Infosys is seeking a Segment Lead - AI. As part of Infosys' Strategic Technology Group, you will be responsible for defining, taking to the market and growing next generation Artificial Intelligence Strategy and Consulting Service line.
You will work with internal and external stakeholders to deliver AI initiatives for leading global organizations worldwide.
You will identify technology big bets in AI space, develop reusable solutions around them, lead solution prototypes and proactively take it to the market.
You will be responsible for defining GTM (Go to Market) strategy, demand generation and growth of this service line. You will help to enable the team and to develop point of views, thought leadership content on AI technology trends influencing enterprises.
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You will also network and collaborate with IT and Business Leaders such as, CTO, CDOs of client organizations. To carry this responsibility, it requires a seasoned mix of business acumen, AI and data technology experience, and an entrepreneur's spirit.
Required Qualifications:
• Candidate must be located within commuting distance of Raleigh, NC or Richardson, TX or Phoenix, AZ willing to relocate. This position may require travel in the US.
• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• At least 18 years of Information Technology experience, with at least 5 years' experience in Technology Consulting in one or more areas like Digital, Cloud, AI or Enterprise Architecture across multiple layers of technologies including Application, Data, Infrastructure, hyper scalers etc.
• In depth experience in architecture and delivery of programs in data, analytics, ML and AI technologies.
• Should have very good understanding and exposure to the products and models relevant to data, analytics and AI space.
• Should have good understanding of the AI standards and industry best practices.
• Prior Experience in software development, Architecture and Design of large enterprise systems. In addition, prior experience in one or more areas like creating IT Strategy & Roadmap, Cloud adoption strategy, TCO analysis, AI adoption strategy, Responsible AI Adoption and Legacy Tech Transformation.
• Should have experience and expertise in following technologies: Java, Python, Data engineering, Data and Database engineering, AI, Machine Leaning, Generative AI, Scripting, Spark, Hadoop, SQL, NoSQL, PyTorch and one of the cloud technologies like AWS, Azure or GCP.
• Should have worked on at least in two or more industry domains. Should have a good knowledge of industry domain business capabilities specific tech platforms, products and solutions space in two or more industries.
• Should have very good communication and articulation skills (verbal and written) and should be able to communicate with right level of abstraction and details, when interacting with CxOs, Middle management and developers, non-IT stakeholders. Should be able to drive workshop discussions with IT and Business communities.
• Should have personally led and delivered one or more digital or cloud or data or AI transformation program successfully with tangible business outcomes
• Should have led a team of architects as part of large programs and provided guidance, coaching and mentoring to ensure tech quality of the program is met.
• Should be able to work as part of a cross-cultural global teams.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Preferred Qualifications:
• Should have led a service line with P&L accountability in consulting or technology outsourcing firms earlier.
• Preferred to have completed industry standard certifications in cloud, data, analytics and AI (AWS, GCP, Azure), Enterprise Architecture certifications like TOGAF etc.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.