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About the role
As an experienced AI Solutions Architect, you will be responsible for leading the design, architecture, and enterprise adoption of AI-powered workflow automation solutions across the organization. Your role will involve working closely with business leaders, operational teams, IT, data teams, and external partners to identify high-value automation opportunities and architect intelligent AI-driven solutions that improve efficiency, decision-making, and operational scalability. Key Responsibilities: - Lead the end-to-end architecture, design, and implementation of enterprise AI automation platforms, intelligent workflows, and AI agent ecosystem. - Design and govern multi-agent architectures where AI agents collaborate across systems, business functions, and data sources to execute complex operational workflows. - Analyze enterprise business processes and define scalable AI-driven automation strategies that reduce manual effort, eliminate inefficiencies, and improve operational performance. - Define architectural standards for prompts, agent behaviors, orchestration logic, integrations, human approval flows, escalation paths, observability, and governance control. - Work closely with executive leadership, business stakeholders, operational teams, IT, and data teams to align AI initiatives with business priorities and transformation goals. - Provide architectural guidance and technical leadership for complex AI implementations, solution reviews, troubleshooting, and enterprise scalability challenges. - Establish best practices for AI governance, security, privacy, access control, auditability, compliance, and responsible AI adoption across the organization. - Guide engineering teams across front-end, back-end, API, cloud, data, and integration layers to ensure delivery of scalable and maintainable AI solutions. - Define monitoring frameworks, evaluation standards, performance metrics, and optimization strategies for deployed AI systems and workflows. - Develop enterprise standards, architectural documentation, implementation frameworks, operational procedures, and reusable design patterns for AI automation initiatives. Qualifications Required: - 10+ years of experience in software engineering, enterprise architecture, automation, or AI solution delivery roles. - Proven experience designing and deploying enterprise-scale AI, automation, or workflow orchestration solutions. - Strong understanding of large language models (LLMs), AI agents, prompt engineering, orchestration frameworks, and AI-powered business workflows. - Experience architecting integrations across APIs, enterprise systems, cloud platforms, databases, and third-party services. - Deep understanding of enterprise application architecture, system design, scalability, authentication, and secure integration patterns. - Strong experience with workflow automation platforms, AI tooling ecosystems, and orchestration technologies. - Excellent stakeholder management and communication skills, with the ability to explain complex technical concepts to non-technical audiences. - Demonstrated ability to lead cross-functional initiatives and drive enterprise technology adoption. - Strong analytical thinking, problem-solving, and strategic decision-making capabilities. Working Hours: 1.30pm - 10.30 pm IST (Note: Any additional details of the company were not provided in the job description) As an experienced AI Solutions Architect, you will be responsible for leading the design, architecture, and enterprise adoption of AI-powered workflow automation solutions across the organization. Your role will involve working closely with business leaders, operational teams, IT, data teams, and external partners to identify high-value automation opportunities and architect intelligent AI-driven solutions that improve efficiency, decision-making, and operational scalability. Key Responsibilities: - Lead the end-to-end architecture, design, and implementation of enterprise AI automation platforms, intelligent workflows, and AI agent ecosystem. - Design and govern multi-agent architectures where AI agents collaborate across systems, business functions, and data sources to execute complex operational workflows. - Analyze enterprise business processes and define scalable AI-driven automation strategies that reduce manual effort, eliminate inefficiencies, and improve operational performance. - Define architectural standards for prompts, agent behaviors, orchestration logic, integrations, human approval flows, escalation paths, observability, and governance control. - Work closely with executive leadership, business stakeholders, operational teams, IT, and data teams to align AI initiatives with business priorities and transformation goals. - Provide architectural guidance and technical leadership for complex AI implementations, solution reviews, troubleshooting, and enterprise scalability challenges. - Establish best practices for AI governance, security, privacy, access contro
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