Lead Data Solutions Architect to oversee delivery of data platform with client implementation. Collaborating closely with engineers and product teams in a hybrid role based in London.
About the role
- Machine Learning Solution Architect designing and implementing AI/ML solutions for AGDATA's agricultural and health clients. Leading technical design and engineering teams to meet business objectives and enhance technology strategy.
Responsibilities
- Architect end-to-end AI/ML solutions including data pipelines, model deployment, cloud-native integrations, and enterprise-grade infrastructure.
- Lead technical design reviews, mentor engineering teams, and evaluate new AI/ML technologies (LLMs, RAG, AutoML).
- Drive POCs and convert prototypes into production-grade models using TensorFlow, PyTorch, LangChain, and modern cloud platforms (AWS, GCP, Azure).
- Develop APIs and microservices enabling seamless integration of AI capabilities into products.
- Implement strong MLOps practices—CI/CD for ML, automated retraining, model performance monitoring, and governance.
- Partner with data engineering to ensure robust pipelines, high-quality data, lineage, and feature engineering standards.
- Collaborate with product, engineering, consulting partners, and business stakeholders to align solutions with strategic goals.
- Advocate for responsible AI practices, explainability, ethical deployment, and build reusable frameworks/architectures.
Requirements
- 15+ years of development experience, with at least 7+ years in AI/ML and 4+ Years in ML solution architecture.
- Strong experience with enterprise architecture frameworks, design patterns, cloud‑native architectures, and modern integration approaches.
- Proven ability to design, build, and deploy systems using diverse model types (language, vision, traditional ML) and the supporting infrastructure.
- Skilled across multiple programming languages, major cloud platforms (AWS/GCP/Azure), and architectural modelling tools.
- Background in consulting or prior roles with cloud providers (AWS/GCP), or a senior ML engineer/solution architect who has grown into a broader architectural role.
Benefits
- Comprehensive medical coverage – up to INR 7.5 lakh for employee and dependents, including parents.
- OPD benefit – coverage of up to INR 15 thousand covering expenses across specialties.
- Paternity leaves up to 14 working days with the option to split leave.
- Flexible hybrid work policy
- Free snacks and top-class facilities in the office.
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