AWS AI Platform Engineer

Description:
On-site in Cincinnati, OH

Our client seeks an AWS AI Platform Engineer to enable and advance enterprise AI and machine learning capabilities within a secure, governed, and scalable environment. The role will architect, implement, and maintain AI enablement platforms and services that support rapid experimentation, proof of concepts, model development, and enterprise adoption of Generative AI and AI/ML solutions. The position will enable AI services, maintain cloud and platform environments, integrate structured and unstructured data, and drive innovation through experimentation and technical evaluations. The engineer will design scalable AI architectures, support platform modernization, create reusable enablement capabilities, and ensure alignment with enterprise technology strategy, resiliency, and regulatory requirements.

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 $88.00/hr. w2

Responsibilities:

• Enable, architect, and support secure, governed, and scalable AI and GenAI platform capabilities that accelerate enterprise AI adoption.
• Design, implement, and maintain AI enablement environments, services, frameworks, and reusable patterns for experimentation, POCs, and production readiness.
• Architect, provision, and maintain AWS cloud-based AI platform infrastructure and shared services using IaC, automation pipelines, and cloud engineering best practices.
• Enable and support AWS AI/ML and cloud-native services such as Amazon Bedrock, SageMaker, S3, Lambda, API Gateway, and related capabilities within secure and governed environments.
• Partner with engineering, infrastructure, security, risk, data, and business stakeholders to onboard and enable AI solutions aligned with governance and standards.
• Evaluate, enable, and operationalize emerging AI/ML and Generative AI technologies, services, and platforms for enterprise use cases.
• Establish and maintain AI platform standards, reference architectures, guardrails, and best practices for secure and responsible AI development and deployment.
• Support enablement and integration of structured and unstructured data sources, cloud-native AI services, APIs, and enterprise platforms for scalable delivery.
• Create and maintain technical documentation, architectural guidance, operational procedures, and governance artifacts for AI enablement and platform services.
• Lead technical exploration, innovation initiatives, and technology evaluations to improve platform capabilities, developer experience, scalability, and efficiency.
• Develop evaluation and governance frameworks to support model validation, responsible AI usage, monitoring, observability, and output quality.
• Collaborate with agile squads, platform engineering teams, and product stakeholders to deliver enabling capabilities aligned with enterprise AI strategy.
• Deliver platform enablement and technical capabilities for defined product areas or strategic initiatives with ownership and operational accountability.

Experience Requirements:

• 9+ years in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise technology within secure and governed environments.
• Experience enabling, supporting, or operationalizing AI/ML and GenAI platforms and cloud-native services in AWS.
• Hands-on experience with AWS services, infrastructure automation, DevOps/IaC, and platform enablement frameworks supporting scalable AI and data solutions.
• Strong understanding of AWS platform engineering including provisioning, configuration, automation, monitoring, and operations of cloud-native environments.
• Experience with Amazon Bedrock, SageMaker, Lex, Lambda, API Gateway, S3, IAM, CloudWatch, and related capabilities.
• Proficiency with IaC and CI/CD using tools such as Terraform, Jenkins, CloudFormation, GitHub, or similar.
• Proficiency in Python and familiarity with SQL, APIs, automation scripting, and cloud integration patterns.
• Experience enabling Generative AI capabilities including prompt engineering, RAG, model orchestration, evaluation frameworks, tool integration, and agentic patterns.
• Knowledge of AI orchestration and frameworks such as LangChain, LlamaIndex, MCPs, vector databases, and enterprise AI integration architectures.
• Experience designing reusable frameworks, reference architectures, guardrails, and operational standards for secure and governed AI platform enablement.
• Familiarity with enterprise security, risk, governance, access management, and compliance for cloud and AI operations.
• Experience supporting AI/ML experimentation, POCs, and platform enablement in controlled enterprise environments.
• Working knowledge of ML concepts, model lifecycle management, observability, and AI evaluation methodologies.

Education Requirements:

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related technical discipline. Advanced degree preferred but not required.

Recruitment Transparency Notice



Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

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.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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