The AI Architect will design, implement, and oversee large-scale AI systems, ensuring they align with business goals and ethical standards. Responsibilities include architectural design, integration of AI models, and collaboration with data engineering. Requires over 10 years of experience in AI/ML implementations for large enterprises.
What You’ll Do
As an AI Architect at Suzega, you will be responsible for designing and implementing enterprise-scale AI solutions that align with our mission of making AI work better with people and society. You'll lead the technical vision for AI implementations, architect scalable ML systems, and ensure our solutions are built with heart, wisdom, and responsibility. The ideal candidate should possess deep expertise in AI/ML technologies, proven experience designing production-grade AI systems, and a passion for ethical and human-centric AI deployment.
- Design and architect end-to-end AI systems, ensuring scalability, reliability, and alignment with strategic business objectives
- Establish and enforce architectural standards, best practices, and design patterns for AI/ML solutions across the organization
- Define and oversee the integration of AI models, APIs, and data pipelines into enterprise-level applications, ensuring seamless interoperability
- Formulate AI architectural roadmaps, aligning technological advancements with business needs and driving innovation
- Design and optimize AI system architectures for optimal performance, security, and cost-effectiveness
- Define and guide the development of data architectures that support efficient and reliable AI/ML workflows, collaborating with data engineering teams
- Assess and mitigate architectural risks, ensuring compliance with relevant regulations, ethical guidelines, and security standards for AI systems
Requirements
What you’ll Bring
- 10+ years of applicable experience with building AI/ML solutions for large enterprises
- Hands-on experience in lead role architecting solutions at scale for cloud data platforms
- Hands-on experience architecting and building secure, scalable, and flexible enterprise data projects in Azure, AWS or GCP
- Strong governance and management experience is required
- Excellent verbal, written, and presentation communication skills
- Strong analytical and problem-solving skills
How to Apply:
- Outline your process for architecting AI systems, including the design methodologies, architectural patterns, and examples of how your designs have translated into impactful AI solutions
- Tell us why you are interested in joining Suzega
What Happens Next:
- We will review applications
- If shortlisted, you'll participate in two virtual interviews with our Trusted Interviewers
- You will participate in an architectural design round
- We will aim to complete our selection process within two weeks and notify you of our decision
Why This Matters:
At Suzega, we're not just building better AI—we're thinking about how AI can work better with people and society. Are you ready to help shape what AI can and should do? Do you want to use your technical skills to make a real difference?
If so, we'd love to hear from you.
This is more than a job. It's a chance to shape the future.
Location: Work from anywhere in India
Benefits
Please review the Benefits and Perks section in our Team Member Handbook for comprehensive information
Similar Jobs
Information Technology • Database • Consulting
Design, build, and productionize multi-agent and conversational AI systems. Own architecture, model selection, RAG pipelines, evaluation/guardrails, and LLMOps. Lead technical standards, mentor teams, and translate agentic AI research into scalable, secure enterprise solutions across regulated domains.
Top Skills:
Agent Development Kit (Adk)AWSAzureCi/CdEmbedding-Based RetrievalGCPGecxGeminiGrokLangchainLanggraphLlamaindexMcp-Based Tool IntegrationMlops/LlmopsPrompt EngineeringPythonRagSemantic KernelVector Stores
Artificial Intelligence • HR Tech • Professional Services • Software
Lead design and evolution of cloud-native enterprise data and AI platforms on Azure. Architect lakehouse, data warehouse, and AI-ready assets for ML, generative AI, RAG, and agentic solutions. Define standards, governance, scalable ETL/ELT pipelines, vector search and LLM integrations; mentor teams and partner with stakeholders to translate business needs into secure, compliant, cost-optimized architectures.
Top Skills:
SparkAutogenAzure Data FactoryAzure Data LakeAzure Machine LearningCi/CdCrewaiData LakehouseData WarehousingDatabricksLangchainLanggraphLlmopsAzureMlflowMlopsPythonRagSQLSQL ServerVector Databases
Information Technology
Design and lead GenAI and agent-based AI solutions for large-scale modernization programs. Define prompt engineering, orchestration, validation, guardrails, and human-in-the-loop workflows. Apply AI to legacy systems (COBOL, HP NonStop, C++) for code comprehension, dependency mapping, documentation, and test generation. Collaborate with solution and platform architects, work in Agile sprint-based delivery, and guide distributed offshore/onshore teams.
Top Skills:
.NetAgentic AiAIAi OrchestrationAPIsAzureBatch ProcessingC#C++Ci/CdCloud SecurityCobolDevOpsEngineering AutomationGenaiHp NonstopHuman-In-The-LoopMainframePrompt Engineering
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
