Cloud Solutions Architect

ArcheSys is a technology consulting firm delivering innovative cloud, AI, DevSecOps, and digital modernization solutions to Federal, State, and Commercial customers. We help organizations accelerate mission outcomes through cloud-native engineering, intelligent automation, secure software development, and AI-driven digital transformation.

We are seeking an experienced Cloud Solutions Architect (AWS & AI) to lead the design and delivery of secure, scalable, and intelligent cloud solutions. This role combines AWS cloud architecture, Generative AI, modern application development, and customer engagement to help organizations adopt innovative technologies while meeting security, compliance, and operational requirements.

This is a strategic, customer-facing role that partners with executive stakeholders, engineers, and delivery teams to design next-generation cloud and AI solutions from concept through production.

Location: This is a remote position.

Residency Requirement: Candidates MUST have lived in the U.S. for at least 3 of the past 5 years and be authorized to work in the U.S. (Citizen, Permanent Resident, or EAD).

Sponsorship: This position does not offer any type of sponsorship. Candidates must already be authorized to work in the U.S. (e.g., Citizen, Permanent Resident, or EAD).

Clearance: Public Trust Clearance (or ability to obtain)

Key Responsibilities

Cloud Solution Architecture

• Lead the architecture and design of cloud-native solutions on Amazon Web Services (AWS).
• Develop reference architectures, solution blueprints, technical roadmaps, and migration strategies.
• Design highly available, secure, resilient, and cost-optimized cloud environments.
• Guide cloud modernization initiatives including application modernization, containerization, and serverless architectures.
• Ensure architectures align with AWS Well-Architected Framework principles.

AI & Intelligent Solutions

• Design enterprise AI solutions leveraging OpenAI, Amazon Bedrock, and other Large Language Model (LLM) platforms.
• Architect Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and vector databases.
• Design Agentic AI solutions that automate workflows, decision-making, and business processes.
• Define AI governance, responsible AI practices, security controls, and model lifecycle strategies.
• Identify opportunities where AI can improve operational efficiency, customer experience, and mission outcomes.
• Leverage AI-assisted engineering tools responsibly while ensuring all architectural decisions, security reviews, and technical deliverables remain under human oversight and accountability.

Technical Leadership

• Provide technical leadership across multiple cloud and AI initiatives.
• Mentor engineers and development teams on cloud architecture, AI adoption, and AWS best practices.
• Review solution designs, code, infrastructure, and deployment strategies.
• Establish reusable architecture patterns, standards, and reference implementations.
• Drive technical innovation and evaluate emerging cloud and AI technologies.

Customer Engagement

• Partner with customers to understand business objectives and translate them into scalable technical solutions.
• Lead architecture workshops, technical discovery sessions, and solution reviews.
• Present architecture recommendations to executive leadership and technical stakeholders.
• Support proposal development, technical responses, demonstrations, and proof-of-concepts.
• Collaborate with program managers, product owners, and delivery teams to ensure successful implementation.

Cloud Engineering & DevSecOps

• Design Infrastructure as Code (IaC) solutions using Terraform.
• Architect container platforms using Docker and Kubernetes.
• Design secure CI/CD pipelines and DevSecOps practices.
• Define observability, monitoring, logging, resiliency, disaster recovery, and operational excellence strategies.
• Incorporate FinOps principles to optimize cloud cost, utilization, and governance.

Documentation & Governance

• Develop architecture diagrams, technical documentation, implementation guides, and operational playbooks.
• Ensure solutions align with enterprise architecture standards and security frameworks.
• Support architecture governance, design reviews, and technical decision records.

Required Qualifications

Education & Experience Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline (or equivalent profess