate RFP, RFI, and RFQ responses for AI opportunities, including solution strategy and executive presentations.
• Lead executive-level presales activities including opportunity shaping, solution design, and proposal positioning.
• Drive AI pipeline growth, revenue performance, and commercial success across assigned accounts.
• Contribute to account growth planning and AI sales strategy by identifying new market opportunities and positioning differentiated AI solutions.
• Ensure responsible AI principles — security, governance, transparency, and human oversight — are embedded into opportunity framing and solution design.
• Operate effectively within a matrixed organization, collaborating across business, delivery, and leadership teams.

Conhecimentos

Go-to-market strategy

Generative AI

Executive influence

RFP/RFI/Proposal leadership

Stakeholder management

Commercial mindset

Cloud platforms (Azure, AWS, GCP)

Cross-functional leadership

Formação académica

Bachelor's degree

Ferramentas

Azure

AWS

GCP

Descrição da oferta de emprego

Key responsibilities

• Define, own, and execute the AI go‑to‑market strategy for assigned mega accounts or regional portfolios within Financial Services and Retail.
• Build and maintain strong relationships with C‑suite and senior executive stakeholders.
• Identify, qualify, and shape AI transformation opportunities aligned to client priorities and industry trends.
• Develop compelling AI value propositions, business cases, and solution narratives that address industry‑specific challenges.
• Partner with Client Partners, Sales teams, and Industry Leaders to originate, position, and close AI‑driven engagements.
• Lead and coordinate RFP, RFI, and RFQ responses for AI opportunities, including solution strategy, win themes, proposal development, executive presentations, and stakeholder alignment to maximize deal success.
• Lead executive‑level presales activities including opportunity shaping, solution design, and proposal positioning.
• Drive AI pipeline growth, revenue performance, and commercial success across assigned accounts.
• Contribute to account growth planning and AI sales strategy by identifying new market opportunities, developing pursuit strategies, and positioning differentiated AI solutions that align to client business objectives.
• Ensure responsible AI principles — including security, governance, transparency, and human oversight — are embedded into opportunity framing and solution design.
• Operate effectively within a matrixed organization, collaborating across business, delivery, and leadership teams.

To thrive in this role, you need to have:

• Strong experience developing and executing go‑to‑market strategies for advanced technology or AI‑led solutions.
• Deep understanding of Generative AI, machine learning, and natural language processing concepts and real‑world use cases.
• Proven ability to influence senior executives and communicate complex technical concepts in a clear, business‑focused manner.
• A strong commercial mindset with a proven track record of identifying, shaping, positioning, and closing high‑value AI or technology engagements, including executive‑level opportunity pursuits and proposal leadership.
• Experience leading complex RFP, RFI, and proposal responses, coordinating cross‑functional teams, and developing compelling solution narratives and win strategies.
• Familiarity with leading cloud platforms such as Azure, AWS, and GCP.
• The ability to operate effectively in a fast‑paced, matrixed, and growth‑oriented environment.

Academic qualifications and certifications:

• Bachelor’s degree or equivalent practical experience in a relevant field.

Required experience:

• 8–12 years of professional experience in consulting, professional services, or industry roles, including significant client‑facing responsibility and progressive leadership exposure (e.g., people, program, or account leadership).
• Minimum of 5 years’ experience leading or co‑leading AI, data, advanced analytics, or digital transformation initiatives.
• At least 2 years of hands‑on experience working with Generative AI solutions such as large language models, AI agents, or GenAI‑enabled applications.
• Minimum of 5 years’ experience within one or more industry verticals such as Banking, Insurance, Manufacturing & Commercial, Automotive, Healthcare & Life Sciences, or Public Sector, demonstrated through delivery, account ownership, or solution leadership.
• At least 2 years of experience supporting or leading presales activities including opportunity identification, solution shaping, proposal development, and executive‑level deal reviews.
• Demonstrated experience leading or significantly contributing to complex RFP, RFI, and proposal responses, including solution architecture, executive presentations, commercial positioning, and stakeholder management.