Data Scientist

Senior Data Scientist / Forward Deployed Engineer (No Sponsorship Available/Cannot Support C2C)

Locations: Phoenix, AZ

Join a newly formed, executive-sponsored AI Transformation team focused on bringing AI solutions from concept to production across a large enterprise environment. This team operates at the intersection of business and technology, partnering directly with stakeholders to identify high-impact opportunities, rapidly prototype solutions, and deliver AI-powered applications that drive measurable business outcomes.

This is an opportunity to work on greenfield AI initiatives, influence the future direction of enterprise AI adoption, and help establish best practices for how AI is implemented at scale.

• Partner directly with business stakeholders to understand challenges and identify AI-driven solutions.
• Translate ambiguous business requirements into technical architectures and production-ready applications.
• Design, develop, and deploy AI agents, copilots, and intelligent automation solutions.
• Rapidly prototype and iterate on solutions to validate business value.
• Build applications leveraging LLMs, agent frameworks, retrieval systems, and modern AI tooling.
• Drive projects from ideation through deployment and adoption.
• Collaborate with product, engineering, and program leadership to deliver measurable outcomes.
• Advise stakeholders on AI capabilities, limitations, and implementation strategies.
• Help define standards and best practices for enterprise AI development.

• 5+ years of software engineering experience.
• Hands-on experience building and deploying AI applications in production.
• Strong understanding of LLMs, agentic workflows, prompt/context engineering, and modern AI architectures (in an enterprise capacity)
• Experience developing AI agents from scratch and integrating external tools, APIs, and services.
• Experience with agent frameworks, orchestration platforms, MCPs, skills, harnesses, or similar AI ecosystems.
• Strong system design and architecture skills.
• Ability to decompose complex business problems into scalable technical solutions.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to work in ambiguous, fast-moving environments.

• Experience with coding agents, AI-assisted software development, or SDLC automation.
• Background in consulting, solution engineering, forward deployed engineering, or technical leadership roles
• Exposure to model routing, RAG architectures, vector databases, and enterprise AI platforms.
• Experience delivering customer-facing or business-facing AI solutions.
• Prior experience working closely with product teams.
• Alternate Profile: AI/ML Data Scientist

• Expertise in machine learning, predictive modeling, and statistical analysis.
• Experience designing and deploying anomaly detection systems.
• Strong Background in experimentation, model evaluation, and analytics.
• Ability to identify opportunities where traditional ML approaches are more effective than agent-based solutions.
• Experience partnering with engineers to operationalize AI/ML solutions in production environments.

• Converts complex business challenges into production-ready AI solutions.
• Delivers measurable improvements in efficiency, accuracy, and business outcomes.
• Demonstrates strong product thinking and customer empathy.
• Successfully balances rapid experimentation with scalable engineering practices.
• Becomes a trusted advisor to business and technology stakeholders.

You’ll be among the first members of a high-visibility AI Transformation organization tasked with driving enterprise-wide AI adoption. This role offers the opportunity to work on diverse, impactful initiatives, influence how AI is implemented across an organization, and help shape the future of AI-powered business operations.

Python, Artificial intelligence

Product Mindset:
Thinking beyond model accuracy, Focusing on business impact and user workflows

Stakeholder Communication:
Working directly with business teams, Explaining technical concepts to non-technical audiences

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