AI Engineer

Quantiphi; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Quantiphi is seeking an experienced AI Engineer (MLE Architect) to build a next-generation AI-driven workflow platform using agentic architecture. You will own end-to-end design, enterprise integration, security, and scalability across Python back-end services and React front-ends in a cloud-native AWS environment.

The role emphasizes guiding AI coding assistants, multi-agent collaboration, and secure, multi-tenant architectures.

Qualifications

• Deep knowledge of agentic workflows and multi-agent orchestration.
• Proficiency in Python with AI agents development.
• Experience supervising AI coding assistants in production.
• Strong enterprise integration and cloud architecture skills.
• Frontend React experience and AWS expertise.

Responsibilities

• Architect and build full-stack enterprise platforms with agentic workflows.
• Translate requirements into scalable AI-powered workflows.
• Design orchestration, memory handling, and tool invocation.
• Integrate AI workflows with internal and external systems.
• Guide coding assistants to accelerate delivery with security and reliability.
• Design event-driven architectures on AWS.
• Develop secure Python back-end services.
• Build React front-end for AI-assisted workflows.
• Enforce identity, authentication, authorization, and multi-tenant security.
• Support deployments, including on-site integrations.
• Contribute to CI/CD, IaC, and observability.

Skills

Agentic workflows

Multi-agent orchestration

Python programming

AI agent supervision

ChatGPT/Copilot tools

Tools

LangGraph

AWS

CI/CD pipelines

GitHub Copilot

Job description

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We’ve been recognized with:

• 21x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role: AI Engineer (MLE Architect - Agentic Workflows & Enterprise Integration)

Experience Level: 5 plus

Work Location: US (Remote)

Role Overview:

Quantiphi is seeking an experienced AI Engineer to help build a next-generation, AI-driven workflow platform leveraging agentic architecture to power intelligent, scalable solutions. This role focuses on translating inputs from customer requirements and internal product teams into robust, multi-agent workflows that drive efficiency, innovation, and business impact.

You will operate in a human-in-the-loop development model, guiding AI coding assistants and autonomous agents while owning end-to-end system design, enterprise integration, security, and scalability. Working across the full stack, Python back-end services, React front-end applications, and cloud-native (AWS) environments, you will deliver production-grade platforms that integrate seamlessly within complex enterprise ecosystems.

Key Responsibilities:

• Architect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns
• Translate inputs from internal product teams into scalable, AI-powered workflows and services
• Design and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation
• Apply enterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systems
• Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainability
• Design and operate event-driven architectures using AWS native services and messaging middleware
• Build secure Python back-end services for AI agents, workflow execution, and enterprise integrations
• Develop React-based front-end applications supporting complex, AI assisted user workflows
• Design and enforce identity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systems
• Build and operate multi-tenant architectures with strong guarantees around security, scalability, and compliance
• Support customer deployments, including occasional on-site builds and integrations
• Contribute to CI/CD pipelines, infrastructure as code, observability, and operational readiness

Basic Qualifications:

• Agentic Workflows & AI Systems
• Expert-level understanding of agentic workflow patterns, Multi-agent orchestration
• Strong proficiency in Python, with hands-on experience building AI agents and workflow systems
• Expert-level experience with LangGraph or equivalent agent orchestration frameworks
• Deep experience using and supervising coding assistants (ChatGPT, Cursor, Claude) in production environments
• Proficiency with ChatGPT tools, structured prompting, and multi-agent collaboration
• Enterprise Integration & Architecture
• Expert-level understanding of enterprise integration patterns, including:
• Strong understanding of web architecture, distributed systems, and cloud native design
• Proven experience designing and operating multi-tenant platforms
• Deep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcement
• Front End, Cloud & Delivery
• Advanced experience building React web applications
• Expert-level understanding of AWS, including:
• Strong experience with CI/CD pipelines and automated deployments
• Ability to operate effectively in a human-plus-AI development model, where AI produces code and engineers provide architectural oversight
• Occasional travel for customer or on-site builds may be required

Other Qualifications (OQs):

• Experience in Life Sciences or Healthcare, particularly clinical or commercial platforms
• Familiarity with FHIR and HL7 standards
• Experience building customer-facing enterprise platforms
• Background in platform engineering or internal developer platforms (IDPs)

What’s in it for YOU at Quantiphi:

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!