Technical Architect

• The Gen AI Architect will be responsible for designing and implementing advanced AI solutions that drive innovation and efficiency within the organization. This role requires a deep understanding of AI technologies and the ability to translate business requirements into technical solutions.

Key Responsibilities

• Working closely with the customer’s team to understand their perspective and propose solutions or approaches for the PoCs.
• Making design decisions and ensuring the Solution/PoCs aligns with client needs.
• Providing walkthroughs of the proposed Solution/PoCs design and obtain customer approval.
• Documenting the understanding and conducting walkthroughs with the client team.
• Creating scalable architectures and designs for GenAI projects
• Proven track record as architect in designing and implementing AI solutions in a production environment.
• Lead the design and development of GenAI Solutions, Chatbots and applications.
• Collaborate with stakeholders to identify opportunities for AI-driven improvements.
• Ensure the scalability and reliability of AI solutions.
• Stay updated with the latest advancements in AI and machine learning.
• Mentor and guide junior team members in AI best practices.

Soft skills/other skills

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.
• Leadership skills and experience managing cross-functional teams.

Expected Outcome

• Enhanced Efficiency: Streamline business processes and automate tasks to increase productivity.
• Innovation: Drive the adoption of cutting-edge AI technologies to maintain a competitive edge.
• Improved Customer Experience: Develop AI solutions that personalize and enhance customer interactions.
• Data-Driven Insights: Extract valuable insights from data to inform strategic decisions.
• Scalable AI Solutions: Ensure AI models are robust, scalable, and reliable.
• Mentorship: Build a strong AI competency within the team through knowledge sharing and mentorship.

Secondary Skills to be planned

• Proficiency in Copilot Studio.
• Strong understanding of deep learning algorithms and architectures.
• Production grade AI solutions
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with natural language processing (NLP) techniques.
• Understanding of AI ethics and bias mitigation strategies.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes