AI Software Engineer

Job Description

AI Software Engineer

Company: Strategic Data Systems

Location: Cincinnati, OH

• On-site, Remote

Salary: $70 - $71/hr

Type: Full-time

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

Posted: 6 hours ago

Job Description

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.

Job Title:

AI Software Engineer

Location:

REMOTE EST/CST

Years Of Experience:

8-10

Contract Type/Length:

thru 2026, possible extension

Top Skills:

Must Have

• 2-5 years of experience in AI/ML engineering, data engineering, or software engineering roles
• AWS Bedrock (model provisioning, API integration, prompt configuration, model evaluation)
• AWS (Lambda, S3, CloudWatch, Step Functions, or DynamoDB)
• 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
• Python (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

Nice To Have

• 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.

What You'll Do:

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.

Key Responsibilities:

• 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.

Required Skills:

• 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, CloudWatch, Step Functions, or DynamoDB.

Nice‑to‑Have Skills:

• 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.

Benefits:

• 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