Sr AI Engineer I

The Senior AI Engineer I will be part of Solution Management Team within enterprise CRM solutions team, part of enterprise technology solutions contributing to the domain level technical architecture and solution

• Architect and deliver scalable, distributed data solutions leveraging cloud-native processing platforms like GCP.
• Engineer fault-tolerant, high-throughput systems; define strong data modeling, partitioning, and schema evolution strategies; and embed observability, lineage, and data quality across workflows.
• Responsible to architect and solution in and around CRM solutions like Salesforce, leveraging out of the box agentic solutions such as AgentForce, Einstein.
• Perform architectural reviews, performance benchmarking, capacity planning, and developer experience initiatives through reusable SDKs, APIs, and libraries.
• Collaborate with Cloud, Security, and Platform teams to ensure enterprise alignment, and mentor engineers to drive technical excellence and best practices.
• Communicate technical strategy effectively and contribute hands-on to critical platform components.
• Proficiency in Python, Java with exposure to AI/ML frameworks (PyTorch, TensorFlow).
• Prototype lightweight agentic workflows using frameworks such as LangChain or AutoGen and integrate agents with enterprise data and APIs.
• Support compliance, documentation, and knowledge sharing to promote responsible and effective AI adoption.

• Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or Data Engineering, ; advanced degree preferred
• 7+ years of experience in data engineering, distributed systems and AI/ML.
• Proven success in architecting and delivering large-scale, high-performance, cloud-native data systems on GCP or equivalent environments.
• Expert in Python and Java with deep experience in Spark, Beam, Flink, and GCP Dataflow for scalable data processing.
• Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark)
• Knowledge of natural language processing techniques, models such as BERT, Transformer models, and their real-world applications
• Proficient with CI/CD and automation tools such as GitHub Enterprise, Jenkins, or Cloud Build.
• Strong knowledge of cost-performance trade-offs and designing multi-tenant architectures optimized for efficiency and reliability.
• Preferred experience working with a CRM solution like Salesforce and ability to define multiple data integration patterns for the same.