AGDATA, LP

Engineering Manager

• Drive planning and execution for scrum team, to deliver work assigned.
• Drive deadline driven customer work for new development as well as automation testing.
• Lead cross functional communications to deliver the work in multi-team dependency environment.
• Maintain knowledge of product architecture, connective dependencies, technical concerns such as rollout strategies, performance and scalability to ensure the right decisions are made.
• Develop your team; provide regular feedback to help them learn and grow.
• Foster a culture of engineering best practices, collaboration, and continuous improvement.
• Share the team vision and strategy to foster an understanding of the overall direction and the "why" behind decisions.

Software Development Manager

Solutions Engineer

• Architect end-to-end AI/ML solutions including data pipelines, model deployment, cloud-native integrations, and enterprise-grade infrastructure.
• Lead technical design reviews, mentor engineering teams, and evaluate new AI/ML technologies (LLMs, RAG, AutoML).
• Drive POCs and convert prototypes into production-grade models using TensorFlow, PyTorch, LangChain, and modern cloud platforms (AWS, GCP, Azure).
• Develop APIs and microservices enabling seamless integration of AI capabilities into products.
• Implement strong MLOps practices—CI/CD for ML, automated retraining, model performance monitoring, and governance.
• Partner with data engineering to ensure robust pipelines, high-quality data, lineage, and feature engineering standards.
• Collaborate with product, engineering, consulting partners, and business stakeholders to align solutions with strategic goals.
• Advocate for responsible AI practices, explainability, ethical deployment, and build reusable frameworks/architectures.

Software Development Manager

Machine Learning Solutions Architect