AI/ML Data Engineer
BigBear.ai2 years ago
Reston, VA, USAStaff+
Responsibilities
- Architect and evolve an enterprise AI data platform for vector search, semantic retrieval, RAG, and agentic workflows.
- Design distributed, cloud-native data systems for performance, scale, security, reliability, and cost efficiency.
- Implement controls for data quality, lineage, provenance, source attribution, prompt and context traceability, auditability, explainability, and AI-output evaluation.
- Partner with Data Science, ML Engineering, Software, Cybersecurity, and Enterprise Architecture teams to deliver production-grade capabilities.
- Lead architectural decisions, promote reuse, eliminate duplication, and own delivery from strategic requirements through operational deployment.
- Implement monitoring, observability, alerting, and operational excellence practices.
- Mentor engineers and improve engineering standards through design reviews, coding standards, and CI/CD discipline.
- Evaluate emerging vector databases, retrieval frameworks, and AI evaluation stacks and recommend adoption paths.
Requirements
- Active Top Secret/SCI clearance with polygraph is mandatory.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or Data Science, or equivalent experience.
- 20+ years of experience in software engineering, data engineering, distributed systems, cloud architecture, or AI/ML platform development.
- Proven delivery of enterprise-scale AI/ML, generative AI, or agentic systems.
- Experience architecting production cloud-native data platforms supporting AI workloads.
- Deep experience with ML data pipelines, vector databases, semantic search, and generative AI applications.
- Expertise in Python and SQL and strong software engineering practices.
- Deep experience with AWS, Azure, or GCP data and AI platforms.
- Strong understanding of distributed systems, cloud-native architecture, MLOps, and platform engineering.
- Hands-on experience with vector databases, embeddings, retrieval systems, and RAG.
- Experience with orchestration, infrastructure automation, observability, and CI/CD practices.
- Ability to operate in complex, security-constrained, governed enterprise environments and influence stakeholders.
- Preferred experience as a Principal Engineer, Lead Data Engineer, Solutions Architect, or Technical Lead.
- Preferred experience building or operating enterprise vector search, knowledge management, RAG, or LLM platforms.
- Preferred experience with large-scale distributed processing such as Spark, Flink, or Beam.
- Preferred experience in government, defense, intelligence, or highly regulated environments.
- Familiarity with AI governance, evaluation frameworks, explainability, and responsible AI.
Tech Stack
Categories
Data EngineeringML Engineering
About BigBear.ai
BigBear.ai develops AI-powered decision intelligence software, computer vision, and modeling/simulation tools for U.S. defense, intelligence, federal civilian, and critical-infrastructure markets. It sells software platforms and contract services, often deployed in secure government clouds, to support mission planning, logistics, and cybersecurity. Founded in 1988 and headquartered in McLean, Virginia, BigBear.ai is a public company listed on the NYSE under the ticker BBAI.