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, LangChain, LangGraph, CrewAI, 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 AMPscript 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