Senior Data Engineer, AIML Engineer (Agentic)

Role: Senior Data Engineer AI/ML Engineer (Agentic)

Location: Remote

Duration: 6 Months

Scope of Work

• Build agentic capabilities to improve operational efficiency in how third-party data is ingested and consumed by internal stakeholders
• Manage data egress from Data 360 to destination systems including Salesforces main CRM as directed by stakeholders

Required Skills & Qualifications

• Strong experience in data engineering ETL (preferably Informatica) and data architecture
• Experience working with Salesforce platforms and data models
• Hands-on experience with Airflow and MuleSoft
• Strong SQL skills with Snowflake and other relational databases
• Experience writing complex Python modules for custom ETL workflows
• Expertise in building batch and real-time data pipelines
• Experience with dbt for data transformation and modeling
• Familiarity with AWS/GCP and distributed/event-driven architectures

• Strong understanding of data modeling data warehousing and big data processing
• Experience with data quality monitoring and pipeline orchestration frameworks
• Strong Python experience for AI application development
• Experience working with LLM APIs (OpenAI Anthropic Gemini) and prompt engineering beyond basic demos
• Experience with agentic frameworks: LangChain LangGraph CrewAI AutoGen or similar
• Familiarity with vector databases (Pinecone Chroma Milvus) and RAG pipelines
• Systems thinking: ability to decompose complex goals into sub-tasks and manage agentic behavior

Preferred Skills

• Experience with 3 step workflow automation (e.g. autonomous research DevOps automation IT troubleshooting)
• Proficiency in Model Context Protocol (MCP) integrations
• Experience with multi-agent systems and multi-modal agents (processing images documents)
• Experience working on Salesforce Flows and Apex