Senior AI/Data Engineer, Data Platforms, Machine Learning, Applied AI

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and spearhead the implementation of enterprise data platforms and pipelines using Azure or similar cloud services.

• Establish standards for ETL design, schema enforcement, data validation, quality checks, and data lineage.

• Evaluate the work of fellow engineers against the defined standards.

• Create, develop, and implement machine learning and AI solutions, which encompass large language model applications, retrieval-augmented generation, document understanding, and agentic workflows.

• Set up evaluation frameworks and guardrails for AI solutions.

• Develop secure API endpoints and microservices tailored for analytics and ML platforms.

• Implement MLOps practices, covering experiment tracking, model registries, CI/CD, containerization, monitoring, as well as cost and performance optimization.

• Enforce data and AI governance for compliance, reproducibility, auditability, and responsible AI practices.

• Utilize federal frameworks such as the NIST AI Risk Management Framework.

• Convert mission and business requirements into technical roadmaps, estimates, and briefings for client leadership.

• Collaborate closely with client program leaders, architects, data scientists, and governance teams.

• Provide guidance on technical direction and represent Intertwine Associates and clients with professionalism.

• Mentor engineers and data scientists as part of team development.

• Lead technical initiatives across multidisciplinary teams.

⛳️ Requirements

• Over 7 years of experience in constructing data pipelines, machine learning systems, or AI applications in production environments.

• More than 2 years of experience in leading technical projects.

• Proficient in Python, with expertise in libraries such as Pandas and NumPy.

• Advanced knowledge of SQL.

• Experience in integrating relational and unstructured data sources.

• Extensive hands-on experience with Azure data services, or equivalent experience with AWS or Google Cloud.

• Practical experience with PyTorch, TensorFlow, or scikit-learn in production settings.

• Familiarity with data validation, schema enforcement, quality assurance, and governance in regulated contexts.

• Experience in designing APIs and microservices for analytics and ML platforms.

• Exceptional written and verbal communication skills, including the ability to brief senior, non-technical audiences.

• U.S. citizenship or lawful permanent residency may be necessary based on contract requirements.

• Capability to secure a federal government Public Trust or security clearance if required.

• Bachelor’s or advanced degree in Computer Science, Data Science, Statistics, Engineering, or a related field, or equivalent professional experience.

• Experience with large language model applications, retrieval-augmented generation, embeddings, vector databases, evaluation, and guardrails.

• Microsoft Azure certifications or equivalent certifications from AWS or Google Cloud.

• Experience with Databricks, Snowflake, Microsoft Fabric, or similar enterprise-scale data platforms.

• Knowledge of FedRAMP, FISMA, and federal data security requirements.

• Experience supporting a federal agency, or working with health, scientific, or research data.

• An active federal Public Trust or security clearance is an added advantage.

🏝️ Benefits

• Discretionary bonuses.

• Signing or retention incentives.

• Other variable compensation opportunities may be available.

• Remote work options.

• Occasional travel required.

• Commitment to equal employment opportunities and an inclusive workplace.