AI Engineer
- Excel
- AI
- GCP
- AWS
- Snowflake
- AI/ML
- Machine Learning
- System Design
- Python
- React.js
- ChatGPT
- Cursor
- Claude
- IaC
- RBAC
- DynamoDB
- Amazon EventBridge
- RabbitMQ
- VPC
- IAM
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
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.Â
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.Â
Your next big opportunity starts here!
For more details, visit:Websiteor 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 buildfull-stack, enterprise-grade platforms using reusable and modular agentic workflow patternsÂ
Translate inputs frominternal product teams into scalable, AI-powered workflows and servicesÂ
Design and implementagentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluationÂ
Applyenterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systemsÂ
Guide and supervisecoding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainabilityÂ
Design and operateevent-driven architectures using AWS native services and messaging middlewareÂ
Build securePython back-end services for AI agents, workflow execution, and enterprise integrations
DevelopReact-based front-end applications supporting complex, AI assisted user workflowsÂ
Design and enforceidentity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systemsÂ
Build and operatemulti-tenant architectures with strong guarantees around security, scalability, and complianceÂ
Support customer deployments, including occasional on-site builds and integrationsÂ
Contribute toCI/CD pipelines, infrastructure as code, observability, and operational readinessÂ
Basic Qualifications:
Agentic Workflows & AI SystemsÂ
Expert-level understanding ofagentic workflow patterns, Multi-agent orchestrationÂ
Tool-based reasoning and executionÂ
Human-in-the-loop controlsÂ
Workflow state, memory, and evaluationÂ
Strong proficiency in Python, with hands-on experience building AI agents and workflow systemsÂ
Expert-level experience withLangGraph or equivalent agent orchestration frameworksÂ
Deep experience using and supervisingcoding assistants (ChatGPT, Cursor, Claude) in production environments
Proficiency withChatGPT tools, structured prompting, and multi-agent collaborationÂ
Enterprise Integration & ArchitectureÂ
Expert-level understanding ofenterprise integration patterns, including:Â
Event-driven and asynchronous integrationÂ
API-based and message-based communicationÂ
Workflow orchestration and choreographyÂ
Integration with shared enterprise servicesÂ
Strong understanding ofweb architecture, distributed systems, and cloud native designÂ
Proven experience designing and operatingmulti-tenant platformsÂ
Deep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcementÂ
Front End, Cloud & DeliveryÂ
Advanced experience building Reactweb applicationsÂ
Expert-level understanding of AWS, including:Â Â
DynamoDBÂ
EventBridgeÂ
Messaging systems (e.g., RabbitMQ)Â
Middleware and integration servicesÂ
VPC networking, IAM, and security boundariesÂ
Strong experience withCI/CD pipelines and automated deploymentsÂ
Ability to operate effectively in ahuman-plus-AI development model, where AI produces code and engineers provide architectural oversightÂ
Occasional travel for customer or on-site builds may be required
Other Qualifications (OQs):
Experience inLife Sciences or Healthcare, particularly clinical or commercial platforms
Familiarity withFHIR andHL7 standardsÂ
Experience buildingcustomer-facing enterprise platformsÂ
Background inplatform engineering or internal developer platforms (IDPs)Â
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!
AI Engineer · wd1:quantiphi:careers_at_quantiphi