Jobs at Artefact (artefact.com)

The Accounting Specialist at Artefact manages day-to-day financial operations including accounts receivable, accounts payable, month-end close, project accounting, and intercompany coordination.

Lead multidisciplinary teams to deliver AI and data transformation projects, develop client portfolios, drive sales and proposals, ensure high-quality delivery, and spread consulting knowledge across the firm.

As a Project Manager, you'll develop strategies, solve complex problems with data and AI, manage projects, and engage with clients to drive strategic initiatives.

As a Senior Consultant, you'll develop strategies, solve complex problems, deliver projects, engage clients, and contribute to business growth through data and AI expertise.

Seeking a skilled Data Engineer with Apache Airflow experience to design, build, and maintain scalable data pipelines, optimize ETL processes, and provide technical leadership while collaborating with cross-functional teams.

Lead client engagements on AI strategy and data transformation, working with C-level stakeholders to define governance, roadmaps, and impact-driven programs. Break down ambiguous problems into structured recommendations, run workshops, align technical delivery with business objectives, and contribute to offer development and thought leadership.

Lead marketing-focused data science projects, build end-to-end ML solutions (attribution, MMM, campaign optimization), mentor junior team members, collaborate with consultants and engineers, and improve Artefact's internal tooling and MLOps practices to deliver high-quality client outcomes.

Lead and manage projects involving LLMs and generative AI, drive technical excellence, mentor teams, and engage with clients to deliver innovative AI solutions.

Lead end-to-end development of GenAI web applications, integrate ML models, manage prompt/context and vector DBs, configure agent orchestration, mentor developers, engage clients, and oversee cloud deployments and CI/CD.

Lead data and AI transformation engagements: define AI and data strategies, advise C-level clients, manage cross-functional teams, drive business development, ensure solution adoption, and contribute to thought leadership and internal training.

As a Senior Analytics Consultant, manage stakeholders, design data models, lead analytics engineering, and ensure data quality while providing strategic insights to clients.

Lead design and implementation of scalable, reliable software systems for GenAI/LLM projects. Deploy and optimize applications using Docker, Kubernetes, Terraform, and cloud platforms. Manage multidisciplinary teams and client engagements, establish engineering best practices, and integrate emerging technologies to ensure high-quality, performant AI-powered systems.

Lead design, development, and deployment of LLM and generative AI solutions (RAG, agentic AI, multi-modal). Architect production-ready systems, mentor teams, build evaluation frameworks, manage client engagements, and drive innovation and thought leadership.

The Data Engineer will design, build, and maintain scalable data pipelines using Apache Airflow, ensuring reliable data delivery and optimizing ETL processes.

Join Artefact's Data & Consulting team to innovate and enhance data strategies through advanced analytics, collaborating with diverse teams to deliver solutions.

As a Senior Consultant in Data & AI Strategy, you will advise clients on data-driven strategies, analyze data, manage projects, and develop AI solutions.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.

Lead the development of client-facing web applications integrating Generative AI solutions, mentor junior developers, and collaborate with ML engineers.

As a Data Scientist - GenAI, you'll design and optimize LLM models, develop AI solutions, and solve complex business challenges through generative AI.

As a Senior Data Engineer, you will develop scalable data pipelines in GCP, transform data for visibility via Looker, ensure data quality, and provide technical advisory.