AI Architect/Tech Lead

Job Title: AI Architect/Tech Lead

Location: Columbus, OH (3 days 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.