The Role
Develop and drive AI strategies for clients by identifying AI use cases, conducting assessments, collaborating with cross-functional teams, and leading projects to deliver measurable business outcomes across sales, marketing, and customer experience.
Summary Generated by Built In
About AuxoAI:
AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and
AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI)
technologies to drive growth, enhance their operations, improve customer experiences, and provide clear,
actionable insights from their data.
What We Do : We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and
in sales, marketing, and customer support functions. We help our clients with accelerating their digital and AI
journeys through:
• AI Application Development
• Data, Digital and Cloud acceleration using AI
• AI Native Product Engineering
Role Summary:
As an AI Strategist at AuxoAI, you will play a pivotal role in shaping and executing AI-driven strategies for our clients.
Leveraging cutting-edge Analytics and AI technologies, you will tackle real-world problems and drive tangible
business impact. This role offers a unique opportunity to work at the intersection of AI, business strategy, and
Analytics. Here, you will apply your expertise to identify, plan, and execute AI initiatives that deliver measurable
business outcomes.
AI Strategist at AuxoAI will formulate and contribute to the development of multiagent AI applications across
business functions like customer experience, sales, marketing etc. They will be responsible to work across different
practices like engineering, product and data science to drive enterprise transformation for clients globally and across
industries
Responsibilities:
• Collaborate with clients to understand their business objectives and challenges and develop tailored AI
strategies that align with their goals.
• Conduct comprehensive assessments to identify opportunities where AI can drive business value, improve
efficiency, and enhance decision-making processes.
• Take ownership of projects, ensuring they are delivered on time, within scope, and meet or exceed client
expectations.
• Collaborate with cross-functional teams, including data scientists, engineers, business analysts, and
managers, to ensure the successful implementation of projects.
• Build strong relationships with clients, serving as a trusted advisor and providing ongoing guidance and
support throughout the project lifecycle.
• Stay informed about industry trends, best practices, and emerging technologies in AI and share knowledge
within the organization.
Qualifications:
• 3+ years of experience in Data Analytics, AI/ML techniques, with the ability to leverage data insights for
strategic decision-making.
• Strong ability to think strategically and develop AI strategies that align with business objectives.
• Excellent communication and interpersonal skills, with the ability to convey complex AI concepts to nontechnical stakeholders.
• Demonstrated project management skills, with the ability to execute and lead projects.
• Strong business acumen and the ability to identify opportunities for AI-driven business growth.
• Working knowledge of SQL and Python, and basic data exploration/prototyping.
Skills Required
- 3+ years of experience in Data Analytics and AI/ML techniques
- Ability to think strategically and develop AI strategies aligned with business objectives
- Excellent communication and interpersonal skills to explain complex AI concepts to nontechnical stakeholders
- Demonstrated project management skills and ability to lead project delivery
- Strong business acumen and ability to identify AI-driven growth opportunities
- Working knowledge of SQL and Python and basic data exploration/prototyping
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The Company
What We Do
AuxoAI partners with enterprise leaders to build AI systems, enabling the creation of AI-first enterprises by moving from AI strategy to production-grade deployed systems in weeks.









