Microsoft Technology Solutions Lead

Company description Publicis Sapient is a global digital transformation partner that, for more than 30 years, has guided some of the world's largest organisations toward a digitally enabled future, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and Data problem-solving creativity. United by our core values and purpose of helping people thrive in the brave pursuit of Next. Our teams combine deep industry expertise with our SPEED capabilities, Strategy, Product, Experience, Engineering, and Data & AI to tackle the biggest challenges clients are facing today. This is where transformation stops being a buzzword and becomes measurable outcomes for millions of members. Our 20,000+ professionals in 70 offices worldwide combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses by designing the products and services their customers truly value. Our people are problem-solvers and collaborators, leveraging human ingenuity and AI-driven tools to drive innovation. Our 20,000+ professionals in 70 offices worldwide combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses by designing the products and services their customers truly value. Our people are problem-solvers and collaborators, leveraging human ingenuity and AI-driven tools to drive innovation. As a Premier Microsoft Partner with elite, differentiated capabilities across both Microsoft Cloud. Together with Microsoft, we help organisations harness the full Microsoft ecosystem to drive measurable business outcomes. Overview 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 As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]. Your information will be kept confidential according to EEO guidelines.

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

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.