AI Software Engineer

Overview

Job Title: AI Software Engineer

Company: Strategic Data Systems

Location: Cincinnati, OH

Work Arrangement: On-site, Remote

Type: Full-time

Salary: $70 - $71/hr

Benefits: Medical, Dental, Vision, Life, Retirement, PTO

Strategic Data Systems (SDS) is a software consultancy firm specializing in strategy, technology, and business transformation. They empower development teams to address clients  critical business challenges using cutting-edge technologies.

Seeking a mid-level AI Cyber Defense Engineer (Contractor) to support the Cyber Threat Interdiction team. The contractor will collaborate with engineering and a cross-functional threat interdiction team, building secure, cost-efficient AI workflows and prototype solutions that advance the bank's cyber defense mission.

This role is well-suited for someone with hands-on AWS Bedrock experience, solid data engineering or data science foundations, and an interest in applying AI capabilities to cyber security use cases.

• Assist in designing, building, and testing AI experiments leveraging AWS Bedrock and external lab environments, including model selection, prompting strategies, and orchestration patterns.
• Develop AI and MCP-related code using secure practices to minimize risks related to model context sharing and tool invocation.
• Implement and maintain human-in-the-loop processes to ensure responsible oversight of AI and agent workflows.
• Support data preparation, pipeline construction, and cost-monitoring tasks to ensure experiments run within allocated usage budgets.
• Apply cyber security knowledge to help shape experiments that support threat detection, interdiction, and operational security goals.
• Document experiment configurations, testing outcomes, risks, and recommended next steps.
• Contribute to reusable templates, runbooks, and guardrails that help the team scale its AI experimentation safely.

• 2-5 years of experience in AI/ML engineering, data engineering, or software engineering roles.
• Hands-on experience working with AWS Bedrock (model provisioning, API integration, prompt configuration, model evaluation).
• Proficiency in Python, including interacting with AI/LLM APIs and building small-scale automation or orchestration components.
• Understanding of secure AI development practices, including safe prompt design and data-handling minimization.
• Experience implementing workflows that incorporate human-in-the-loop validation or approval steps.
• Exposure to cyber security concepts such as detection engineering, incident response, threat intelligence, or security operations.
• Experience working with AWS services such as Lambda, S3, Cloud Watch, Step Functions, or Dynamo
  
  DB.

• Experience with RAG patterns, vector databases, or embeddings.
• Familiarity with model safety evaluations or responsible AI frameworks.
• Prior work building prototypes or proof-of-concept AI tools.
• Understanding of secure coding principles and adversarial AI risks.

• Competitive base salary
• Medical, dental, and vision insurance coverage
• Optional life and disability insurance provided
• 401(k) with a company match and optional profit sharing
• Paid vacation time
• Paid Bench time
• Training allowance offering
• Referral bonuses