Seeking to fill in a AI cloud engineer for immediate remote contract opportunity with my direct client in Cincinnati OH.
If interested , share your word document resume, work authorization, expected hourly pay rate, current location, availability for remote work , skill stack and LinkedIn.
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TECHNICAL 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
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
LOCATION :remote
JOB SUMMARY
AI Cyber Defense Engineer
JOB DESCRIPTION
Job Summary
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.
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:
8+ years of IT experience with 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.
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.
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