AI Technical Architect

Role In Brief

• Build and curate a robust Product and Services portfolio.
• Cultivate a proficient and harmonious team that embodies the company culture.
• Foster and manage client relationships, expanding our client footprint.
• Drive business development initiatives to open new opportunities.
• Ensure seamless project execution, quality delivery, and adherence to timelines.
• Uphold budgetary guidelines for projects.
• Define the technical stack and technology roadmap in alignment with the company's
  

• Align team activities with company principles and vision.
• Represent the company as a brand ambassador in various forums.
• Continuously identify automation opportunities and AI use cases within the existing
  

Key Responsibilities

• Architect end-to-end AI-driven business applications using cloud-native AI services,
  

• Collaborate with clients and industry experts to identify and prioritize AI-driven
  

• Develop architecture blueprints for infrastructure, execution, data, technology, and
  

• Collaborate with client architects and technical leads to arrive at optimal solutionoptions.
• Lead and contribute to proof-of-concepts and prototypes showcasing AI and ML
  

• Provide technical leadership in delivering large-scale AI-driven solutions, ensuring
  

• Conduct architectural assessments, gap analyses, future state architecture creation,
  

• Participate in in-depth architectural discussions, building confidence and ensuring
  

• Integrate additional skills such as ML platforms/tools, analytics technologies, data
  

Qualifications

• Minimum of 10 years of hands-on experience in AI development and architecture.
• Strong background in cloud-native AI services and relevant programming languages.
• Proven track record in designing and implementing large-scale AI solutions with NLP,
  

• Familiarity with analytics technologies and data platforms.
• Comprehensive understanding of machine learning, deep learning techniques, and
  

• Extensive experience in delivering medium to large-scale solutions.
• Knowledge of infrastructure automation, cloud, hybrid and on-premise DevOps.
• Demonstrated experience in ensuring data security and compliance.
• Proficiency in UI/UX design and user experience principles.
• Previous consulting experience and knowledge of relevant tools such as Accenture
  

• Working knowledge of Internet of Things in Industry 4.0, smart cities, and
  

• Strong leadership, communication, and interpersonal skills.
  

Educational Qualification