Altarum

LLM Engineer

• Design and operate cloud data platform components, including lakehouse storage, compute, SQL and ELT engines, and reusable transformation workflows using Databricks or comparable platforms
• Develop production Python and SQL code, versioned reusable packages, APIs, and configuration-driven frameworks with automated tests and documentation
• Own CI/CD for data pipelines, AI applications, and supporting services, including environment configuration, automated validation, deployment, release verification, and rollback
• Implement infrastructure as code and secure deployment patterns in AWS, AWS GovCloud, Azure, Azure Government, or other approved environments
• Own ingestion, transformation, and normalization pipelines for structured, semi-structured, and unstructured healthcare and public health data, including batch and streaming workloads
• Build reusable connectors, data contracts, and curated datasets using Python, SQL, Spark or PySpark, Delta Lake, dbt, or comparable technologies
• Integrate Medicaid and Medicare claims and encounters, FHIR R4, US Core, HL7 v2, social determinants of health, geospatial data, surveys, and qualitative sources as projects require
• Translate analytics, reporting, evaluation, and data science requirements into tested data models and dependable datasets with documented lineage
• Define and implement data quality rules, validation, lineage, metadata, and monitoring
• Diagnose and resolve production failures, data quality issues, and performance bottlenecks; implement root-cause fixes and maintain operational runbooks
• Establish reliability and freshness targets; own monitoring, incident response, and recovery for assigned services
• Optimize compute, storage, partitioning, and pipeline execution; track cost and performance and implement guardrails
• Own AI application delivery from requirements and solution design through implementation, evaluation, deployment, and production support
• Build retrieval-augmented generation and document-intelligence applications, including ingestion, chunking, embeddings, vector search, and retrieval
• Use MLflow or comparable tools to manage generative AI evaluation and tracing, evaluation datasets, custom scorers, and prompt/model versioning
• Develop LLM applications and agentic workflows using Python, LangChain, LlamaIndex, or comparable frameworks
• Deploy and operate AI applications and model endpoints using Databricks Model Serving or comparable services, with governed data access, monitoring, and CI/CD
• Build reusable AI services and automation for healthcare reporting, document extraction, and knowledge retrieval
• Apply privacy by design, encryption, least-privilege access, secrets management, and secure networking
• Implement technical controls and documentation for HIPAA, 42 CFR Part 2, IRB and data-use agreement restrictions, and responsible AI practices informed by the NIST AI Risk Management Framework
• Document model behavior, evaluate fairness and explainability, and maintain model cards and governance artifacts
• Serve as technical lead for defined projects or workstreams; coordinate contributors, review implementation choices, and resolve blockers
• Mentor colleagues through pairing, code reviews, and technical guidance; lead workshops and create tutorials, runbooks, and examples
• Explain technical concepts and tradeoffs to varied audiences and contribute technical materials for proposals and client engagements

Data Engineer – Generative AI, Healthcare Data

Pricing Analyst

• Lead end-to-end pricing for proposals, from solicitation review and strategy through final cost volume submission.
• Build and maintain audit-ready Excel models covering labor, indirects, escalation, fee, and subcontractors.
• Apply and interpret FAR Part 31, 2 CFR 200, and agency guidance to ensure compliant, responsive pricing.
• Partner with program, business development, contracts, HR, and finance teams to translate staffing and level of effort into budgets.
• Validate rates and assumptions, and integrate subcontractor proposals and required flowdowns.
• Support cost narratives and final proposal reviews, including cost realism, technical alignment, and mathematical accuracy checks.
• Strengthen pricing templates, tools, and processes.
• Support audits, negotiations, and post-award analysis.
• Contribute to FP&A activities, including budget-to-actual variance analysis and pricing data for financial planning.
• Manage multiple deadlines and collaborate across teams in a deadline-driven environment.

Data Engineer – Generative AI, Healthcare Data

Senior Pricing Analyst – Government Contracts