Note: The job is a remote job and is open to candidates in USA. Intertwine Associates partners with government and other organizations to deliver operational efficiency, tailored frameworks, and technology-driven impact. The Senior AI / Data Engineer will lead the design and delivery of enterprise data platforms, machine learning systems, and AI applications, while setting engineering standards, advising client leadership, and mentoring multidisciplinary teams.
Responsibilities
- Architect and lead the delivery of enterprise data platforms and pipelines on Azure (Data Lake Storage, Azure SQL, Data Factory, Microsoft Fabric / Foundry) or equivalent cloud services
- Set standards for ETL design, schema enforcement, data validation, quality checks, and lineage, and review other engineers' work against them
- Design, build, and deploy machine learning and AI solutions, including applications built on large language models such as retrieval-augmented generation, document understanding, and agentic workflows, with evaluation and guardrails
- Build secure API endpoints and microservices that make data and models available to analytics and ML platforms
- Establish MLOps practices: experiment tracking, model registries, CI/CD, containers, monitoring, and cost and performance tuning
- Apply data and AI governance for compliance, reproducibility, auditability, and responsible AI, including federal frameworks such as the NIST AI Risk Management Framework
- Translate mission and business needs into technical roadmaps, estimates, and briefings for client leadership
- Mentor engineers and data scientists and lead technical work across multidisciplinary teams
Skills
- 7+ years of experience building data pipelines, machine learning systems, or AI applications in production, including 2+ years leading technical work
- Expert Python (including Pandas and NumPy) and advanced SQL, with experience integrating relational and unstructured sources
- Deep hands-on experience with Azure data services, or equivalent depth in AWS or Google Cloud
- Production experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn
- Experience with data validation, schema enforcement, quality assurance, and governance in regulated environments
- Experience designing APIs and microservices for analytics and ML platforms
- Excellent written and verbal communication, including briefing senior, non-technical audiences
- Bachelor's or advanced degree in Computer Science, Data Science, Statistics, Engineering, or a related field, or equivalent professional experience
- Experience building applications on large language models: retrieval-augmented generation, embeddings and vector databases, evaluation, and guardrails
- Microsoft certifications such as Azure Data Engineer, Azure AI Engineer, Fabric Data Engineer, or Azure Solutions Architect, or equivalent AWS or Google Cloud certifications
- Experience with Databricks, Snowflake, Microsoft Fabric, or similar modern data platforms at enterprise scale
- Familiarity with FedRAMP, FISMA, and federal data security requirements
- Experience supporting a federal agency, or health, scientific, or research data
- An active federal Public Trust or security clearance
Benefits
- This is a remote position with occasional travel.
- This position may be eligible for discretionary bonuses, signing or retention incentives, or other variable compensation, as stated in the applicable written offer or plan documents.
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