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Leads the design and evolution of Target’s enterprise AI/ML platform, defining architecture for scalable, cloud-native ML lifecycle management, deployment, governance, and observability to enable cross-functional teams to build and deploy AI solutions at scale.
Lead global data-center development programs, coordinating external partners and internal teams to expand Google’s infrastructure while tracking KPIs and reporting to executives.
Build and scale enterprise-grade Generative AI and Agentic AI systems using LLMs, RAG, and agent frameworks like LangChain, focusing on secure, observable, and production-ready deployments.
Lead a team to design and deploy AI/ML, Generative AI, and Agentic AI solutions on AWS and GCP for healthcare use cases, ensuring compliance and rapid delivery of production-grade systems.
Build and ship full-stack products with GenAI and agentic capabilities using modern frameworks and cloud-native AI services.
Builds full-stack cloud apps on GCP with Terraform, integrating LLMs and agentic AI to automate industrial analytics and decision-making for Ford’s mobility products.
Build AI-powered analytics tools for Ford’s mobility data, using full-stack development, GCP/Terraform, and LLM-driven agentic workflows to automate industrial decision-making.
Lead the architecture and delivery of enterprise agentic AI systems using LLMs, orchestration frameworks, and cloud-native MLOps to automate and enhance business operations.
Designs and implements AI/ML and generative AI solutions for enterprise clients, focusing on architecture, LLM/RAG pipelines, and MLOps—collaborating with data and product teams to scale AI from proof-of-concept to production while ensuring security, governance, and cloud platform integration.
You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The…
Vice President, Production Services Infrastructure Support At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart…
Maintain and optimize core ML systems for a large FTSE 100 company, debugging data flows and forecasting models using Python, GCP, and Vertex AI.
WHO WE ARE: A leading partner to the world’s major cloud providers, including AWS, Azure, and Google. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment…
Lead AI-driven process re-engineering at a global bank, designing agentic solutions with LLMs and cloud AI services to automate core workflows and mentor teams.
Senior Data Scientist builds and deploys ML and generative AI models in Python on GCP to improve healthcare outcomes, mentors junior team members, and collaborates with clinicians.
Join as a Gen AI Solutions Engineer — Premier Cloud Job Type: Full-time Travel: Up to 30% (customer sites, Google offices, industry events) Salary Range: $125,000 – $200,000 CAD per year. Actual base salary is based on…
Design and verify custom silicon for Google’s TPU AI accelerators, focusing on management/control subsystems and SoC integration.
A Senior Staff Software Engineer at Ping Identity designs and implements AI agent governance frameworks for enterprise AI platforms (e.g., Amazon Bedrock, Azure AI), focusing on security, compliance, lifecycle management, and observability. Core tech stack: Java/JVM, distributed systems, Gradle, and cloud platforms (AWS/Azure/Google Cloud).
Builds and optimizes the data-center network switches and control planes that power Google’s AI/ML infrastructure and hyperscale services.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
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