AI Engineer - SME

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth.

We are seeking an AI Engineer to:

• Build scalable, production-ready AI/ML/GenAI models, pipelines, and microservices.
• Develop training, evaluation, and inference pipelines in Python using PyTorch, TensorFlow, or scikit learn.
• Deploy and manage models with MLOps, CI/CD, containerization, and monitoring frameworks.
• Implement vector databases, embeddings, LLM applications, agentic AI, and tool calling workflows.
• Optimize models for accuracy, latency, cost, and scalability across distributed environments.
• Ensure AI governance, documentation, ethical compliance, and secure posture alignment.
• Provide technical mentorship and drive cross-team engineering standardization.

Responsibilities

• 10+ years of specialized AI/ML engineering experience.
• Advanced Python skills and strong understanding of algorithms, data structures, and distributed systems.
• Hands-on experience deploying production GenAI/LLM systems, embeddings, and vector databases.
• Proficiency with PyTorch, TensorFlow, scikit learn, and cloud platforms (AWS, Azure, or GCP).
• Practical experience with MLOps tools such as MLflow, Azure ML, or Vertex AI.
• Background in NLP, computer vision, or reinforcement learning.
• Experience working in agile engineering environments.

Unique Skills / Technical Requirements

• In-house custom developed application
• Advanced AI, GenAI & Multi-Model Engineering
  • Multi-model and multi-modality orchestration (reasoning, perception, memory, tool

    execution)

  • Temporal, spatial, geographic, quantitative, and computer vision AI implementation
  • Named Entity Recognition (NER), contextual entity extraction, and resolution
  • Multi-step retrieval and structured output generation
  • Complex data parsing and streamlined ingestion
  • Deep source citation and traceable analytic outputs
• Data Architecture & ETL
  • Vector, graph, and multi database orchestration
  • Automated ETL pipeline creation, scheduling, and optimization
  • Attribute Based Access Control (ABAC) at the data layer
  • Provenance and end to end data lineage tracking
  • Schema aligned ingestion and normalization of diverse structured and unstructured data
• Enterprise Infrastructure & CrossDomain Solutions
  • Air gapped, hybrid, and on premise operational environments
  • Container orchestration and distributed systems management (Kubernetes)
  • Locally hosted GPU servers and hyperconverged nodes
  • Multitenant CrossDomain Solutions (CDS)
• Application Development & Integration
  • UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
  • Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
  • Use of modern programming languages and frameworks

Required Qualifications

• Must possess an active Top Secret Clearance
• Must be willing and able to obtain a polygraph
• In-house custom developed application
• Advanced AI, GenAI & Multi-Model Engineering
  • Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
  • Temporal, spatial, geographic, quantitative, and computer vision AI implementation
  • Named Entity Recognition (NER), contextual entity extraction, and resolution
  • Multi-step retrieval and structured output generation
  • Complex data parsing and streamlined ingestion
  • Deep source citation and traceable analytic outputs
• Data Architecture & ETL
  • Vector, graph, and multi database orchestration
  • Automated ETL pipeline creation, scheduling, and optimization
  • Attribute Based Access Control (ABAC) at the data layer
  • Provenance and end to end data lineage tracking
  • Schema aligned ingestion and normalization of diverse structured and unstructured

    data

• Enterprise Infrastructure & CrossDomain Solutions
  • Air gapped, hybrid, and on premise operational environments
  • Container orchestration and distributed systems management (Kubernetes)
  • Locally hosted GPU servers and hyperconverged nodes
  • Multitenant CrossDomain Solutions (CDS)
• Application Development & Integration
  • UI, backend, and middleware engineering (TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, Kubernetes)
  • Integration of reasoning components, retrieval systems, databases, and AI / GenAI services
  • Use of modern programming languages and frameworks

Preferred Qualifications

• Experience in federal, defense, or highly regulated environments.
• Knowledge of ethical AI, governance frameworks, and secure development practices.
• Skills in large-scale optimization, GPU acceleration, or distributed training.
• Experience building APIs, microservices, and automated ML workflows.