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AI/ML Tech Lead/AI Architect
Ref No.: 26-00561
Location: Wilmington, Delaware
Position Type:Contract
Job Title: AI/ML Tech Lead/AI Architect
Location: Wilmington, DE (Onsite)
Duration: Contract
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.