AI​/ML Tech Lead​/AI Architect

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.

• 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.

• Partner with AI/ML teams on:
  • Agent frameworks (Agent SDK, Lang Chain, Lang Graph, CrewAI, Semantic Kernel)
  • RAG pipelines, embeddings, and vectorization
  • LLM fine‑tuning, evaluation, and safety mechanisms
• Define prompting strategies
  , context engineering, and model‑interaction patterns.

• 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.

• 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.

• 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.

• 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, Type Script, 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.

• 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.