Sr Solution Architect

Date:  27 Sep 2024
Location:  Plano
State:  TX
Country:  US
Company:  LTTS

 

Senior Solution Architect (AI/ML)

Job Overview:

We are seeking a highly skilled and experienced Senior Solution Architect with a focus on building AI/ML based solutions. The ideal candidate will play a critical role in designing and implementing AI-driven solutions across our omnichannel platforms to eliminate / reduce human interaction. This role requires a conceptual understanding of AI technologies, with the goal of personalizing user experiences.

 

Key Responsibilities:

 

  • Lead the design of AI-based solutions for personalized customer experiences across omnichannel platforms (web, mobile, chatbots, voice, etc).
  • Ensure alignment of AI solutions with enterprise architecture and industry best practices, including compliance with healthcare regulations.
  • Prepare conceptual Design / Arch systems that leverage machine learning, natural language processing (NLP)  and GenAI to enhance customer interactions, including virtual assistants and recommendation engines.
  • Stay updated on the latest advancements in AI, machine learning, and healthcare technologies by reviewing whitepapers, research papers, and industry reports.
  • Evaluate new AI technologies and trends, proposing innovations that align with business needs and competitive market demands.
  • Engage with business stakeholders, including product owners and department heads, to translate business requirements into AI-enabled solutions.
  • Participate in JAD session with product and help them realize art of possible using AI technologies.
  • Present AI strategies and architectures to stakeholders, demonstrating the value and impact on business outcomes.
  • Partner with data scientists, software engineers, and UX teams to architect end-to-end AI systems.
  • Develop and maintain comprehensive architecture documentation, including AI model lifecycles, data flow diagrams, and integration plans.

 

Required Qualifications:

  • Bachelor’s or master's degree in computer science, Engineering, or a related field.
  • 8+ years of experience in solution architecture with a focus on AI and machine learning.
  • Understanding of AI technologies, including machine learning, deep learning, NLP, and predictive analytics.
  • Understanding of AI limitation including Governance, Bias etc.
  • Experience in reviewing and analyzing technical whitepapers and research papers to inform AI strategy.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical stakeholders.