AI Software Engineer

For more than three decades, Strategic Data Systems (SDS) has been a software consultancy firm specializing in strategy, technology, and business transformation for Fortune 100 companies, mid-sized firms, and startups. At SDS, we empower our development teams to address our clients' critical business challenges by leveraging cutting edge technologies. If you seek a workplace where your contributions are truly appreciated, then SDS is the company for you.

Join us today to work alongside fellow development specialists and become a crucial part of our dynamic and cohesive community.

• Job Title:
  
  AI Software Engineer
• Location:
  
  REMOTE EST/CST
• Years of
  
  Experience:
  
  8-10
• Contract Type/Length: thru 2026, possible extension

• 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, Cloud Watch, Step Functions, or Dynamo
  
  DB)
• 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

• 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

We are seeking a mid‑level AI Cyber Defense Engineer (Contractor) to support our Cyber Threat Interdiction team with the development and execution of AI experiments using AWS Bedrock. The contractor will collaborate with engineering and a cross‑functional threat interdiction team with 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.

SDS, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

• 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
• You ll be eligible to earn referral bonuses!

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