AWS Solutions Architect (AI focus) at ECS Tech Inc

Memphis, Tennessee, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Solutions Architect, Cloud Solutions, AI/ML, NLP, Deep Learning, Infrastructure as Code, Automation, DevOps, Scripting, Performance Optimization, Security, Collaboration, Monitoring, Troubleshooting, Cloud Governance, Data Science

Industry

IT Services and IT Consulting

Description

ECS is seeking an AWS Solutions Architect (AI focus) to work in our Memphis, TN office. ECS is seeking a highly skilled and motivated AWS Solutions Architect (AI focus) to support our USPS client. The candidate will enhance enterprise services and solutions for USPS, as part of an integrated evaluation, integration, strategy, design, implementation, and operational maintenance program. The candidate designs, implements, and maintains advanced cloud solutions leveraging AWS infrastructure. The role requires a comprehensive understanding of the technical and business requirements of the customer, and the ability to map them to the right solutions to build a robust architecture. The candidate will work closely with cross-functional teams including development, support, and regulatory oversight to ensure the correctness and alignment of the system with our objectives. This role bridges traditional applications with modern AI-driven data workflows, ensuring our systems are scalable, secure, and ready for intelligent automation. As this role will involve supporting rapidly evolving AI/ML projects and use cases, the candidate must have experience in any of the following areas: NLP, data provenance, LLMs/RAG, or deep learning. Responsibilities: * Solution Design: AWS Cloud Architects are responsible for designing scalable, cost-effective, and efficient solutions while taking care of compliance and best practices. * Collaboration: working closely with stakeholders and product teams to gather technical and non-technical requirements and translate them into well-architected solutions. * Implementation: Implement solutions using AWS offerings such as EC2, S3, Lambda, etc. Configure and deploy solutions using automated solutions such as AWS Cloud Formation and Terraform. * Security and Compliance: Ensure that the architecture and solutions are compliant with AWS best practices and mitigate any security vulnerabilities that might occur. * Performance Optimization: Focus on optimizing performance, scalability, and cost-efficiency. * Monitoring and Troubleshooting: Provide technical support on AWS-related issues, monitor solutions, and implement appropriate strategies to eliminate performance bottlenecks. * Cloud Governance: Utilize tools such as IAM, resource tagging, cost management, etc. to enforce AWS governance policies and implement monitoring and alerting solutions to address issues proactively. * Demonstrate a flexible attitude, ability to perform under pressure and ability to handle change easily while meeting deadlines. * Communicate with technical and non-technical audiences verbally and in writing to design efficient and effective applications. * Work independently and in a team environment, to give and receive direction. * Must be able to communicate effectively, work in a team environment and think analytically. * Collaborate with other departments to ensure high availability and performance. * Partner with data scientists, data architects, and federal stakeholders to deploy AI/ML models in production Qualifications * Master’s Degree in Computer Science, Engineering, Mathematics, Business Management or equivalent. * Must be US citizen or Green Card Holder per contract and must be able to obtain a Public Trust clearance * Twelve (12)+ years of experience in information systems, including seven (7) years of specialized AWS experience providing state-of-the-art solutions in information systems technology (or, if the particular area of expertise is new state-of-the-art technology, the specialized experience may be less than seven (7) years and more consistent with the age of the cloud technology). * AWS Solutions Architect, Professional certification. * Strong knowledge of cloud concepts, architecture patterns, and best practices. * Proven hands-on experience in designing, implementing, and maintaining AWS solutions. * Implement PaaS and IaaS solutions in AWS platform. * Knowledge of AWS offerings such as S3, EC2, RDS, RedShift, VPCs , Security Groups, etc. * Create and maintain a roadmap of enhancements according to decisions and direct and track achievement in collaboration with the customer. * Track and adjust the customer's use of AWS Cloud resource limits and quotas. * Experience and understanding of Infrastructure as Code, Automation, and Orchestration. * Experience with DevOps tools and technologies like Jenkins, GitLab, Ansible, etc. * Configuration and maintenance of common applications and protocols. * Strong scripting skills (Java, Python, Ruby, Perl, Bash, Powershell, etc.). * In-depth problem-solving skills. * Cloud governance knowledge. * Strong communication skills and the ability to articulate technical solutions clearly. * Experience supporting modern web development. * Ability to thrive in fast-paced and collaborative startup environment. * Detail oriented, self-motivated, and proactive * Experience with Performance engineering. * Experience with evaluating new technology and its insertion. * Familiar with modern software development principles and technologies. * Experience with Large Language Models, NLP, GenAI, and scaling of AI tools * Work comfortably in version control systems (e.g., Git) * Partner with data scientists, data architects, and federal stakeholders to deploy AI/ML models in production

Responsibilities

The AWS Solutions Architect will design, implement, and maintain advanced cloud solutions leveraging AWS infrastructure while collaborating with cross-functional teams. Responsibilities include ensuring compliance, optimizing performance, and supporting AI/ML projects.