Gen AI Architect

  • New York, NY
  • Posted 4 days ago | Updated 4 days ago

Overview

On Site
Depends on Experience
Full Time
Able to Provide Sponsorship

Skills

AI

Job Details

Greetings!

We are Photon, one of the world's largest Digital Platform Engineering companies providing a combination of Strategy Consulting, Creative Design and Technology Services to a wide range of customers. We work with 40% of the Fortune 100 companies.

< data-prosemirror-content-type="node" data-prosemirror-node-name="heading" data-prosemirror-node-block="true" data-pm-slice="0 0 []">Job Summary: </>

The AI Architect will be responsible for the end-to-end design, development, and deployment of Agentic AI solutions and platforms. This role requires a deep understanding of various AI techniques, strong software engineering skills, and the ability to translate complex research into scalable and production-ready solutions. You will lead the architectural decisions for our AI initiatives, collaborate closely with customers, research scientists, data engineers, and product managers, and play a pivotal role in shaping our future AI product.

Key Responsibilities:

Architectural Leadership: Design and lead the architectural development of AI systems, including model selection, training pipelines, inference strategies, and deployment infrastructure.

Agent Orchestration: Architect agent orchestration solutions aligned with customer requirements, ensuring timely implementation and delivery.

Platform Development: Develop resilient, scalable, and high-performance platform and tools to support product evolution and seamless production deployment.

Customer Interaction:Engage directly with customers, both internal and external, to understand their needs, gather feedback on Agentic AI product features, and present solution deliverables. Translate customer requirements into technical specifications for Agentic AI systems.

Collaboration: Work cross-functionally with AI research scientists to bridge the gap between cutting-edge research and the product. Collaborate with engineers to ensure optimal data pipelines for agent / model usage. Partner with product managers to understand requirements and deliver impactful AI features.

Performance Optimization: Optimize the platform and infrastructure for performance, scalability, and cost-efficiency.

Best Practices: Establish and enforce best practices for code quality, model versioning, experimentation tracking, and FinOps, TechOps, MLOps, AIOps for Agentic AI.

Mentorship & Guidance: Provide technical leadership and mentorship to junior AI engineers and researchers.

Innovation & Research: Stay abreast of the latest advancements in AI research and actively explore new techniques and tools to enhance our capabilities.

Documentation: Create comprehensive technical documentation for architectures, models, and processes.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.