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Senior Software Architect – Agentic AI
Akamai TechnologiesSenior Software Architect leading architecture and technical strategy for agentic AI systems at Akamai. Innovating and maintaining AI solutions within complex enterprise environments.
ATS Keywords
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Hard Skills
software engineeringsystems architectureplatform engineeringlarge-scale distributed systemsenterprise software platformsAPIsmicroservicescloud-native architecturesPython developmentagentic AI architectures
Soft Skills
technical leadershipmentorshipcross-functional collaborationalignment with business goals
Tools & Technologies
orchestration frameworksintegration patternsretrieval systemsmodel evaluation
Certifications & Qualifications
Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering
Industry Keywords
AI agent orchestrationgovernanceproduction readinessdeterministic systemsLLM conceptsSLM concepts
Tech Stack
Tools & technologiesCloudDistributed SystemsMicroservicesPython
About the role
Key responsibilities & impact- Define the architectural vision, principles, and long-term strategy for enterprise-scale agentic AI platforms and capabilities
- Design scalable, secure, and governed architectures for AI agent orchestration, coordination, and execution across enterprise environments
- Establish architectural standards, reusable patterns, and reference architectures for agent platforms, workflows, and governance
- Define secure integration frameworks for AI agents interacting with enterprise systems, data, and applications
- Partner with cross-functional stakeholders to align agentic architecture with business goals and enterprise requirements
- Provide technical leadership and mentorship to ensure scalable and reusable agentic AI solutions
- Establish frameworks to assess agent performance, reliability, risk, and production readiness
Requirements
What you’ll need- Bachelor's degree in Computer Science, Software Engineering, or a related technical field
- 8+ years of experience in software engineering, systems architecture, platform engineering, or a related technical field
- Proven experience designing and implementing large-scale distributed systems, enterprise software platforms, APIs, microservices, integration patterns, and cloud-native architectures
- Hands-on experience with agentic AI architectures, orchestration frameworks, tool integration, retrieval systems, and model evaluation
- Proven experience in enterprise Python development, including testing, observability, dependency management, and production-grade practices
- Understanding of integrating deterministic systems with AI components, including reliability, governance, evaluation, and operational risk
- Basic familiarity with LLM/SLM concepts, including fine-tuning, inference, evaluation, and how models are integrated into agentic systems
Benefits
Comp & perks- Development opportunities
- GROW and Mentoring programs
- Internal events like the APEX Expo
- Tools such as Linkedin Learning