Top Tech Jobs & Startup Jobs

Drive revenue and profit growth for water treatment programs across assigned institutional accounts. Build customer relationships, execute sales plans, identify operational challenges, provide technical support, analyze systems and data, recommend improvements, and sell innovative technologies. The role covers a Philadelphia-area territory within approximately 50 miles and requires less than 25% overnight travel.

Lead AI Engineers and Data Scientists delivering production-grade GenAI, agentic AI, LLM, RAG, and machine learning solutions. Own architecture, technical direction, delivery, MLOps, cloud deployment, observability, security, model quality, and continuous improvement. Translate business priorities into executable plans, establish SDLC and operational practices, develop reusable AI frameworks, and partner across product, platform, security, and engineering teams. Manage hiring, coaching, performance development, and team growth while serving as the primary technical and delivery escalation point.

Designs, builds, and deploys LLM-powered intelligent systems, including agentic workflows, embedding pipelines, RAG solutions, and cloud-native AI applications. Develops scalable applications for summarization, Q&A, and decision support; integrates Databricks, Snowflake, vector stores, and APIs; deploys containerized services through Azure CI/CD; and monitors production models for performance and cost efficiency.

Design, build, and deploy LLM-powered applications, agentic workflows, and embedding-based retrieval systems. Develop scalable AI workflows using Python, Databricks, Snowflake, vector databases, and cloud-native Azure infrastructure. Implement containerized CI/CD delivery, integrate APIs, monitor production model behavior, and optimize performance and cost.

Design, build, and deploy LLM-powered applications, agentic workflows, embedding pipelines, and retrieval systems. Integrate vector stores, Databricks, Snowflake, and Azure cloud services using containerized CI/CD practices. Monitor production model behavior while optimizing performance, scalability, and cost.

Leads AI Engineers and Data Scientists delivering production-grade GenAI, agentic AI, LLM, and machine learning solutions. Owns architecture, technical direction, delivery, MLOps, cloud-native deployment, observability, security, responsible AI, and operational excellence. Translates product goals into engineering plans, manages technical dependencies, establishes SDLC and build-own-operate practices, and drives reusable frameworks. Also handles hiring, coaching, performance development, stakeholder collaboration, KPI tracking, and escalation management.

Leads a team of AI engineers developing generative AI solutions, agentic systems, and LLM-integrated applications. Oversees solution delivery, team capability development, technical program execution, stakeholder alignment, and connection of AI initiatives to business outcomes.

Lead Direct and Indirect tax compliance for MEA, coordinate external audits, prepare statutory reporting and financial statements, liaise with local finance teams, auditors and authorities, support transfer pricing and international transaction reporting, reconcile local GAAP with US GAAP/IFRS, and provide tax-related guidance across MEA jurisdictions.

Manage revenue and profit growth across strategic customer accounts in India. Develop sales strategies, acquire competitive accounts, promote new technologies, and build executive relationships. Lead and coach district representatives, analyze customer systems and data, provide recommendations, stabilize at-risk business, and deliver continuous improvement plans. The role is based in Bangalore and includes technical sales, customer consulting, and leadership responsibilities.

Own the strategy, roadmap, delivery, integrations, governance, and continuous improvement of Ecolab’s ServiceNow-based Associate Portal. Translate associate and business needs into scalable platform capabilities, guide backlog and technical tradeoffs, and partner with product, UX, architecture, engineering, HR, communications, AI, and business teams. Lead enterprise search, knowledge, personalization, workflow automation, conversational AI, content governance, analytics, security, accessibility, and global experience initiatives.