Job Description

Role Overview

Publicis Sapient is looking for a Microsoft Solutions Technical Leader to join our Microsoft Business Unit. This is a hands-on builder-leader role at the intersection of advanced cloud engineering, AI/ML innovation, and strategic client advisory.

You will serve as the technical "north star" for both sales and delivery teams, architecting production-grade solutions, leading rapid prototyping of high-stakes pursuits, and converting real-world implementation knowledge into scalable, repeatable offerings.

This role acts as a force multiplier across the organisation. You will partner with engineering leaders, delivery teams, and Microsoft counterparts to capture what works in the field and transform it into reusable assets, demos, and go-to-market accelerators. You will apply cross-industry pattern thinking (e.g., Financial Services, Retail) to accelerate solutioning across additional sectors and ensure our Microsoft Cloud solutions are both winnable and executable at scale.

Responsibilities

Your Impact

Architect & Engineer Scalable Microsoft Solutions

Design and engineer end-to-end cloud-native architectures on Microsoft Cloud, orchestrating IaaS, PaaS and data services to support scalable, distributed systems.

You will architect enterprise-grade AI/ML pipelines using Vertex AI, Gemini and agentic AI frameworks while ensuring security, cost optimisation and high availability.

Lead Hands-on Prototyping & Rapid POCs

Work directly with small development teams to rapidly build prototypes and proof-of-concepts that demonstrate capability and de-risk client decisions.

Leverage modern AI-assisted development tools to accelerate iteration speed and delivery quality.

Act as a Trusted Client Advisor

Conduct discovery sessions and provide expert guidance on AI/ML implementation strategies grounded in real-world delivery experience across industries.

Evangelise Microsoft Cloud & AI Innovation

Educate and inspire delivery teams on the "why and how" of Microsoft Cloud.

Continuously capture field learnings and transform successful approaches into repeatable offerings and accelerators.

Build Reusable Assets & Demo Libraries

Create and maintain a repository of reference architectures, code samples, demos and POCs that accelerate pursuits and delivery.

Bring credibility through published examples of solutions you have built (e.g., code repositories, technical content, demo applications).

Partner with Engineering Leadership

Act as a trusted co-partner to engineering leaders-stress-testing feasibility, refining early-stage solutions, and showcasing strong demos and industry examples when it matters most.

Strengthen the Microsoft Ecosystem Partnership

Build deep relationships with Microsoft Partner and Customer Engineering teams to coordinate specialised resources and product briefings.

Provide field feedback to Microsoft product and engineering teams to shape future innovation and strengthen joint solutions.

Qualifications

Qualifications

Experience & Leadership

• 10-12+ years in solution architecture with a strong focus on AI/ML and Microsoft Cloud technologies
• Proven experience in customer-facing architecture roles within professional services or systems engineering
• Demonstrated ability to influence senior technical stakeholders and executive audiences

Technical Expertise

• Deep expertise across Microsoft Cloud IaaS, PaaS, data and AI/ML services
• Proven track record designing and delivering enterprise AI/ML solutions
• Strong hands-on experience building prototypes and production-ready reference implementations using modern AI-assisted development tools

Cross-Industry Perspective

• Experience delivering solutions across multiple industry verticals (e.g., Financial Services, Retail)
• Ability to identify reusable patterns and apply them across sectors to accelerate go-to-market execution

Communication & Stakeholder Management

• Confident presenter able to deliver persuasive technical narratives to both technical and non-technical audiences
• Strong collaborator able to align multiple engineering teams around reusable solution patterns

Set Yourself Apart With

• Microsoft Cloud Professional certifications (Cloud Architect, Data Engineer, Machine Learning Specialty)
• Established relationships within Microsoft Partner and Customer Engineering teams
• Experience integrating GCP with enterprise platforms such as Salesforce, Oracle and VMware
• Background building innovation-led technical teams and creating "POC-to-offering" pathways
• Experience collaborating on complex topics including security, data privacy and information management
• Thought leadership through presentations at Microsoft Cloud or partner events and published technical content

Join us in the brave pursuit of next.
Publicis Sapient

Additional Information

Pay Range: $200,000 - $270,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself. Benefits of working here: Flexible vacation policy; time is not limited, allocated, or accrued 16 paid holidays throughout the year Generous parental leave and new parent transition program Tuition reimbursement Corporate gift matching program