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Posted Apr 16, 2026
Key Responsibilities:
Act as a technical solution architect in client-facing presales engagements, including discovery calls, solution walkthroughs, and proposal/SOW support. - Translate business problems into AI-driven solution architectures, clearly articulating value, scope, assumptions, and implementation approach. - Support account growth activities by identifying AI-led transformation opportunities and reusable solution patterns. - Collaborate with sales and leadership teams on AI solution positioning, estimates, and technical risk assessments. - Lead end-to-end solution architecture for AI applications and Agentic AI systems. - Partner with AI application delivery teams to define high-level and low-level architecture, integration patterns, data flow, orchestration, and scalability considerations. - Review and guide implementation to ensure adherence to architecture, security, performance, and design best practices. - Design and review Agentic AI systems, including multi-agent workflows, tool-using agents, planners, and autonomous/semi-autonomous agents. - Apply Agentic AI design patterns and evaluate and recommend the latest AI models, frameworks, and orchestration tools based on use case fit, cost, performance, and governance. - Contribute to AI R&D initiatives, PoCs, and technology exploration efforts. - Design and build AI solution accelerators, reference architectures, and reusable components. - Support internal capability building, including mentoring teams on AI and Agentic AI architecture, creating technical guidelines, best practices, and architectural playbooks. Required Skills & Expertise:
Strong understanding of modern AI/LLM ecosystems and hands-on experience with AI application development. - Experience with Agent/Orchestration frameworks and awareness of AI governance, security, guardrails, and responsible AI considerations. - Strong hands-on experience with ASP.NET / ASP.NET Core, C#, SQL Server / Azure SQL, and familiarity with web application architecture, APIs, authentication, and integration patterns. - Solid understanding of software design principles, enterprise and cloud architecture patterns, and experience designing scalable, secure, and maintainable systems. - Proven ability to communicate complex technical concepts to non-technical stakeholders and experience in client calls, workshops, and solution presentations. Experience & Qualifications:
810 years of overall software engineering experience with a significant portion in solution/technical architecture roles. - Demonstrated experience delivering multiple production-grade projects as an architect. - Prior experience working in technical presales or client-facing solution roles is mandatory. - Exposure to AI-first or digital transformation programs is highly desirable. Key Responsibilities:
Act as a technical solution architect in client-facing presales engagements, including discovery calls, solution walkthroughs, and proposal/SOW support. - Translate business problems into AI-driven solution architectures, clearly articulating value, scope, assumptions, and implementation approach. - Support account growth activities by identifying AI-led transformation opportunities and reusable solution patterns. - Collaborate with sales and leadership teams on AI solution positioning, estimates, and technical risk assessments. - Lead end-to-end solution architecture for AI applications and Agentic AI systems. - Partner with AI application delivery teams to define high-level and low-level architecture, integration patterns, data flow, orchestration, and scalability considerations. - Review and guide implementation to ensure adherence to architecture, security, performance, and design best practices. - Design and review Agentic AI systems, including
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