AI Solutions Architect

Cactus Communications Pvt. Ltd.; Delhi; On-site; INR 600,000 - 800,000; Full time

Job summary

CACTUS AI Solutions seeks an experienced AI Solutions Architect to lead design, architecture, and strategy for enterprise AI initiatives. You will shape how AI platforms are deployed, governed, and scaled across government-facing and enterprise use cases, balancing advanced ML concepts with governance and security.

The role requires hands-on expertise in LLMs, RAG, vector databases, cloud-native patterns, and cross-functional collaboration with engineering, DevOps, and MLOps teams.

Qualifications

• 5–8 years of experience in Solution Architecture or enterprise-scale AI engineering.
• Deep understanding of LLMs, RAG, vector databases, and AI governance.
• Experience with cloud infrastructure across AWS, Azure, or GCP.
• Ability to translate requirements into scalable technical solutions.
• Strong communication and leadership skills with cross-functional teams.

Responsibilities

• Design scalable, secure AI/ML architectures for enterprise platforms.
• Evaluate AI models and solution approaches including Generative AI and RAG.
• Define standards, deployment strategies, and integration patterns.
• Architect integrations with APIs, microservices, and event-driven systems.
• Collaborate with engineering, DevOps, and MLOps teams for deployment and monitoring.
• Embed security, privacy, compliance, and Responsible AI in designs.
• Translate business requirements into scalable technical solutions and documentation.
• Leverage internal assets and open-source tools to accelerate delivery.

Skills

AI/ML Architecture

Cloud-native architectures

Enterprise integration

Leadership & collaboration

Security & governance

Education

Bachelor's or Master's degree in Computer Science/AI/IT

Tools

AWS

Azure

GCP

Job description

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.

We are looking for a highly experienced and hands-on AI Solutions Architect who can lead the design, architecture, and technical strategy for enterprise-scale AI initiatives. This role will play a critical part in shaping how AI solutions are designed, deployed, governed, and scaled across diverse enterprise and government-facing use cases. The ideal candidate is someone who combines strong architecture fundamentals with deep AI/ML understanding, enterprise integration experience, cloud expertise, and practical knowledge of modern AI ecosystems including LLMs, RAG systems, vector databases, orchestration frameworks, and AI governance practices.

Note - For this role, we are looking for Delhi NCR based candidates only.

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.

Application Process

Before applying, please ensure you meet the role requirements listed above and have legal authorization to work in the country where this role is advertised. Our selection process typically involves an initial screening by a recruiter, a technical assessment, and two to three interview rounds. For this role, we have two technical rounds and one HRBP round.

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.

Accelerating from Anywhere

As a remote-first organization, these are essential attributes we look for in all our candidates.

• 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.

About CACTUS

Established in 2002, Cactus Communications (cactusglobal.com) is a leading technology company that specializes in expert services and AI-driven products which improve how research gets funded, published, communicated, and discovered. Its flagship brand Editage offers a comprehensive suite of researcher solutions, including expert services and cutting-edge AI products like Mind the Graph, Paperpal, and R Discovery. With offices in Princeton, London, Singapore, Beijing, Shanghai, Seoul, Tokyo, and Mumbai and a global workforce of over 3,000 experts, CACTUS is a pioneer in workplace best practices and has been consistently recognized as a great place to work.