Jobs at AuxoAI

Lead and own major client workstreams translating business strategy into AI-enabled solutions. Build stakeholder relationships, design technical approaches, partner with engineers, prototype and deliver AI/data products, mentor junior consultants, and drive measurable business outcomes.

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.

Lead enterprise sales for AI, cloud, and data transformation across Fortune 500 and Global 2000 accounts. Own a regional territory, expand 3-4 strategic accounts, acquire new logos, drive pipeline and annual bookings, build C-suite relationships, coordinate with hyperscalers and partners, and lead complex AI consulting and transformation pursuits.

Lead and grow a regional enterprise sales territory by expanding strategic Fortune 500 and Global 2000 accounts. Drive AI transformation conversations, new logo acquisition, partner GTM with hyperscalers, and close large consulting and transformation engagements while collaborating with solution architects and delivery teams to meet annual bookings and revenue targets.

Own and grow a regional territory by expanding strategic Fortune 500 accounts and developing new Global 2000 customers. Lead executive engagements and complex AI/cloud transformation pursuits, drive pipeline generation, revenue/bookings, and joint GTM with hyperscalers and ecosystem partners. Partner with solution architects, delivery teams, and partners to close large consulting and transformation deals.

Design, build, and maintain scalable AWS-based data pipelines and ETL processes. Collaborate with data scientists, optimize storage and retrieval for performance and cost, enforce data governance and security, troubleshoot pipeline issues, and recommend new data engineering technologies.

Lead client engagements to define and execute AI strategies, assess AI opportunities, and deliver multi-agent AI solutions across functions. Manage cross-functional teams, ensure project delivery, build client relationships, and translate complex AI concepts for business stakeholders to drive measurable outcomes.

Lead master data readiness for an Oracle Fusion ERP transformation: perform profiling, cleansing, mappings, migration support, reconciliation, governance, and stewardship across customer, supplier, product, location, finance, workforce, and reference data domains; partner with IT, business owners, and integrators to establish data contracts, quality metrics, and post-go-live support.

Lead SAP MDG initiatives across Customer, Vendor, Material, Business Partner, and Finance domains. Design, configure, and deliver MDG components (data, UI, process modeling, BRF+, workflows, DRF, mappings). Drive consolidation, migration, cleansing, governance, and approval workflows. Lead workstreams from Explore through Hypercare, engage stakeholders, manage risks and deliverables, and mentor junior consultants.

The Senior Data Scientist will lead ML system design and deployment, mentor junior members, and integrate AI models into business applications.

The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment.

Design and build high-performance, accessible frontend applications with React, TypeScript, and Next.js; develop backend services and APIs with Node.js; integrate cloud infrastructure, containerized deployments, CI/CD, and AI services; establish engineering best practices and mentor peers.

Design and implement scalable data solutions using DBT on Snowflake and Databricks, collaborate with data teams, and maintain data pipelines.

The Senior AI Engineer will develop and deploy AI solutions, lead technical projects, mentor junior engineers, and ensure effective AI-driven automation and orchestration.

The Senior Data Engineer will design and develop end-to-end data pipelines, integrate complex workflows, and implement quality frameworks while mentoring junior engineers in a collaborative environment.

Design and build scalable data architecture and pipelines, analyze requirements, collaborate with teams, and ensure compliance and optimization of data solutions.

The Data Engineer will design, build, and maintain data pipelines and infrastructure, collaborating with teams to optimize data usage for analytics and machine learning.

This role involves developing and deploying AI/ML solutions, providing technical leadership, and collaborating with teams on projects involving Generative AI and LLMs.

AuxoAI seeks a Software Engineer to develop AI-driven platforms, focusing on scalable applications. Responsibilities include building user experiences, implementing architecture, collaborating with designers, and ensuring code quality.

The Senior Data Engineer will design and optimize data platforms on Google Cloud Platform, focusing on batch and streaming pipelines, mentorship, and ensuring data quality and performance.