AWS Cloud & AI Platform Engineer II

BC Forward; Cincinnati (OH); On-site; USD 117,000 - 127,000; Full time

Job summary

BCforward is 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 role focuses on designing and maintaining AI enablement environments on AWS, leveraging Bedrock, SageMaker, Lambda, and API Gateway to deliver scalable, compliant AI solutions for enterprise use cases and stakeholders.

Qualifications

• 9+ years in cloud platform engineering or enterprise AI enablement.
• Experience enabling AI/ML and Generative AI on AWS.
• Hands-on AWS platform services, IaC, DevOps, and enablement frameworks.
• Proficiency in Python; SQL, APIs, automation scripting, and cloud integration.
• Security, governance, risk, and compliance for cloud/AI ops.
• Experience with Bedrock, SageMaker, Lex, Lambda, API Gateway, S3, IAM, CloudWatch.
• CI/CD with Terraform, CloudFormation, Jenkins, GitHub.
• Knowledge of LangChain, LlamaIndex, vector databases, and enterprise AI integration.
• Design reusable frameworks, architectures, guardrails, and governance.
• Strong collaboration with cross-functional teams.

Responsibilities

• Enable secure, governed, and scalable AI/GenAI platform capabilities.
• Design, implement, and maintain AI enablement environments and patterns.
• Architect and maintain AWS AI platform infra and shared services.
• Enable AWS Bedrock, SageMaker, S3, Lambda, API Gateway, IAM, CloudWatch.
• Collaborate with engineering, security, risk, data, and business teams.
• Evaluate emerging AI/ML technologies for enterprise use cases.
• Establish AI platform standards, guardrails, and governance.
• Integrate data sources and enterprise platforms for scalable delivery.
• Create documentation and governance artifacts for AI enablement.
• Lead technical exploration and evaluations to improve capabilities.
• Develop governance frameworks for model validation and monitoring.
• Work with agile squads to deliver enterprise AI capabilities.
• Deliver platform enablement for defined product areas with ownership.

Skills

AWS platform engineering

AI/ML enablement

Python

SQL

APIs

DevOps/IaC

CI/CD

Security & governance

Generative AI

Observability

LangChain / LlamaIndex

Model lifecycle

Education

Bachelor's degree in Computer Science, IT, Engineering, Data Science, Mathematics, or related

Advanced degree preferred

Tools

Terraform

CloudFormation

Jenkins

GitHub

Job description

Job Title: AWS Cloud & AI Platform Engineer IILocation: (Cincinnati, OH)Duration: Contract - 3 monthsPay Range: $85/hr - $92/hr (W2)Job ID: 409522

About BCforward 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.

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, IAM, CloudWatch, and related services.
• Proficiency with IaC and CI/CD using Terraform, CloudFormation, Jenkins, GitHub, or similar tools.
• Programming and scripting in Python with familiarity in SQL, APIs, automation scripting, and cloud integration patterns.
• Generative AI enablement including prompt engineering, RAG, model orchestration, evaluation frameworks, tool integration, and agentic AI patterns.
• Knowledge of orchestration 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 platforms.
• Familiarity with enterprise security, risk, governance, access management, and compliance for cloud and AI operations.
• Experience supporting AI/ML experimentation, POCs, and enablement activities within controlled enterprise environments.
• Working knowledge of ML concepts, model lifecycle management, observability, and AI evaluation methodologies for responsible AI adoption.

Preferred Skills

• Experience in financial services or other regulated industries.
• Background in platform modernization and developer experience enablement.

Why BCforward?

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

About Our Commitment

BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.