Description

Key Responsibilities
Architecture Ownership

• Own the end‐to‐end architecture for the AI‐agent, DSL, and SFMC automation ecosystem.
• Design agentic AI systems, backend microservices, APIs, and SFMC integrations (REST/SOAP).
• Define DSL schemas (JSON/YAML) for AI‐generated workflows, ensuring extensibility, safety, and deterministic execution.
• Establish guardrails, validation, simulation, and compliance frameworks for AI‐generated journeys and campaigns.
• Create and maintain system blueprints, including data flow diagrams, integration contracts, and deployment architecture.

Technical Leadership

• Act as the hands‐on 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.

AI/ML & Agentic Systems
Partner with AI/ML teams on:

• Agent frameworks (Agent SDK, Lang Chain, Lang Graph, Crew AI, Semantic Kernel)
• RAG pipelines, embeddings, and vectorization
• LLM fine‐tuning, evaluation, and safety mechanisms
• Define prompting strategies, context engineering, and model‐interaction patterns.

Backend, Cloud & Integration Architecture

• Architect cloud‐native, highly available systems on AWS using IaC (Terraform).
• Oversee backend microservices, orchestration layers, and execution pipelines.

Ensure robust integration with SFMC components:

• Journey Builder
• Email Studio
• Data Extensions
• Personalization logic
• REST/SOAP APIs
• Ensure observability, monitoring, logging, and reliability across all services.

Security, Governance & Compliance

• Ensure compliance with security, privacy, and governance requirements for AI‐generated marketing workflows.
• Define architectural controls for safe execution, auditability, and data protection.
• Lead performance optimization, scalability planning, and risk mitigation.

Cross‐Functional Collaboration

• 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 non‐technical stakeholders.

Required Skills & Experience

• 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 cloud‐native 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.

Preferred Qualifications

• Experience building AI‐driven 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 fixed‐bid or outcome‐based delivery environments.
• Experience with event‐driven architectures and messaging systems

Key Skills

Education

Any Graduate