Remote Lead Python AI Systems Architect

Senior Information Technology Recruiter at Noblesoft Solutions

100% Remote Role

Position:
Lead Full Stack Python Developer

Contract Duration: 12+ Months

Client is pioneering a new class of agentic AI systems—intelligent, adaptive platforms that continuously learn from firm knowledge and act responsibly to enhance decision‑making and client outcomes. These systems will enable real‑time knowledge orchestration and insight generation across the enterprise, amplifying the collective intelligence of our advisors, associates, and business units.

As part of the Agentic AI Data Science team, you will architect and deliver scalable, secure, and high‑performance agentic solutions using and extending frameworks such as Strands, CrewAI, Lang Graph, Agent Core, and related technologies. You will help design the foundational infrastructure that allows these systems to learn safely, adapt in real time, and deliver measurable value—all while operating within the disciplined, client‑first culture that defines the client.

This is a hands‑on engineering role requiring exceptional technical depth, strong design judgment, and a passion for building systems that are both innovative and enduring. You’ll collaborate across engineering, data, and governance teams to ensure every solution balances speed, integrity, and long‑term impact.

• Architect and Build Agentic Systems:
  Design and implement agentic AI architectures capable of reasoning, planning, and self‑adaptation within firm‑approved security and compliance boundaries.
• Leverage and Extend Frameworks:
  Utilize and enhance frameworks such as Strands, CrewAI, Lang Graph, and Agent Core to create standardized, reusable components that accelerate agentic development across teams.
• Cloud Engineering:
  Develop secure, resilient, and scalable cloud‑native solutions using AWS services (Lambda, ECS, S3, API Gateway, Sage Maker, Bedrock, etc.) to support production‑grade AI operations.
• Monitoring and Evaluation:
  Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior.
• Integration and Governance:
  Collaborate with security, risk, and compliance to embed governance, auditability, and ethical safeguards into all systems.
• Collaboration:
  
  Partner with data science, enterprise architecture, and application engineering teams to integrate agentic capabilities into firm platforms.
• Innovation Leadership:
  Research, test, and recommend new frameworks and patterns that responsibly advance the firm’s AI capabilities.
• Ownership:
  Drive full lifecycle delivery—from technical design through deployment and iteration—maintaining high standards of reliability and documentation.
• Other responsibilities as assigned.

This role is at the leading edge of client’s AI evolution—building systems that convert the firm’s collective intelligence into secure, adaptive knowledge that serves clients better every day.

It’s demanding work—technically complex, mission‑critical, and transformative—but it’s work that matters. You’ll have the opportunity to shape the systems that define how knowledge flows, how teams collaborate, and how the firm competes at the top of the industry for years to come.

• Proficiency in Python (with experience in Type Script, Go, or Java a plus).
• Solid understanding of AWS architecture and services—deployment, monitoring, security, and cost optimization.
• Familiarity with agentic or LLM frameworks such as Strands, CrewAI, Lang Graph, Agent Core, or similar.
• Experience with retrieval systems, vector databases, embeddings, and orchestration frameworks.
• Strong grounding in secure API design, data modeling, and CI/CD automation.
• Proven record of writing clean, testable, production‑grade code.

Mindset:
Deep curiosity, bias toward execution, and respect for precision and reliability.

Financial services experience preferred but not required.

• Analytical Thinking:
  Deconstruct complex technical and business challenges into clear, scalable solutions.
• Communication:
  Translate advanced technical concepts into shared understanding across…