AI Solutions & Architecture Lead

Job Description Architect and prototype scalable enterprise applications, incorporating modern frameworks and selectively integrating AI technologies such as LLMs and GenAI where appropriate to enhance functionality and automation. Design and maintain enterprise-grade reference architectures that support both conventional systems and emerging AI-enabled components. Lead solution design for complex, multi-domain use cases across customer experience, recruitment, IT support, finance, and operations ensuring AI is used where it adds measurable value. Drive client-facing solutioning engagements from discovery through to proposal, translating business requirements into technically sound and commercially viable solutions. Develop reusable architecture components, templates, and toolkits that streamline delivery and ensure consistency across projects. Define and scope solution architectures, working with Sales and Solutions teams to align on timelines, resource plans, and pricing models. Serve as a strategic technology advisor, presenting architecture alternatives, total cost of ownership (TCO), and ROI impacts to client stakeholders. Collaborate closely with cross-functional teams including Product, Engineering, Delivery, and Sales to ensure technical feasibility and delivery alignment. Contribute to internal innovation efforts, including proof-of-concepts (PoCs), architecture best practices, and team enablement on GenAI capabilities and market trends. Stay informed on industry trends and modern architecture patterns, including awareness of AI orchestration tools (e.g., LangChain, RAG frameworks) and cloud- native design approaches.Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related technical field. 8+ years of experience in software and solution architecture, with exposure to modern AI technologies and their application in enterprise contexts. Familiarity with AI/ML concepts and tooling (e.g., LLMs like OpenAI or Claude, RAG frameworks, LangChain, vector databases such as Pinecone or Weaviate) is a plus. Demonstrated experience designing and delivering enterprise solutions across domains such as customer experience, HR technology, IT service management, and digital operations. Strong full-stack development background with proficiency in languages and frameworks such as Python, JavaScript, React, and FastAPI. Deep understanding of SaaS platforms, cloud infrastructure (AWS, Azure, GCP), and DevOps practices including CI/CD pipelines. Experience in solution scoping, cost modeling, and proposal development for enterprise clients. Proven ability to lead technical delivery while engaging in consultative discussions with business and technology stakeholders. Strong communication skills, with the ability to articulate complex architectural concepts clearly to both technical and non-technical audiences. Availability to work in or align closely with US time zones (if not based in North America).