Job Summary:
ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. They are seeking an AI-ML Tech Lead to own the end-to-end architecture for AI-agent systems and lead technical teams in developing and implementing AI/ML solutions. The role involves collaborating across functions to translate business requirements into scalable technical solutions while ensuring compliance with security and governance standards.
Responsibilities:
• 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, 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.
• 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.
Qualifications:
Required:
• 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:
• 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.
Company:
ApTask is a staffing and recruiting company offering staffing, project, and workforce solutions. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 501-1000 employees. The company is currently Growth Stage.
