Solutions Architect

Overview At CACTUS AI Solutions, we are building and deploying large-scale AI systems that power products and enterprise solutions across research, publishing, healthcare, BFSI, government, education, and enterprise transformation. Our ecosystem powers platforms such as Paperpal, R Discovery, and Mind the Graph, and multiple enterprise AI solutions used by millions of users globally. Note: Candidates must be based in Delhi NCR. Responsibilities Design and drive scalable, secure, and enterprise-grade architectures for AI/ML platforms, cloud-native applications, and distributed systems. Evaluate and recommend appropriate AI/ML models, LLMs, frameworks, and solution approaches, including Generative AI, RAG, semantic search, conversational AI, and intelligent automation. Define architecture standards, deployment strategies, integration patterns, and reusable solution frameworks across cloud, hybrid, and on-premises environments. Architect integrations with enterprise platforms using APIs, microservices, and event-driven architectures while ensuring performance, reliability, and scalability. Collaborate with engineering, AI/ML, DevOps, and MLOps teams to guide implementation, deployment, monitoring, and operational excellence. Drive architecture governance by embedding security, privacy, compliance, auditability, access controls, and Responsible AI practices into solution designs. Partner with business and technical stakeholders to translate requirements into scalable technical solutions and support technical proposals, architecture reviews, effort estimation, and solution documentation. Assess and leverage internal assets, open-source technologies, and third-party platforms to accelerate solution delivery and innovation. Qualifications and Prerequisites 5-8 years of experience in Solution Architecture, Enterprise Architecture, AI/ML Engineering, or large-scale platform engineering, with proven expertise in designing enterprise-grade AI-powered and cloud-native solutions. Strong understanding of modern AI ecosystems, including LLMs, RAG architectures, semantic retrieval, vector databases, orchestration frameworks, and AI deployment patterns. Experience architecting distributed systems, enterprise integrations, APIs, microservices, and cloud infrastructure across AWS, Azure, or GCP. Proven ability to work with cross-functional teams and enterprise stakeholders to deliver complex, high-scale technology solutions. Strong analytical, problem-solving, communication, and technical leadership skills, with the ability to operate effectively in fast-paced and ambiguous environments. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related field. Cloud architecture certifications (AWS Solutions Architect, GCP Professional Cloud Architect, or equivalent) are preferred. Experience contributing to enterprise AI platforms, open-source initiatives, large-scale AI deployments, or government/enterprise transformation programs is a plus. Remote Work Expectations Taking ownership of your work with minimal supervision, showing strong ability to organize, prioritize and deliver results independently. Documenting work that brings everyone on the same page. Maturity to choose between synchronous and asynchronous collaboration. Effectively collaborating with colleagues across different time zones by setting dedicated hours for collaboration and keeping team members updated through your MS Teams status. Equal Opportunity Our hiring practices reflect our commitment to providing equal opportunities and creating an environment where everyone can thrive, develop, and succeed. We celebrate the uniqueness of our team members and prohibit discrimination of any kind, based on race, color, religion, gender identity, sexual orientation, age, marital status, disability, or any other protected characteristic. Overview At CACTUS AI Solutions, we are building and deploying large-scale AI systems that power products and enterprise solutions across research, publishing, healthcare, BFSI, government, education, and enterprise transformation. Our ecosystem powers platforms such as Paperpal, R Discovery, and Mind the Graph, and multiple enterprise AI solutions used by millions of users globally. Note: Candidates must be based in Delhi NCR. Responsibilities Design and drive scalable, secure, and enterprise-grade architectures for AI/ML platforms, cloud-native applications, and distributed systems. Evaluate and recommend appropriate AI/ML models, LLMs, frameworks, and solution approaches, including Generative AI, RAG, semantic search, conversational AI, and intelligent automation. Define architecture standards, deployment strategies, integration patterns, and reusable solution frameworks across cloud, hybrid, and on-premises environments. Architect integrations with enterprise platforms using APIs, microservices, and event-driven architectures while ensuring performance, reliability, and