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ArganAI Consultant / Product-Engineer Analyst

Argano

United StatesRemote1 month ago
67 views16 saves6 applies

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Benefits

Remote Work

Job Type

full time

Description

Argano is seeking entrepreneurial, AI-savvy talent to join Argano’s emerging ArganAI practice. We are looking for hybrid thinkers—individuals who can operate at the intersection of product, analytics, engineering, and consulting—to help shape the next generation of AI-led enterprise transformation.

This is not a traditional corporate consulting role. We are looking for curious builders, creative problem-solvers, and future-focused professionals excited by bold ideas such as defining the future of consulting, building an Anthropic-centered AI practice, and helping enterprises become fully agentic.

Ideal Profile:

At least 2 years of experience in a blend of product management, business analysis, AI/ML engineering, solution consulting, or digital transformation

Strong understanding of emerging AI technologies, LLM ecosystems, agents, and enterprise automation

Comfortable moving between strategy, experimentation, prototyping, and execution

Entrepreneurial mindset with a bias for innovation and building from zero to one

Ability to translate business problems into AI-enabled solutions

What You’ll Do:

Help design and build Argano’s ArganAI offerings and client solutions

Partner across consulting, product, and engineering teams to create agentic enterprise use cases

Evaluate and prototype emerging AI technologies and enterprise applications

Contribute to thought leadership around the future of AI-enabled consulting

Work in a fast-moving, less hierarchical, highly collaborative environment

This job is found at InterviewStack.io

Skills

analyticsllmautomationprototypingproduct managementbusiness analysisexperimentation

About Argano

Argano is the world's largest global digital services consultancy exclusively focused on enabling high-performance business operations. The company provides strategy, design, execution, and managed services across enterprise technology, data, cloud, AI, and operations expertise.

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