Job at a glance
Job Title: AWS Cloud & AI Platform Engineer IILocation: (Cincinnati, OH)Duration: Contract - 3 monthsPay Range: $85/hr - $92/hr (W2)Job ID: 409522About BCforwardBCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider.
With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.Job DescriptionWe are seeking an AWS Cloud & AI Platform Engineer II to enable and advance enterprise AI and machine learning capabilities within a secure, governed, and scalable environment across the Bank.
The ideal candidate will have strong experience in AWS cloud platform engineering, AI/ML enablement, and Generative AI services, and a proven ability to architect, implement, and maintain AI enablement platforms that support rapid experimentation, POCs, model development, and enterprise adoption.Responsibilities:Enable, architect, and support secure, governed, and scalable AI/GenAI platform capabilities to 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 AI platform infrastructure and shared services using IaC and automation to ensure scalability, resiliency, and efficiency.Enable and support AWS services such as Amazon Bedrock, SageMaker, S3, Lambda, API Gateway, IAM, and CloudWatch within secure and governed environments.Partner with engineering, infrastructure, security, risk, data, and business teams to onboard and enable AI solutions aligned to governance and standards.Evaluate, enable, and operationalize emerging AI/ML and Generative AI technologies 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.Enable and integrate 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 and technology evaluations to improve platform capabilities, developer experience, scalability, and operational efficiency.Develop evaluation and governance frameworks for model validation, responsible AI usage, monitoring, observability, and output quality assessment.Collaborate with agile squads, platform engineering, and product stakeholders to deliver capabilities aligned with enterprise AI strategy and priorities.Deliver platform enablement and technical capabilities for defined product areas while operating with ownership and operational accountability.Required Skills & Qualifications:Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Mathematics, or a related discipline.
Advanced degree preferred.9+ years in cloud platform engineering, AI/ML enablement, platform architecture, or enterprise solution delivery in secure and governed environments.Experience enabling and operationalizing AI/ML and Generative AI platforms and services in AWS.Hands-on AWS platform services, infrastructure automation, DevOps/IaC, and platform enablement frameworks supporting scalable AI and data solutions.Collaboration experience with engineering, infrastructure, security, risk, and business teams aligned to governance and operational standards.Technical Skills:Strong understanding of AWS platform engineering, including provisioning, configuration, automation, monitoring, and operational support.Experience with Amazon Bedrock, SageMaker, Lex, Lambda, API Gateway, S3