Architect AI Engineering
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Job Summary
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.
Experience:8 Years
About the Role
We are looking for an experienced Architect to lead the design hardening and scaling of agentic AI systems taking prototype-stage LLM applications and evolving them into production-grade enterprise-ready platforms. This role sits at the intersection of AI engineering and software architecture requiring hands-on depth in agentic frameworks alongside strong fundamentals in backend systems design and cloud deployment.
Key Responsibilities
Agentic AI Development
- Design and build agentic workflows using frameworks such as LangGraph and tools like Claude Code to orchestrate multi-step tool-using AI agents
- Own prompt engineering strategy designing testing and iterating on prompts for reliability consistency and cost efficiency
- Evaluate and integrate LLM capabilities into broader application architectures
Prototype-to-Production Engineering
- Take early-stage AI prototypes and refactor them into robust maintainable production-grade systems
- Identify and remediate technical debt brittle logic and scalability bottlenecks common in fast-built AI proofs-of-concept
- Establish engineering rigor (testing observability error handling versioning) around previously ad hoc AI systems
Backend Engineering
- Architect and develop backend services in Python using FastAPI and async programming patterns
- Optimize application performance latency and throughput for AI-driven workloads
- Design clean well-documented APIs that support both internal and external consumption
Software Architecture & Design
- Apply sound software architecture principles and design patterns to ensure systems are modular scalable and maintainable
- Make and document key architectural decisions (system design data flow integration patterns trade-offs)
- Set technical standards and provide architectural guidance to engineering teams
Cloud & Infrastructure
- Design and deploy solutions on AWS and/or Azure leveraging cloud-native services for compute storage and orchestration
- Ensure systems are built with security cost-efficiency and scalability in mind from a cloud architecture standpoint
Required Skills & Experience
Area | Expectation |
Agentic AI Frameworks | Hands-on experience with LangGraph Claude Code or comparable agent orchestration tools |
Prompt Engineering | Demonstrated experience designing and refining LLM prompts for production use cases |
Python Engineering | Strong proficiency in Python FastAPI async/await patterns and performance optimization |
Software Architecture | Solid grounding in design patterns system design and architecture for production systems |
Cloud Platforms | Working experience with AWS and/or Azure (compute storage deployment pipelines) |
Systems Thinking | Proven ability to take a prototype and scale it into a reliable production-ready system |
Ideal Candidate Profile
- 8 years of overall software engineering experience with a meaningful portion in AI/LLM-based systems
- Comfortable operating as an individual architect/senior IC able to both write code and make architectural calls
- Experience working in fast-moving ambiguous environments where systems evolve from PoC to production under time pressure
- Strong communication skills to justify architectural decisions to both technical and non-technical stakeholders
Required Skills:
Must-Have Skills 79 years of PAM experience with strong hands-on CyberArk implementation and engineering expertise. Strong experience with CyberArk Core PAS / Self-Hosted and/or Privilege Cloud. Hands-on experience with EPV PVWA CPM PSM PTA CCP and Credential Providers. Extensive experience onboarding privileged service application database cloud and infrastructure accounts. Strong expertise in application onboarding Safe design account discovery credential dependency analysis password rotation reconciliation and session management. Expertise in developing and troubleshooting custom CPM plugins and reconciliation processes. Hands-on experience with custom PSM connectors and session-management integrations. Strong scripting and automation experience using REST APIs PowerShell Python and Shell scripting. Experience integrating CyberArk with AD/LDAP Entra ID/Azure AD MFA SIEM ITSM IGA SMTP and cloud platforms. Advanced troubleshooting across Vault CPM PSM PTA CCP and CyberArk integrations. Experience with installation upgrades migrations patching performance tuning HA DR and platform hardening. Experience implementing CyberArk AAM and enterprise secrets management. Strong understanding of service account governance credential rotation reconciliation and privileged access controls. Experience integrating CyberArk with Jenkins GitLab GitHub Actions Terraform Ansible and Azure DevOps. Experience implementing JIT access privileged session monitoring and advanced PAM security controls
Required Education:
BE / / MCA / . in Computer Science or equivalent degree from an accredited university.
