AI Engineer

How will this role impact First Command

The AI Engineer will design develop and deploy AI models and systems that support First Commands enterprise AI strategy. This role focuses on building scalable secure and ethically governed AI solutions that integrate with business platforms and digital products. The engineer will collaborate with data scientists product managers IT developers and data stewards to deliver high-impact AI capabilities.

What will the employee do in this role

AI Solution Development

• Design and implement AI models and algorithms tailored to business needs.
• Develop and maintain machine learning pipelines and infrastructure.
• Translate complex business problems into AI-driven solutions using GenAI LLMs and predictive analytics.

Model Lifecycle Management

• Train test and optimize models using frameworks like TensorFlow PyTorch and scikit-learn.
• Apply MLOps practices for model deployment monitoring and retraining.
• Ensure model observability reproducibility and compliance with internal controls.

Data Engineering & Integration

• Collaborate with data stewards to ensure high-quality governed datasets.
• Build data architectures and processing systems to support AI workloads.
• Integrate AI models into cloud-native environments (e.g. Azure OpenAI Azure AI Foundry).

Cross-Functional Collaboration

• Work with product managers to align AI features with customer needs.
• Partner with IT developers to ensure robust production-ready implementations.
• Support PoC initiatives by contributing to feasibility assessments and pilot deployments.

Governance & Risk

• Adhere to responsible AI frameworks including model cards risk assessments and ethical guidelines.
• Collaborate with legal compliance and risk teams to ensure regulatory alignment.
  
  

What skills & qualifications do you need

• Bachelors or Masters in Computer Science AI Data Science or related field.
• 3 years of experience in AI/ML engineering including production deployment.
• Proficiency in Python Java or C and experience with Docker MLflow and cloud platforms (Azure preferred).
• Experience with LLMs (e.g. GPT LLaMA) RAG pipelines and GenAI applications.
• Strong problem-solving and communication skills.

Preferred

• Experience in financial services or regulated industries.
• Familiarity with enterprise architecture frameworks (e.g. TOGAF BIZBOK).
• Experience with cloud-native AI platforms such as Azure OpenAI Azure AI Foundry Microsoft Copilot or similar.

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