Enterprise AI Solutions Sr.Tech Lead

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:
•    Act as the subject matter expert (SME) for AI technologies and their application in enterprise environments.
•    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.