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!
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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
Tool-based reasoning and execution
Human-in-the-loop controls
Workflow state, memory, and evaluation
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:
Event-driven and asynchronous integration
API-based and message-based communication
Workflow orchestration and choreography
Integration with shared enterprise services
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
DynamoDB
EventBridge
Messaging systems (e.g., RabbitMQ)
Middleware and integration services
VPC networking, IAM, and security boundaries
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!
