AI Solution Architect
Job Description
Summary of Responsibilities
- Built and owned products/platforms at scale
- Understanding of enterprise architecture practices and industry best practices such as TOGAF
- Hands-on experience building high-volume data and/or high-volume transaction/computation platforms and applications
- Hands-on experience working with cloud-native/AI-native products and platforms
- Deep understanding of the cloud stack, including agentic and generative AI stack and models; capable of designing, developing, and deploying agentic architecture designs
- Preferably experience in decision support, enterprise search, imaging, and document intelligence in healthcare
- Any significant experience in language models, fine-tuning, and K-Graphs is a big plus
- Good understanding of scalability, security, and performance
- Healthcare or life sciences background is a big plus; alternatively, experience in regulated industries such as insurance or FinTech
- Should have a master’s in computer science or AI
- Minimum 15 years of experience, with the last 5–7 years in platform engineering leadership roles (services experience is a plus)
Responsibility Details:
Solutions & Offerings
· Develop innovative solutions, accelerators, and frameworks to grow CitiusTech’s AI offerings with relevance to Healthcare and Lifesciences
· Collaborate closely with market leadership, client partners, and account managers to support pursuit of large deals and proactive growth in key accounts
· Proactively track the latest developments in AI to drive innovation, impact, and growth through emerging opportunities, and to build a partner ecosystem
· Collaborate with all practice leaders, solutions experts, and consulting leaders to define a roadmap that drives innovation-led growth
Market Innovation & Growth
· Co-create and enable focus GTM areas with market sales teams
· Drive and contribute to marketing initiatives (webinars, publications, research papers) and related channels to position CitiusTech as a thought leader in Healthcare innovation
· Strengthen sales enablement capabilities (responses to RFPs, proposals, etc.) through reusable assets, POCs, and frameworks
Technical & Delivery Excellence
· Develop specialist engagement delivery and technical leadership capabilities
· Drive technical excellence across all key client engagements
· Ensure customer success and excellence across all AI engagements, including the full range of scenarios and situations handled across the healthcare client base
