
Visionary Software Architect
3 days ago
Be part of a pioneering team that drives the adoption of cutting-edge AI systems worldwide. You will play a pivotal role in designing and developing innovative solutions that deliver business outcomes for our clients.
We are at the forefront of the AI revolution, with significant market presence in both the US and India. Our company is committed to delivering digital experiences across mobile, web, cloud, and AI platforms.
The Systems Architect position involves leading the end-to-end architecture of intelligent systems, encompassing data ingestion, transformation, storage, modeling, inferencing, and reporting. You will be responsible for architecting GenAI-powered applications using LLMs, vector databases, and RAG pipelines, as well as integrating with enterprise knowledge graphs and document repositories.
Key Responsibilities:
- Design and own the architecture of intelligent systems, ensuring scalability, high performance, and alignment with enterprise goals.
- Architect GenAI-powered applications using LLMs, vector databases, and RAG pipelines, integrating with enterprise knowledge graphs and document repositories.
- Lead the design and deployment of agentic AI systems that can plan, reason, and interact autonomously within business workflows.
- Collaborate with cross-functional teams to deliver scalable and maintainable solutions, defining patterns and best practices for traditional ML and GenAI projects.
- Ensure seamless integration of ML/AI systems via RESTful APIs with frontend interfaces and backend systems.
- Architect multi-cloud or hybrid cloud AI solutions, leveraging services from AWS, Azure, or GCP for scalable compute, storage, orchestration, and deployment.
- Provide technical oversight for data pipelines, data lakes, and ETL frameworks, ensuring secure and governed data movement.
- Conduct architecture reviews, mentor engineering teams, and drive design standards for AI/ML, data engineering, and software integration.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10+ years of experience in software architecture, including at least 4 years in AI/ML-focused roles.
- Required Skills:
- Expertise in machine learning (regression, classification, clustering), deep learning (CNNs, RNNs, transformers), and NLP.
- Experience with Generative AI frameworks and services.
- Strong hands-on Python skills, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
- Proficiency in RESTful API development and integration with frontend components.
- Deep experience in ETL/ELT processes using tools like Apache Airflow, Azure Data Factory, or AWS Glue.
- Strong knowledge of cloud-native architecture and AI/ML services on either one of the cloud platforms AWS, Azure, or GCP.
- Experience with vector databases and semantic search patterns.
- Experience in deploying and managing ML models with MLOps frameworks.
- Understanding of microservices architecture, API gateways, and container orchestration.
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