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Enterprise Ai Solutions Sr.tech Lead
4 weeks ago
**Role Purpose**:
- Act as the technical point of contact with Enterprise product owner, working together to understand the customers challenges and requirements.
- Build robust AI solutions, ensuring alignment with business objectives and customers requirements.
- Along with Enterprise product owners, identify opportunities for AI adoption and suggest innovative solutions to enhance customer value.
- Leverage technical expertise and knowledge of AI technologies to bridge the gap between customers’ requirements and solution development.
- Work side by side with Enterprise product owners to build strong relationships with customers, ensuring their satisfaction and trust in Vodafone AI solutions.
**Key Responsibilities**:
- Solution Development:
- Translate customer requirements into detailed technical specifications.
- Oversee the design, development, and delivery of tailored AI solutions.
- Ensure solutions are scalable, efficient, and seamlessly integrate with customer systems.
Technical Leadership:
- Work closely with Data Scientists and developers, virtually lead the technical squads to ensure the right implementations are there to meet the customers’ requirements.
Decision Ownership:
- Approve solution designs, accept the solutions with Enterprise product owners to ensure it aligns with customers’ requirements and technical constraints.
- Prioritize development efforts based on customer impact and feasibility.
- Customer Engagement:
- Work closely with Enterprise product owners to fulfill the customers’ requirements.
- Present technical concepts and AI solutions in an accessible manner to non-technical stakeholders.
- Support Enterprise product owners to build and maintain strong customer relationships to ensure long-term partnership.
- Opportunity Identification:
- Proactively identify new use cases and opportunities for AI adoption within client organizations.
- Recommend AI-driven innovations to address emerging customer challenges.
**Skills Required**:
- Core competencies, knowledge, and experience
Customer-Focused Communication:
- Strong interpersonal and communication skills for engaging with Enterprise product owners, customers (when needed) and understanding their needs.
- Ability to translate complex technical concepts into customer-friendly language and build robust technical AI solutions accordingly.
Technical Expertise:
- Good understanding of AI/ML technologies, tools, and frameworks.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data solutions.
Business Acumen:
- Strong knowledge of enterprise operations and how AI can deliver value.
- Ability to identify and recommend AI opportunities to address client pain points.
- Problem Solving and Innovation:
- Analytical mindset with a proactive approach to solving complex challenges.
- Innovative thinking to develop novel AI solutions tailored to customer needs.
Collaboration and Leadership:
- Ability to work cross-functionally with technical and business teams.
- Leadership in guiding solution development and ensuring high-quality delivery.
- Must have technical/ professional qualifications:
- Bachelor’s or master’s bdegree in computer science, Artificial Intelligence, Data Science, or a related field.
- 5-7 years of experience in AI/ML & solution design and implementation.
- Hands-on experience with programming languages (Python, R) and AI frameworks).
- Familiarity with enterprise systems and their integration with AI solutions.
- Strong presentation and communication skills for engaging with diverse audiences.
- Proven track record of identifying and implementing innovative AI use cases.