Lead and mentor a team of application engineers while providing technical guidance and architectural direction for complex projects. Design, develop, and maintain scalable microservices and lead application modernization initiatives on Google Cloud Platform.
Design and maintain Infrastructure-as-Code modules and deployment pipelines for Azure enterprise data environments. Implement secure multi-cloud networking and manage platform services including Kubernetes, storage, and identity access controls.
You will manage and optimize large-scale GPU training platforms and distributed training workloads on GKE. Additionally, you will partner with infrastructure teams to benchmark performance, debug bottlenecks, and ensure the reliability of AI model training pipelines.
The role involves designing data pipelines, performing feature engineering, and developing predictive machine learning models. You will also be responsible for deploying production code, monitoring data products, and collaborating with cross-functional teams to deliver actionable insights.
Design and build full-stack applications and services that bridge raw data with user-facing AI/ML insights. Collaborate with architects to implement scalable, cloud-native solutions while ensuring code quality and performance.
The Client Partner will own the full sales lifecycle and P&L for the public sector, driving revenue growth through strategic account planning and complex deal closure. They will serve as a trusted advisor to C-level stakeholders while collaborating with Google Cloud and internal teams to deliver modernization outcomes.
The Senior Specialist/Manager will oversee end-to-end global payroll and benefits administration for employees across the U.S., Canada, and Europe. They will also manage HRIS operations, ensure cross-border compliance, and lead a small team of offshore support staff.
You will lead a team of twenty engineers while spearheading the AI practice's hiring, onboarding, and operational frameworks. Additionally, you will maintain a 50% billable client engagement focus, providing expert advisory on AI SDLC, governance, and cloud platform architecture.
Lead high-impact organizational transformations by embedding with client teams to ensure successful adoption of AI-powered work paradigms. Develop and execute change management strategies, facilitate executive coaching, and manage stakeholder engagement to drive business outcomes.
The Client Partner is responsible for driving multi-million dollar business outcomes by serving as a strategic advisor to executive stakeholders and managing a portfolio of accounts. They will orchestrate cross-functional teams to deliver complex data, AI/ML, and cloud-native solutions while driving growth through strategic partnerships.
The Client Partner will own the strategic growth and commercial lifecycle of a portfolio of accounts, serving as a trusted advisor to executive stakeholders. They will lead cross-functional teams to deliver complex data, AI, and cloud transformation solutions that drive measurable business outcomes.
Lead the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform. Collaborate with customers to translate business goals into robust architectural blueprints while mentoring engineering teams.
The Lead Data Engineer will design, architect, and deploy robust GCP data pipelines to support data-driven decision-making. They will also collaborate with cross-functional teams to estimate work efforts and produce technical design specifications.
You will architect and build end-to-end Generative AI applications, including document intelligence and RAG pipelines, on Google Cloud. Additionally, you will collaborate with clients to translate business needs into scalable, high-performance AI architectures while applying MLOps best practices.
The Pre-Sales Architect designs bespoke technical solutions and conducts product demonstrations to drive revenue growth. The role balances pre-sales activities with strategic delivery, spending 50% of the time ensuring successful implementation for key accounts.
Set the technical direction and architecture for complex Generative AI and agentic systems while remaining hands-on in development. Partner with client leadership to translate business strategies into scalable, production-ready AI solutions.
As a Lead Cloud Engineer, you will lead the implementation and operationalization of cloud solutions, ensuring high-quality delivery throughout the project lifecycle. You will also design, deploy, and manage scalable cloud infrastructure to support business and application requirements.
Act as a technical advisor to define enterprise-wide cloud strategies and lead the implementation of large-scale solutions on Google Cloud. Oversee cloud governance, cost optimization, and the mentorship of senior cloud engineers.
As a Delivery Lead, you will partner with customers to build relationships and manage project delivery from planning to execution. You will also coach teams in agile practices and ensure effective communication with stakeholders.
