Solutions Architect
2 weeks ago
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.
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