Senior Architect - Artificial Intelligence/Machine Learning

Job Title : Senior Architect AI/ML

Location : Bengaluru

Experience : 10+ years

Mode : Full-time

Job Summary : We are looking for a seasoned AI/ML Solution Architect to lead cutting-edge data and AI solution initiatives. This role demands strong experience in architecting enterprise-grade AI/ML platforms, implementing GenAI technologies, and hands-on cloud-native data pipeline design.

Key Responsibilities :

- Lead end-to-end architecture design for scalable AI/ML solutions from ingestion to inference.

- Work closely with cross-functional teams to implement data and AI strategies aligned with business needs.

- Architect and deploy AI models using platforms like MLflow, Azure ML, SageMaker, and KubeFlow.

- Design and oversee cloud-based big data architectures (Azure/AWS/GCP).

- Provide guidance on Gen AI integration using tools like OpenAI APIs, Hugging Face, and LangChain.

- Support presales and solutioning by creating proposals, demos, and POCs.

- Ensure solutions adhere to best practices in data governance, security, and MLOps.

- Containerize applications using Kubernetes, Helm, and deploy across cloud-native platforms (AKS, EKS, GKE).

- Collaborate with engineering, delivery, and customer teams to ensure timely and quality outcomes.

Required Skills & Experience :

- 10+ years of experience in Data/AI/ML architecture and solution delivery.

- Strong hands-on with Hadoop ecosystem (preferably Cloudera Data Platform, HDFS, Hive, Spark).

- Deep understanding of data lakes, data pipelines, data warehouses (Snowflake, Azure Synapse, Redshift).

- Proven experience in MLOps lifecycle development, deployment, and monitoring.

- Experience with Kubernetes, CI/CD, and orchestration tools (Jenkins, GitHub Actions, Azure DevOps).

- Knowledge of Gen AI, LLMs, Prompt Engineering, and associated frameworks.

- Strong communication and client engagement skills.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, or related field.

- Certification in cloud platforms (Azure/AWS/GCP) or MLOps tools is a plus.