Cloud Solutions Architect

About the role

ArcheSys is a technology consulting firm delivering innovative cloud, AI, DevSecOps, and digital modernization solutions to Federal, State, and Commercial customers. We are seeking an experienced Cloud Solutions Architect (AWS & AI) to lead the design and delivery of secure, scalable, and intelligent cloud solutions.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Qualifications

• Education & Experience: Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline (or equivalent professional experience). 5+ years of experience designing enterprise software and cloud solutions. 3+ years of hands-on AWS architecture experience. 2+ years designing or implementing Generative AI solutions.
• Technical Skills: Deep expertise with Amazon Web Services (AWS). Experience architecting AI solutions using OpenAI APIs and Amazon Bedrock. Experience designing Retrieval-Augmented Generation (RAG) architectures. Experience designing Agentic AI solutions and intelligent workflow automation. Strong understanding of cloud-native architectures, microservices, APIs, and distributed systems. Experience with Terraform and Infrastructure as Code. Experience with Docker and Kubernetes. Strong understanding of networking, identity management, security, and cloud governance. Experience with CI/CD pipelines and DevSecOps practices. Excellent architecture documentation and presentation skills.

Preferred Qualifications

• AWS Certified Solutions Architect – Professional (preferred).
• AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty.
• Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks.
• Experience with vector databases such as Pinecone, Amazon OpenSearch, pgvector, or Weaviate.
• Experience with Amazon ECS, EKS, Lambda, API Gateway, DynamoDB, Aurora, and S3.
• Familiarity with FinOps, observability platforms, and Site Reliability Engineering (SRE).
• Experience supporting U.S. Federal Government customers.
• Familiarity with FedRAMP, FISMA, NIST 800-53, Zero Trust Architecture, and CMS security requirements.

What We're Looking For

Strategic thinker with strong business and technical acumen. Passion for cloud modernization and AI innovation. Excellent leadership, mentoring, and communication skills. Ability to communicate complex technical concepts to executive and non-technical audiences. Strong customer engagement and consulting experience. Ability to lead multiple initiatives in a fast-paced Agile environment. Customer-first mindset with a commitment to delivering secure, scalable, and innovative solutions.

Eligibility to Work at ArcheSys

All work must be performed within the continental United States. Candidates must be legally authorized to work in the U.S. without sponsorship. Must be a U.S Citizen or Green Card Holder. Selected candidates may be required to complete background investigations and obtain government security authorization for certain projects.

What We Offer

• Competitive salary and comprehensive benefits package.
• Fully remote work environment.
• Opportunity to architect enterprise-scale cloud and AI solutions.
• Exposure to OpenAI, Amazon Bedrock, Agentic AI, and emerging AWS technologies.
• Continuous learning through AWS certifications, AI training, conferences, and professional development.
• Collaborative culture that encourages innovation, experimentation, and technical excellence.
• Opportunity to lead transformational Federal and Commercial cloud modernization initiatives.