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Agentic AI Solution Architect – AWS, GenAI
futureproof consultingTechnical delivery lead in architecting, leading, and delivering enterprise-scale Agentic AI platforms for global clients. Working remotely within the EU with a focus on technical leadership and cloud architecture.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the architecture and implementation of scalable cloud-native solutions, particularly in Agentic AI platforms, while ensuring compliance with enterprise requirements. Proficient in mentoring technical teams and driving architectural decisions across multiple engineering teams.
Highest-signal resume keywords
Cloud ArchitectureAgentic AI SolutionsAWS ArchitectureEnterprise Project LeadershipBackend Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringSolution ArchitectureGenAI ExperienceBackend Engineering with PythonFastAPIFlask
Soft Skills
MentoringLeadership
Tools & Technologies
AWS LambdaCognitoAPI GatewayDynamoDBS3ECS/FargateIAMLangGraphCrewAIGoogle ADK
Industry Keywords
RBACAuthenticationAuthorizationSSOEncryptionAudit LoggingComplianceCI/CDInfrastructure as CodeContainerization
Tech Stack
Tools & technologiesAWSCloudDockerDynamoDBFlaskPython
About the role
Key responsibilities & impact- Lead technical architecture for large-scale Agentic AI platforms
- Define scalable cloud-native solution architecture
- Own architecture decisions across multiple engineering teams
- Review designs, code quality and implementation approaches
- Mentor architects and senior engineers
- Lead implementation of enterprise Agentic AI solutions
- Design production-grade architectures on AWS
- Ensure solutions meet enterprise requirements for: RBAC, Authentication, Authorization, SSO, Encryption, Audit logging, Compliance
- Work closely with DevOps teams around: CI/CD, Infrastructure as Code, Docker, Containerization, Cloud deployments
Requirements
What you’ll need- 10+ years software engineering
- 4+ years Solution or Cloud Architecture
- Enterprise project leadership
- Leading technical teams
- Strong Knowledge Of Cloud Architecture
- GenAI Experience designing production solutions using LLMs.
- Hands-on experience with at least one: LangGraph, CrewAI, Google ADK, Microsoft Agent Framework, AWS AgentCore
- Strong experience with: Lambda, Cognito, API Gateway, DynamoDB, S3, ECS/Fargate, IAM
- Backend Engineering Experience with Python, FastAPI, Flask (acceptable)
Benefits
Comp & perks- Freelance / B2B Contract
- Full-time (40 hours per week)
- Start: Approximately within 1 month
- Remote within the EU