Senior Technical Lead - Senior Solutions Architect, AI/ML
October 10
Apache
AWS
Azure
Benchmarks
Cloud
Distributed Systems
Google Cloud Platform
GraphQL
Kafka
Microservices
PyTorch
Spark
Tensorflow
Description
• We are looking for a Senior Technical Lead / Senior Solutions Architect to design, develop, and scale innovative AI/ML-driven solutions. • You will be responsible for architecting highly scalable, low-latency distributed systems optimized for AI/ML workloads. • As a key technical leader, you will solve complex challenges, influence next-generation AI/ML infrastructures, and guide cross-functional teams to deliver state-of-the-art solutions for fast-growing startups and enterprise companies. • Be at the forefront of shaping next-generation AI/ML infrastructures, driving solutions for high-impact products across diverse industries. • You’ll have the opportunity to influence key architectural decisions and enable real-world applications that scale globally, ensuring innovation and efficiency at every step.
Requirements
• Lead the execution of large-scale AI/ML projects, ensuring alignment with business objectives. • Architect and design scalable, low-latency backend architectures, focusing on AI/ML model serving, real-time data processing, and integration with cloud infrastructure. • Oversee deployment of AI/ML models and infrastructure, ensuring high-performance, reliability, and scalability in production environments. • Drive decisions for cloud platforms (AWS, GCP, or Azure), auto-scaling, serverless architectures, and resource optimization. • Influence and guide the architectural direction of the organization, ensuring future-proof, AI/ML-ready systems and solutions. • Define benchmarks and optimize performance across AI/ML workloads. • Lead technical troubleshooting, performance tuning, and architecture optimizations to ensure scalable and efficient deployment of AI/ML systems. • Mentor and provide technical guidance to engineers across multiple teams, fostering a collaborative and innovative engineering culture. • Communicate project progress, risks, and technical decisions effectively to stakeholders, ensuring transparency and alignment with business goals. • Ensure engineering best practices are followed, including CI/CD, TDD, version control, and test automation. • 10+ years in software engineering or architecture, including 5+ years leading cross-functional teams in AI/ML or distributed systems projects. • Proven experience designing and managing large-scale backend architectures and distributed environments, with expertise in microservices, event-driven systems, and RESTful/GraphQL API development for AI/ML systems in production. • Extensive experience with AI/ML model deployment, performance tuning, model serving, and seamless integration with backend systems. • Deep understanding of cloud platforms (AWS, GCP, Azure), auto-scaling, serverless, and fault-tolerant architectures. • Strong experience in machine learning frameworks (TensorFlow, PyTorch) and data pipelines for real-time processing and high-concurrency environments. • Ability to troubleshoot and resolve complex technical challenges related to AI/ML workloads, scalability, and performance. • Excellent leadership and communication skills, with a proven ability to mentor engineers and work closely with cross-functional stakeholders. • Self-starter who excels at execution, balancing short-term technical delivery with long-term scalability and efficiency goals.
Benefits
• Best in class salary: We hire only the best, and we pay accordingly. • Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field. • Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.
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