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You will act as a trusted advisor and expert solution architect for the Databricks Data Intelligence Platform, guiding customers through complex data challenges and pre-sales cycles.
The Senior Field Technical Program Manager leads complex customer engagements for Databricks' Forward Deployed Engineering team, managing project scope, risks, and technical strategy. This role requires strong program management and communication skills to guide cross-functional teams and ensure successful delivery of data and AI solutions.
The Senior Technical Program Manager will lead professional services engagements for Databricks, managing project delivery, stakeholder relationships, and commercial outcomes for enterprise data and AI/ML projects. The role involves overseeing cross-functional teams, driving project governance, and identifying expansion opportunities within key accounts.
As a Sr. Solutions Architect at Databricks, you lead technical customer engagements, design data solutions using the Databricks platform, deliver proofs-of-concept, and contribute to reusable technical assets for data engineering, analytics, and machine learning teams.
Pre-sales Solutions Architect designing data and AI solutions for automotive manufacturers in Japan, building demos and prototypes on Databricks to accelerate adoption of the Data Intelligence Platform.
Senior Solutions Engineer at Databricks helping digital-native and scale-up customers in Spain adopt the Data Intelligence Platform, demoing Spark-based analytics, and guiding technical adoption.
Leads complex enterprise data and AI strategy for Databricks’ largest customers, designing scalable architectures (multi-workload, real-time, AI/ML) and mentoring teams to drive platform adoption and revenue growth.
The Senior Technical Solutions Engineer provides technical support for the Databricks unified analytics platform, troubleshooting complex issues and guiding customers on best practices. The role requires expertise in Python, SQL, and cloud environments to assist with Big Data ecosystem challenges.
Expert DevOps engineer designs and automates cloud data pipelines and infrastructure for enterprise clients, using GCP/Azure, Kubernetes, Terraform, and Python.
Lead demand generation and marketing for an AI-focused creative agency, driving pipeline growth and optimizing campaigns with AI tools and data insights.
Lead the design and optimization of agentic AI systems, fine-tuning models for reliability and structured workflows using Rust, Python, and ML frameworks like PyTorch.
Senior engineer embeds with AI startups to deploy and optimize large LLM inference workloads on DigitalOcean’s GPU cloud, reducing latency and cost via distributed systems and open-source frameworks.
Senior engineer in Bengaluru who partners with AI-native companies to deploy, optimize, and scale production AI systems on DigitalOcean’s AI-Native Cloud, focusing on inference, agentic workloads, and platform tooling.
Lead the architecture of large-scale AI simulation systems that test multi-agent workflows, generate synthetic user personas, and evaluate LLM configurations for DigitalOcean’s Agentic AI platform.
Owns the AI-driven investment content journey for Toss Securities, from content creation to user discovery and retention, using data and experiments to build trust in AI recommendations.
Research and develop multimodal LLMs and multi-agent systems for embodied AI in robotics, focusing on navigation, manipulation, and task decomposition.
Build next-gen AI systems (chatbots, document validation, voicebots) using TypeScript, React, NestJS, and LLMs to automate insurance transactions.
Develops and maintains government-owned AI infrastructure for machine reasoning, integrating data ingestion, semantic representation, and graph-based fusion. Focuses on building scalable, enduring systems for national defense and government missions.
Leads the development and rollout of a RAG-based knowledge agent, partnering with content providers to secure high-quality data and setting quality standards for retrieval and generation pipelines.
You will scale a secure AI-powered platform using Java, Spring, TypeScript, React, Angular, and AWS, owning builds and contributing to architectural decisions.
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