[Hiring] AI / Data Engineer @Intertwine Associates

Role Description

Work in a dynamic, fast-paced environment as an AI / Data Engineer supporting federal agencies and other clients. Design, build, and operate the data platforms, machine learning models, and AI applications that help clients turn their data into decisions, from the first pipeline to production systems used every day.

• Collaborate with client program managers, data scientists, analysts, architects, and governance teams.
• Bring practical engineering judgment to missions across health, science, security, and public service.
• Build production-grade data pipelines that ingest, transform, and validate structured and unstructured data, with schema enforcement, data quality checks, and lineage.
• Develop, evaluate, and deploy machine learning and AI solutions, including applications built on large language models such as retrieval-augmented generation, document understanding, and agentic workflows.
• Package models and data as secure APIs and services that other systems can rely on.
• Implement logging, monitoring, testing, and performance tuning to keep systems reliable.
• Work in cloud environments (Microsoft Azure, AWS, or Google Cloud) and apply security, privacy, and responsible AI practices suited to regulated and government settings.
• Strong client or customer engagement is required; interface directly with client stakeholders.
• Represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment at every touchpoint.
• This is a remote position with occasional travel. Assignments are matched to client needs and to each candidate's expertise and eligibility.

Qualifications

• Bachelor's degree in computer science, data science, statistics, engineering, or a related field, or equivalent professional experience.
• 3+ years of experience building data pipelines, machine learning models, or AI applications that run in production.
• Proficiency in Python and its data libraries (for example pandas and NumPy) and strong SQL skills.
• Hands-on experience with at least one major cloud platform (Microsoft Azure, AWS, or Google Cloud).
• Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
• Experience with data validation, testing, and quality assurance.
• Experience building APIs or services that expose data or models to other applications.
• Excellent written and verbal communication skills, including explaining technical work to non-technical audiences.
• Ability to work independently and collaboratively as part of a team, and to prioritize work.
• U.S. citizenship or lawful permanent residency may be required per contract.
• Ability to obtain a federal government Public Trust or security clearance where the assignment requires one.

Requirements

• Experience building applications on large language models: retrieval-augmented generation, embeddings and vector databases, evaluation, and guardrails.
• MLOps experience: experiment tracking, model registries, CI/CD, containers, and orchestration (for example MLflow, Docker, Kubernetes, Airflow).
• Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Data Factory, or AWS Glue.
• Cloud or data certifications (for example Microsoft Azure Data Engineer or AI Engineer, AWS Machine Learning, Google Professional Data Engineer).
• Familiarity with federal security and AI governance frameworks (for example FedRAMP, FISMA, NIST AI Risk Management Framework).
• Experience with health, scientific, or research data, or with supporting a federal agency.
• An active federal Public Trust or security clearance.

Benefits

• Competitive compensation package.
• Anticipated base salary range for this position is $90,000-$220,000 per year.
• Actual base salary will be determined based on lawful, job-related factors, including education, experience, specialized expertise, credentials, geographic location, scope of responsibilities, internal equity, client and contract requirements, and funding availability.
• This position may be eligible for discretionary bonuses, signing or retention incentives, or other variable compensation.
• Bonuses and other incentives are separate from base salary and may be modified or discontinued.