AWS Cloud/AI Engineer

THIRD-PARTY VENDORS: Mindbank Consulting Group does not work with third-party recruiting vendors - ever. We do not accept vendor candidates as W-2 employees, C2C, 1099, referral placements, or any other arrangement. Inquiries are deleted.

Mindbank Consulting Group has an immediate need for an experienced AWS Cloud and AI Engineer to support a well-established organization that brings together technology, data, research, and analytics to solve complex challenges for government and commercial clients. This is a hybrid position located in Bethesda, Maryland; our client offers free onsite parking and is right by the Metro!

PLEASE NOTE THE FOLLOWING

Location: Bethesda, MD
Work Arrangement: Hybrid — 2 days onsite / 3 days from home (no exceptions)
Contract Length: 6 Months with the possibility of extension
Compensation: $140,000–$155,000, based on candidate experience level
Employment Type: Direct hire, W-2 only
Not open to C2C/C2H or third-party staffing agencies; do not contact me

You’ll work within a large, highly integrated ecosystem of applications and services, helping design and standardize cloud-based solutions while supporting application modernization and emerging generative AI capabilities.

AWS Cloud and AI Engineer Responsibilities

• Design, build, and standardize AWS implementations for a large ecosystem of applications being re-imagined on AWS.
• Support generative AI/RAG pipelines by collaborating with AI teams to integrate models and build scalable vector databases using AWS services such as Amazon Bedrock and OpenSearch.
• Build applications within AWS using a hybrid approach of new and legacy components to best fit budget, scope, and timeline constraints.
• Establish AWS infrastructure using scripts, adhering to best practices and incorporating AWS-suggested templates for compliance with standards such as NIST 800-53 and HIPAA.
• Set up a functional model for seamless script promotion through CI/CD pipelines from development to test, UAT, and production.
• Design AWS infrastructure and resources using Amazon CloudFormation templates.
• Migrate and convert data from legacy applications to new target application environments.
• Use discovery tools to define and develop customer requirements and pricing models.
• Develop automation solutions using Python, LangChain, and Terraform.
• Use Docker and Kubernetes to manage scalable services and endpoints.
• Apply data modeling fundamentals to support application and data solutions.

AWS Cloud and AI Engineer Qualifications

Required Qualifications:

• Bachelor’s degree in Computer Science or related field.
• 3–5 years of professional experience with a combination of AWS-related roles such as working as an AWS Developer and AWS Architect.
• Experience building applications within AWS using a hybrid approach of new and legacy components to best fit budget, scope, and timeline constraints.
• Hands-on experience developing or integrating generative AI applications, including RAG pipelines, LLM integration, vector search, and knowledge retrieval, preferably using AWS services such as Amazon Bedrock and OpenSearch.
• Experience establishing infrastructure using scripts and following cloud best practices and compliance requirements.
• Experience setting up CI/CD pipelines supporting promotion from development to test, UAT, and production.
• Experience migrating/converting data from legacy applications to a new target application environment.
• Experience using discovery tools to define and develop customer requirements and pricing models.
• Experience designing AWS infrastructure using Amazon CloudFormation templates.
• Proficiency in Python, LangChain, and Terraform scripting for automation tasks.
• Proficiency with Docker and Kubernetes for managing scalable services and endpoints.
• Solid understanding of data modeling fundamentals.

Preferred Qualifications:

• AWS certifications, such as AWS Developer and AWS Architect.
• Similar experience migrating on-premises applications to AWS.
• Familiarity with Agile/Scrum methodologies and working in cross-functional product teams.

Why Work for Mindbank?

Since 1986, Mindbank Consulting Group has helped hundreds of clients solve some of the most complex IT problems through the strategic implementation of solutions and resources. Our clients include U.S. Federal agencies, State & Local Governments, Tribal Organizations, Fortune 1000 companies, as well as Small Businesses.

Mindbank believes that our employees deserve the best care that our company can provide. We offer our employees a comprehensive and competitive benefits package including:

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Long-Term Disability
• Short-Term Disability
• 401(k) Plan
• Paid Time Off
• Training and Education Reimbursement
• Referral Bonuses

Mindbank Consulting Group is an Equal Opportunity Employer committed to a diverse workforce. We seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.