Solution & AI Architect

Position Name: Solution & AI Architect
Location:Bangalore, Pune, Chennai
Experience:10+years

About BinQle
BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.

Role Summary:
Lead the technical architecture of AI-native solutions for financial institutions, combining enterprise architecture and applied GenAI to address complex, high-value challenges. Responsible for designing solutions, target architectures, and roadmaps across discovery, new builds, and modernization.

What Youll Do:

• Lead solution and target architecture across AI-native and modernization engagements
• Run discovery by understanding and documenting complex enterprise system architectures, functions, data, and integrations
• Define improvement areas, new capabilities, target-state options, and phased roadmaps with trade-offs
• Design AI-augmented solutions (GenAI, RAG, agents) tailored to specific problems
• Model business/domain knowledge and align solutions to industry standards when relevant
• Own test strategy, quality, and non-functional concerns; address governance and regulatory requirements
• Lead SME and client-stakeholder sessions; guide and support the development team

What We re Looking For (Must-Haves):

• Proven solution or enterprise architecture experience in financial services
• Experience in solution design, new builds, and modernization, including target-state design, roadmaps, and trade-off analysis
• Working knowledge of GenAI, RAG, and agentic patterns to direct delivery
• Experience with on-prem and cloud architecture, including security and regulatory awareness for regulated financial institutions (DORA, FCA, EBA)
• Strong communication, facilitation, and documentation skills

Good to Have (Optional - only if mentioned):

• Experience with domain/knowledge modeling and relevant standards (FIBO, BIAN, ISO 20022, TOGAF)
• Depth in test strategy or quality engineering
• Experience with AI-assisted analysis, transformation, or delivery accelerators
• Awareness of semantic code-analysis or coding-agent tooling (e.g., Serena, LSP-/MCP-based)
• Experience in wealth management, core banking, or book-keeping domains

Qualifications:
As per requirement

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.