Machine Learning Solution Architect

Overview:

CACTUS is a remote-first organization and we embrace an accelerate from anywhere culture. You may be required to travel to our Mumbai office based on business requirements or for company/team events.

We are looking for an AI/ML Solution Architect to design and lead end-to-end AI-driven platforms at scale. In this role, you will define architecture, drive integration with enterprise systems, and ensure solutions are secure, scalable, and aligned with governance standards. If you enjoy solving complex system design challenges and shaping impactful AI solutions, this role offers strong ownership and strategic influence.

Responsibilities:

• Design and implement end-to-end solution architectures embedding AI/ML capabilities into applications.
• Define integration standards, APIs, and interoperability frameworks between AI systems and existing digital platforms.
• Oversee data flow architecture, security, privacy, and Responsible AI implementation across solutions.
• Architect and oversee integration of AI applications with current enterprise applications and digital platforms.
• Evaluate and recommend cloud-native and on-premises deployment models in alignment with company guidelines.
• Provide architectural leadership, ensuring scalability, maintainability, and compliance with technical standards.
• Collaborate with Data Science, MLOps, and Engineering teams for unified architecture governance.
• Conduct periodic architectural reviews and provide technical mentoring to development teams.

Requirements:

• B.Tech / M.Tech / MS / Ph.D. in Computer Science, Information Technology, Artificial Intelligence, or a related technical field.
• Certifications preferred: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or GCP Professional Cloud Architect.
• Research papers, case studies, or significant open source contributions(are preferred)
• Experience: Minimum 8–12 years of total professional experience.
• At least 4–5 years in architecting enterprise-level AI/ML solutions or large-scale data systems.
• Proven experience designing and deploying multi-component AI solutions for enterprise environments.

Technical Competencies:

• Architecture: Microservices and serverless patterns, event-driven and domain-driven design, high-level data & model lifecycle architecture
• Cloud: AWS (Bedrock, SageMaker, Lambda, API Gateway, S3), Azure (OpenAI Service, ML Studio, AKS), GCP (Vertex AI, BigQuery, Cloud Storage), multi-cloud integration & cost optimization
• Frameworks: TensorFlow, PyTorch, Hugging Face Transformers, LangChain (LLM orchestration), prompt-engineering and responsible AI practices
• Data & Storage: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), vector databases (Pinecone, Weaviate) for RAG & semantic search
• APIs & Integration: REST, GraphQL, WebSocket for real-time chat/voice
• Conversational AI & Voice: Speech-to-Text and Text-to-Speech APIs (AWS Transcribe/Polly, Azure Speech), RAG/chatbot pipeline design with vector stores & LLMs
• Security & Governance: IAM and RBAC across clouds, encryption in transit & at rest, data privacy & AI governance (GDPR, SOC2)

About Cactus:

Established in 2002, CACTUS (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.