AI & Agentic Systems Architect

PATH - Product and Software House; Turkey; On-site; TRY 350,000 - 700,000; Full time

Job summary

PATH - Product and Software House in Turkey is seeking an AI & Agentic Systems Architect to design and implement advanced agent-based systems. You will define agent responsibilities, tool interfaces, memory and autonomy boundaries while coordinating with cross-functional teams.

The role demands hands-on backend or platform engineering, experience with LLM-based apps, containerization, Kubernetes, and secure, scalable architectures for enterprise-level solutions.

Qualifications

• Proven track record delivering working agentic systems.
• Experience with designing safe sandboxed execution.
• Experience with enterprise-scale SaaS multi-tenant architectures.
• Strong communication of architectural decisions.

Responsibilities

• Define agent responsibilities, interactions, memory, and autonomy boundaries.
• Build autonomous agents that plan, execute actions, and handle failures.
• Develop orchestration and durable state with retries and timeouts.
• Engineer isolated execution environments and secret management.
• Lead adoption and collaborate with engineering and security teams.

Skills

Software architecture

LLM-based applications

Agent orchestration

Kubernetes

CI/CD

Security best practices

Distributed systems

Tools

GitHub

GitLab

Backstage

PostgreSQL/pgvector

Vector search

Docker

Job description

We have come a long way from being an ambitious start-up to becoming a fully export-oriented offshore development center serving a long list of prestigious clients across the globe; enriching our experience, expertise, and portfolio along the way. After a humble start with open source technologies, we worked our way up into becoming an authority on a number of key fields- the development of large enterprise applications, mobile applications, applications that facilitate hardware-software interaction to name a few.

Following the motto “Consistently delivering quality solutions”, our team currently has 10 exclusive niche techies, with 100+ successful projects under their belts, covering a very wide range of technologies, solutions, and industry verticals. We are looking for an AI & Agentic Systems Architect to join Path team.

Requirements

• Strong experience in software architecture and hands-on backend or platform engineering.
• Practical experience designing, implementing, and operating LLM-based applications and tool-using agents.
• Understanding of agent planning, orchestration, context management, structured outputs, retrieval, and memory.
• Experience with distributed systems, APIs, event-driven architecture, asynchronous processing, and durable workflows.
• Ability to design safe execution of agent-generated code and commands using sandboxing and controlled environments.
• Experience with containers, Kubernetes, cloud infrastructure, CI/CD, and infrastructure as code.
• Understanding of AI evaluation, failure analysis, observability, and cost optimization.
• Strong knowledge of identity, authorization, secrets management, and application security.
• Ability to write production-quality code, review implementations, and communicate architectural decisions clearly.
• Evidence of delivering working systems, with clear ownership of architecture and implementation.

Preferred qualifications

• Experience with Azure, Azure OpenAI, .NET Aspire, and enterprise AI integrations.
• Experience with agent frameworks and workflow engines, with the ability to assess their limitations and build custom components where needed.
• Familiarity with Model Context Protocol (MCP), agent interoperability, and enterprise tool integration.
• Experience with GitLab or GitHub, internal developer platforms such as Backstage, and automated software delivery.
• Experience with PostgreSQL/pgvector, vector search, hybrid retrieval, and enterprise RAG.
• Experience designing multi-tenant SaaS platforms and dynamically configurable systems.
• Familiarity with DDD, platform engineering, developer experience, and sociotechnical architecture.
• Experience in retail, e-commerce, or enterprise environments with complex integrations.

Key responsibilities

• Design agentic architectures: Define agent responsibilities, interaction patterns, tool interfaces, memory, state management, and appropriate boundaries of autonomy.
• Build autonomous agents: Implement agents that plan, execute actions, use tools, validate results, and recover from failures within defined permissions.
• Develop orchestration: Build workflows supporting task delegation, parallel execution, durable state, retries, timeouts, cancellation, checkpoints, and human approvals.
• Engineer agent infrastructure: Design isolated execution environments, containerized workers, queues, scheduling, resource limits, secrets management, and controlled network access.
• Build agent harnesses: Establish runtime controls for context management, tool execution, output validation, execution budgets, tracing, and reproducibility.
• Enable AI-native SDLC: Integrate agents with issue tracking, source control, CI/CD, testing, security scanning, documentation, and deployment workflows.
• Integrate enterprise knowledge: Design retrieval and memory systems using code repositories, architecture standards, service catalogs, and operational documentation.
• Embed security: Implement least-privilege access, tenant isolation, auditability, prompt-injection defenses, and safeguards against unauthorized actions or data exposure.
• Establish evaluation and observability: Measure task success, output quality, tool-use accuracy, reliability, latency, and cost through repeatable evaluations and production monitoring.
• Lead architectural decisions: Evaluate models and frameworks, document trade-offs, create reference implementations, and guide teams toward reusable patterns.
• Drive adoption: Collaborate with developers, platform engineers, security specialists, and business stakeholders to turn suitable use cases into measurable outcomes.