Senior AI/Data Engineer, Data Platforms, Machine Learning, Applied AI
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Job Description
Senior AI/Data Engineer leading Azure data platforms, machine learning, and LLM applications. Delivering secure, governed solutions for federal agencies and other clients.
Responsibilities:
- Architect and lead delivery of enterprise data platforms and pipelines on Azure or equivalent cloud services
- Set standards for ETL design, schema enforcement, data validation, quality checks, and data lineage
- Review other engineers' work against established standards
- Design, build, and deploy machine learning and AI solutions, including large language model applications, retrieval-augmented generation, document understanding, and agentic workflows
- Implement evaluation and guardrails for AI solutions
- Build secure API endpoints and microservices for analytics and ML platforms
- Establish MLOps practices including 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
- Apply federal frameworks such as the NIST AI Risk Management Framework
- Translate mission and business needs into technical roadmaps, estimates, and client leadership briefings
- Work directly with client program leadership, architects, data scientists, and governance teams
- Advise on technical direction and represent Intertwine Associates and clients professionally
- Mentor engineers and data scientists
- Lead technical work across multidisciplinary teams
Requirements:
- 7+ years of experience building data pipelines, machine learning systems, or AI applications in production
- 2+ years leading technical work
- Expert Python, including Pandas and NumPy
- Advanced SQL
- Experience integrating relational and unstructured data sources
- Deep hands-on experience with Azure data services, or equivalent AWS or Google Cloud experience
- Production experience with 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
- U.S. citizenship or lawful permanent residency may be required per contract
- Ability to obtain a federal government Public Trust or security clearance where 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 AWS or Google Cloud certifications
- Experience with Databricks, Snowflake, Microsoft Fabric, or similar enterprise-scale data platforms
- 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 is an additional qualification
Benefits:
- Discretionary bonuses
- Signing or retention incentives
- Other variable compensation may be available
- Remote work
- Occasional travel
- Equal employment opportunity and inclusive workplace commitments
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