HI
AI Architect/Tech Lead
Han IT Staffing
šŗšø United States
On-site
Staff / Principal
3 months ago
- AI
- Microservices
- SOAP
- JSON
- YAML
- AI/ML
- Semantic Kernel
- RAG
- AWS
- IaC
- Terraform
- CRM
- Python
- TypeScript
- Java
- Azure
- GCP
3 months ago
Location: Columbus, OH (3 days onsite)
Duration: Contract
Key Responsibilities
Architecture Ownership
- Own the endātoāend architecture for the AIāagent, DSL, and SFMC automation ecosystem.
- Design agentic AI systems, backend microservices, APIs, and SFMC integrations (REST/SOAP).
- Define DSL schemas (JSON/YAML) for AIāgenerated workflows, ensuring extensibility, safety, and deterministic execution.
- Establish guardrails, validation, simulation, and compliance frameworks for AIāgenerated journeys and campaigns.
- Create and maintain system blueprints, including data flow diagrams, integration contracts, and deployment architecture.
- Act as the handsāon technical lead, guiding AI/ML engineers, DSL engineers, backend developers, and SFMC specialists.
- Lead POCs, prototypes, and architectural spikes to validate design decisions and technology choices.
- Drive coding standards, design patterns, and best practices across engineering teams.
- Conduct architectural reviews, code reviews, and design walkthroughs.
- Unblock teams, make technical decisions, and ensure alignment with architectural vision.
Partner with AI/ML teams on:
- Agent frameworks (Agent SDK, Lang Chain, Lang Graph, Crew AI, Semantic Kernel)
- RAG pipelines, embeddings, and vectorization
- LLM fineātuning, evaluation, and safety mechanisms
- Define prompting strategies, context engineering, and modelāinteraction patterns.
- Architect cloudānative, highly available systems on AWS using IaC (Terraform).
- Oversee backend microservices, orchestration layers, and execution pipelines.
- Journey Builder
- Email Studio
- Data Extensions
- Personalization logic
- REST/SOAP APIs
- Ensure observability, monitoring, logging, and reliability across all services.
- Ensure compliance with security, privacy, and governance requirements for AIāgenerated marketing workflows.
- Define architectural controls for safe execution, auditability, and data protection.
- Lead performance optimization, scalability planning, and risk mitigation.
- Work closely with business, product, CRM, and marketing operations teams to translate requirements into scalable technical solutions.
- Communicate architectural decisions clearly to both technical and nonātechnical stakeholders.
- 10+ years of software engineering experience with at least 3+ years in a Tech Lead or Architect role.
- Strong background in AI/ML systems, including:
- LLMs
- Agentic architectures
- Prompt engineering
- RAG pipelines
- Experience designing complex distributed systems and workflow automation platforms.
- Deep understanding of DSL design, interpreters, ASTs, and compiler concepts.
- Strong proficiency in Python, TypeScript, or Java.
- Experience with cloudānative architectures (AWS/Azure/GCP), containers, and microservices.
- Proven ability to lead engineering teams, conduct design reviews, and drive technical decisions.
- Excellent communication and stakeholder management skills.
- Experience building AIādriven workflow automation or autonomous agent systems.
- Familiarity with AMP script and SSJS.
- Background in marketing automation, CRM systems, or customer lifecycle design.
- Experience with security, compliance, and governance for AI systems.
- Prior experience in fixedābid or outcomeābased delivery environments.
- Experience with eventādriven architectures and messaging systems.
AI Architect/Tech Lead Ā· Han IT Staffing