Senior AI Solutions Architect

Senior AI Solutions Architect / AI Transformation ArchitectSenior AI leader for solution engineering, client advisory, pursuit leadership, and enterprise-scale AI deliveryRole OverviewWe are looking for a senior AI and enterprise technology leader who can help shape, sell, architect, and deliver practical AI-led transformation for enterprise clients. This role goes beyond traditional architecture. The ideal candidate will combine deep technical expertise in AI, GenAI, Agentic AI, enterprise architecture, modern engineering, and cloud-native platforms with strong client-facing solutioning, executive communication, and pursuit leadership capabilities.The successful candidate will work closely with business stakeholders, sales teams, delivery leaders, architects, and engineering teams to convert complex business challenges into scalable solution strategies, executable roadmaps, and production-ready technology frameworks. This person should be comfortable engaging with senior client leaders, building confidence in proposed solutions, supporting strategic pursuits, and partnering with delivery teams to ensure successful execution.Key ResponsibilitiesLead AI-led solutioning and architecture for enterprise transformation opportunities, from early-stage client conversations through proposal, design, and delivery handoff.Engage with business and technology executives to understand strategic objectives, pain points, operating models, and transformation priorities.Translate complex business problems into scalable AI, GenAI, Agentic AI, data, integration, and cloud-native solution architectures.Support sales and pursuit teams by shaping solution strategy, differentiating value propositions, estimating solution approaches, and building executive-level confidence.Define architecture roadmaps, reference architectures, reusable frameworks, and implementation patterns for production-grade AI solutions.Partner with delivery, engineering, product, and platform teams to ensure proposed solutions are feasible, secure, scalable, cost-effective, and executable.Provide technical leadership across AI-accelerated SDLC, distributed systems, integration platforms, modernization programs, and enterprise architecture initiatives.Promote responsible AI, security, governance, observability, resiliency, and operational readiness as core elements of every solution.Mentor architects, solution engineers, and delivery teams on AI architecture, solution design, and client-facing technical leadership.Required Experience and Skills12+ years of experience in technology consulting, enterprise architecture, solution architecture, AI engineering, platform engineering, or digital transformation.Strong hands-on and architectural understanding of AI, GenAI, Agentic AI, machine learning platforms, data platforms, model integration, prompt orchestration, RAG patterns, evaluation, and AI operations.Experience designing enterprise-grade solutions across cloud-native architectures, distributed systems, APIs, integration platforms, microservices, DevOps, security, and modern engineering practices.Proven ability to lead client conversations, support sales pursuits, shape proposals, and present complex technology solutions to executive and senior stakeholder audiences.Ability to bridge strategy and execution by converting business needs into roadmaps, architecture decisions, delivery plans, and measurable outcomes.Strong collaboration skills across sales, business consulting, delivery, engineering, and client teams.Excellent communication, storytelling, facilitation, and stakeholder management skills.Experience in BFSI, Travel, Retail, or large-scale enterprise transformation programs is a strong plus.Ideal Candidate ProfileThe ideal candidate is a senior AI solution leader who can operate confidently across client advisory, sales solutioning, architecture, and delivery execution. They should be able to build trusted relationships with business and technology leaders, identify high-value AI opportunities, shape practical transformation strategies, and guide teams toward implementation. This person should be passionate about building real-world AI solutions beyond proofs of concept and should bring the credibility to influence both executive decision-makers and engineering teams.