Publicis Sapient · 1 day ago
Senior Director, Solution Engineering, Google Cloud
New York, United States
Full-time
Hybrid
Director/Executive
$150K/yr - $230K/yrPublicis Sapient is a digital transformation partner dedicated to helping established organizations realize their digitally enabled future by fusing strategy and consulting with agile engineering. In this pivotal role, you will architect innovative AI/ML solutions aligned with Google Cloud’s product roadmap, consult with clients, and lead high-stakes pre-sales activities.
Artificial Intelligence (AI)ConsultingDatabaseEnterprise
Responsibilities
Architectural Engineering & Design: Engineer end-to-end, cloud-native architectures on GCP by orchestrating IaaS, PaaS, and Big Data services to support scalable, distributed systems. This includes architecting production-grade AI/ML pipelines using Vertex AI, Gemini, and Agentic AI frameworks while adhering to enterprise pillars of security, cost-optimization, and high-availability
Hands-on Delivery & Prototyping: Actively collaborate with project teams to demonstrate, experiment with, and prototype GCP product integrations and practical use cases within customer and partner environments. You will be personally hands-on, working with small dev teams to rapidly build POCs that prove capability and de-risk client decisions. You will use modern AI developer tools extensively to accelerate prototyping, iteration speed, and quality
Customer Advisory: Conduct discovery sessions to deeply understand client requirements and provide expert guidance on AI/ML best practices and implementation strategies, informed by real implementations across industries
Pre-Sales Leadership: Drive pre-sales efforts by creating compelling technical proposals, conducting technical deep-dives, and collaborating with sales teams to develop winning strategies. Lead early-stage solution definition and shape the “first version” of a client solution alongside engineering and sales leadership
Technical Evangelism: Evangelize and educate delivery teams on “Why Google Cloud and How?” while staying at the forefront of emerging AI/ML technologies. Curate and share field learnings across teams so successful patterns become repeatable offerings
Strategic Road-mapping: Recommend integration strategies, enterprise architectures, and the application infrastructure required to implement complete solutions using GCP best practices. Maintain a current view of GCP services and trends, and translate them into practical solution plays and accelerators
Reusable Solution Assets & Demo Repository: Build and maintain a personal and team-accessible repository of practical examples—reference architectures, code samples, POCs, and demos—that can be reused across pursuits. Be able to point to published examples of solutions you’ve built (e.g., code repositories, demo applications, technical write-ups) to establish credibility and accelerate client conversations
Engineering Leader Co-Partner: Serve as a trusted co-partner to engineering leaders—helping them evolve solutions in the earliest stages, stress-test feasibility, sharpen the technical narrative, and show up with strong demos and relevant industry examples when it matters
Strategic Ecosystem Alignment: Cultivate and deepen technical relationships with Google Partner and Customer Engineering teams to manage product briefings and coordinate specialized resources for complex solutioning
Joint Innovation & Feedback Loops: Collaborate with Google product management and engineering teams to stay ahead of industry trends and provide field feedback to refine Publicis Sapient’s GCP solutions and accelerators
Qualification
Required
Architect end-to-end, cloud-native architectures on GCP by orchestrating IaaS, PaaS, and Big Data services to support scalable, distributed systems
Architect production-grade AI/ML pipelines using Vertex AI, Gemini, and Agentic AI frameworks while adhering to enterprise pillars of security, cost-optimization, and high-availability
Actively collaborate with project teams to demonstrate, experiment with, and prototype GCP product integrations and practical use cases within customer and partner environments
Work with small dev teams to rapidly build POCs that prove capability and de-risk client decisions
Use modern AI developer tools extensively to accelerate prototyping, iteration speed, and quality
Conduct discovery sessions to deeply understand client requirements and provide expert guidance on AI/ML best practices and implementation strategies
Drive pre-sales efforts by creating compelling technical proposals, conducting technical deep-dives, and collaborating with sales teams to develop winning strategies
Lead early-stage solution definition and shape the 'first version' of a client solution alongside engineering and sales leadership
Evangelize and educate delivery teams on 'Why Google Cloud and How?' while staying at the forefront of emerging AI/ML technologies
Curate and share field learnings across teams so successful patterns become repeatable offerings
Recommend integration strategies, enterprise architectures, and the application infrastructure required to implement complete solutions using GCP best practices
Maintain a current view of GCP services and trends, and translate them into practical solution plays and accelerators
Build and maintain a personal and team-accessible repository of practical examples—reference architectures, code samples, POCs, and demos—that can be reused across pursuits
Serve as a trusted co-partner to engineering leaders—helping them evolve solutions in the earliest stages, stress-test feasibility, sharpen the technical narrative, and show up with strong demos and relevant industry examples when it matters
Cultivate and deepen technical relationships with Google Partner and Customer Engineering teams to manage product briefings and coordinate specialized resources for complex solutioning
Collaborate with Google product management and engineering teams to stay ahead of industry trends and provide field feedback to refine Publicis Sapient's GCP solutions and accelerators
Preferred
Current Professional Google Cloud certifications, specifically Cloud Architect, Data Engineer, and Machine Learning Specialty
A robust professional network and established relationships with Google Partner Teams, particularly Partner and Customer Engineering groups
Proven technical exposure to orchestrating integrations between GCP and third-party enterprise platforms, including Salesforce, Oracle, and VMware environments
Demonstrated experience in building and leading innovation-led technical teams using agile frameworks, including establishing 'POC-to-offering' pathways (reference implementations, demo assets, accelerators)
A sophisticated understanding of the Google Marketing Platform (GMP) and Google Ads ecosystem to drive unified data and marketing solutions
Deep comfort collaborating with senior technical stakeholders on complex topics such as Security, Data Privacy, and Information Management
Experience presenting in GCP forums (e.g., Google Cloud Next and partner events), with credibility as a practitioner who can translate real implementations into clear points of view
Benefits
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
Company
Publicis Sapient
Publicis sapient is a digital consulting firm that offers consulting, technology, and product management services. It is a sub-organization of Publicis Sapient.
Founded in 1990
10001+ employees
H1B Sponsorship
Publicis Sapient has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (90)
2024 (90)
2023 (85)
2022 (153)
2021 (235)
2020 (231)
Funding
Current Stage
Late StageLeadership Team
Nigel Vaz
CEO
Nathalie Le Bos
Chief Financial Officer
Recent News
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