Top Tech Jobs & Startup Jobs

Owns end-to-end architecture and technical outcomes for enterprise Gemini AI deployments on GCP. Designs the GenAI platform, agent ecosystem, context graph, data foundation, governance, runtime, and adoption strategy. Advises executives, leads architecture reviews, resolves cross-track tradeoffs, owns technical proposals and estimates, manages delivery risk and costs, and develops delivery teams. Requires production GenAI delivery, cloud architecture, graph and semantic data expertise, regulated-environment experience, and senior client engagement leadership.

Lead the AWS practice’s technical strategy, architecture, delivery quality, customer engagements, and partnership initiatives. Design enterprise cloud, data, AI, and generative AI solutions; guide complex transformation programs; support executive briefings and presales; and establish governance and technical standards. Build reusable AWS solution assets, mentor architects and engineers, drive certifications, and help grow the consulting practice and revenue.

Owns the end-to-end health of a client’s enterprise data estate across legacy and modern platforms. Leads governance, SLAs, incident and problem management, data architecture standards, monitoring, data quality, and cross-party resolution. Establishes AIOps, intelligent observability, predictive failure detection, and self-healing automation while managing client stakeholders, demand governance, service reporting, and implementation roadmaps.

Lead the strategy, development, delivery, and adoption of AI-powered marketing and sales products for enterprise clients. Translate business needs into product requirements, manage roadmaps, prioritize features, coordinate data science and engineering teams, oversee consulting engagements, and drive measurable business outcomes across revenue operations. The role also includes executive stakeholder management, client workshops, cross-functional delivery leadership, team mentoring, and change management.

Build and deploy production LLM agents for client engagements on the Gemini Enterprise Agent Platform. Responsibilities include agent development, tool and MCP integration, graph-based grounding, data pipelines, evaluation, observability, governance, infrastructure deployment, and catalog publishing. The role partners closely with client engineers, supports proofs of concept and demos, and transfers maintainable solutions to client teams.

Lead AuxoAI’s US brand and ecosystem marketing engine across Google Cloud and AWS partnerships. Own partner co-marketing, field events, earned media, PR, executive speaker programs, thought leadership, and influencer engagement. Build pipeline and market credibility while managing the India-based content and design team, aligning creative output with US partner and field priorities. Track brand visibility, media impact, event ROI, partner marketing performance, and content quality.

Develop and drive AI strategies for clients by identifying AI use cases, conducting assessments, collaborating with cross-functional teams, and leading projects to deliver measurable business outcomes across sales, marketing, and customer experience.

Lead enterprise AI transformation engagements on Google Cloud. Design scalable AI, machine learning, data, and cloud-native architectures using Gemini Enterprise, Vertex AI, BigQuery, GKE, Cloud Run, and AlloyDB. Conduct customer strategy workshops, guide architecture governance, partner with sales and delivery teams, and advise enterprise stakeholders on secure production deployment and Google Cloud adoption.

Lead design and delivery of enterprise AI solutions on AWS: architect production-grade AI platforms, create reusable reference architectures and accelerators, run executive workshops, support strategic sales pursuits, mentor engineering teams, and collaborate with frontend and delivery teams across large-scale transformations.

Lead and expand strategic Global 2000 and Fortune 500 accounts by driving AI-enabled data modernization and transformation. Build executive relationships, generate pipeline, close large consulting engagements, coordinate with hyperscalers and partners, and achieve annual bookings and revenue targets.