Our client is a large U.S. financial institution headquartered in Cincinnati, Ohio, operating over one thousand branches across multiple states. The organization is a Fortune 500 company and one of the largest banks in the United States, with a long history formed by the merger of predecessor banks in the early 20th century. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80.00 to $90.00/hr. w2
Design, build, and test AI experiments that leverage AWS Bedrock and external lab environments, including model selection, prompting strategies, and orchestration patterns. Develop AI and MCP-related code using secure practices that 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 to keep experiments within allocated usage budgets. Apply cyber security knowledge to shape experiments that support threat detection, interdiction, and operational security goals. Document experiment configurations, testing outcomes, risks, and recommended next steps. Contribute reusable templates, runbooks, and guardrails to scale AI experimentation safely.
2–5 years of experience in AI/ML engineering, data engineering, or software engineering roles. Hands-on experience with AWS Bedrock, including model provisioning, API integration, prompt configuration, and 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 include 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 with AWS services such as Lambda, S3, CloudWatch, Step Functions, or DynamoDB. Experience with RAG patterns, vector databases, or embeddings (preferred). Familiarity with model safety evaluations or responsible AI frameworks (preferred). Prior work building prototypes or proof-of-concept AI tools (preferred). Understanding of secure coding principles and adversarial AI risks (preferred).
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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