Architect and Tech Lead Agentic AI

Role: Architect and Tech Lead Agentic AI

Location: NJ/TX/NC - Hybrid

Based on the latest guidance to hire a single resource who can cover both Architect and Tech Lead responsibilities here is a combined JD that merges the required skills and responsibilities from both roles.

Request you to please review the same.

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.